Electric Power

Annual Planning Study of Integrated Energy System Considering Seasonal Hydrogen Storage and Futures Carbon Trading

SUN Ziru, AI Qian, JULAITI Abuliz, HE Feng, YUAN Shaowei

2022, 55(8): 2-13. DOI: 10.11930/j.issn.1004-9649.202111037

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As the result of the ever-increasing penetration of new energy sources, particularly in order to facilitate the achievement of the dual carbon goals, it is of great importance to address the issue of seasonal fluctuations in the medium and long-term planning of new integrated energy systems. Firstly, this paper proposes a framework of multi-energy coupled integrated energy system considering both carbon flow and hydrogen energy. Choosing hydrogen-burning turbines instead of fuel cells as the hydrogen-electric coupling method, this paper investigates the process of hydrogen production-storage-use as seasonal energy storage. Secondly, in order to control the annual carbon emissions of the system, a futures-based carbon trading mechanism adapted to the annual planning of the system is proposed. This paper establishes an annual planning model for integrated energy systems in which the system modification cost, operation cost, carbon cost and penalty cost are set as the objective functions. The model is then solved using an improved differential evolutionary algorithm. Finally, the specific case study demonstrates that seasonal hydrogen storage can effectively smooth out the seasonal peak-to-valley difference of the net load curve. By virtue of the futures carbon trading mechanism, the system carbon trading cost can be reduced without exceeding the limit of the annual carbon emission of the system. The results of the algorithm can provide valuable reference for the annual planning of the new integrated energy system in the future.

Rural Integrated Energy System Planning Considering Multi-Industry Synergy

LI Min, LIU Qinhao, ZHAO Guan, ZHOU Buxiang, XIA Haidong, ZANG Tianlei

2022, 55(8): 14-22. DOI: 10.11930/j.issn.1004-9649.202110050

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With the continuous deepening of rural modernization, modern rural diversified industries such as rural planting, animal husbandry, and agricultural product processing industries are booming. Therefore，on the basis of rural diversified industries，this paper proposes a planning model of rural multi-energy system that includes rural diversified industries，waste disposal and renewable energy power generation. First，based on the study of waste treatment and energy output characteristics of the rural animal husbandry industry manure gas production facilities and waste pyrolysis gasification power generation facilities, and the electricity，gas，and thermal energy supply models was established for rural waste treatment facilities；second，study of the rural multi-energy and the demand characteristics of multiple types of energy loads such as electricity，heat and gas in the multi-industrial complex，and considering the synergy between the multi-industry, an energy demand model for the rural multi-energy complex was established. Finally，a large-scale village in the north was selected to simulate and verify the proposed method. The results show that the method in this paper has realized the full utilization of rural resources and the synergy of rural multiple industries，and improved economic benefits.

System Flexibility-Oriented Optimized Unit Operation in Wind Farms

LI Qian, GOU Luyang, LI Fan, ZHANG Anan, ZHENG Yadi, ZHOU Xipeng

2022, 55(8): 23-30. DOI: 10.11930/j.issn.1004-9649.202108097

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Among all existing wind power optimization operation models, only few of them apply operation strategies involving the optimization of internal units in wind farms. Moreover, most wind power units participate in the system dispatching as "passive" role, overlooking the potential capability of wind power itself to provide flexibility. With regards to this issue, this paper proposes a new method for the optimal operation of units in wind farms that can provide system flexibility. First, the authors analyze the flexible resources and flexibility requirements of wind farms from both the supply side and the load side, explore the feasibility of wind power as a flexible resource, and then establish the system flexibility model respectively. Secondly, based on their operating characteristics, the wind turbines, are classified using FCM classification algorithm in terms of their flexibilities such that the equivalent virtual power dispatch model of the units are established. Then an optimal operation model of wind farm units is constructed to provide system flexibility by which the optimal generation output plan of the wind farm is obtained while minimizing the damage to the wind farm units. Finally, taking a wind farm as an example, the correctness and effectiveness of the method is verified through the revised IEEE standard testing system.

Optimal Configuration Method of New Energy Capacity for Rural Households Considering Impact of Electric Vehicles

ZHAO Anjun, WANG Pengzhu, JING Jing, GAO Zhikun, LI Wang

2022, 55(8): 31-39,50. DOI: 10.11930/j.issn.1004-9649.202110007

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For optimal configuration of the rural household new energy system with photovoltaic power generation as main source, a new life cycle optimization configuration method is proposed for rural household new energy system from the perspective of user economic benefits, which uses electric vehicles (EVs) as energy storage facilities and considers the travel demands of users. Firstly, an optimal configuration model is established with the objective of minimum annual system energy cost and maximum self-generation and self-use rate. And a new energy system integrated operation model is formulated based on the electricity price and the demand for electric vehicles. And then the particle swarm optimization (PSO) algorithm is applied to solve the optimal configuration capacity of distributed power in the household new energy system. Finally, simulation experiments are carried out based on actual electricity load data and meteorological parameters for typical rural households in Shijiazhuang, Hebei. Results show that the combination of electric vehicles and photovoltaic power can effectively improve the system energy efficiency and reduce the energy cost.

Fast Positioning of Marginal Hosting Capacity and Optimal Selection of Accommodation Scheme for Distributed PVs

CHEN Can, BAI Minghui, ZHANG Wanming, XI Haikuo, YIN Zhaolei, SHAO Yinchi, WANG Xiaoxiao, MA Yuan

2022, 55(8): 40-50. DOI: 10.11930/j.issn.1004-9649.202109050

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With rapid development of distributed photovoltaic(PV), it is becoming of great importance to evaluate PVs’ hosting capacity for the planning and operation of distribution power system. In this paper, a fast calculation method for marginal hosting capacity (MHC) and optimal selection of accommodation scheme for PVs considering different objective functions is proposed. Firstly, the paper mainly takes two important constraints into account, i.e., voltage profile and thermal limits of transmission lines. For each stochastic scenario, the MHC is calculated using dichotomy method, which overcomes the disadvantage of low computation efficiency caused by the linear increase of PVs’ capacity for each simulation scenario. Then, the impacts of PVs’ locations and numbers on MHC are analyzed respectively. Furthermore, in order to achieve the optimal photovoltaic accommodation scheme with comprehensive satisfaction, the daily voltage deviation rate, daily upper voltage security margin, daily power transmission loss as well as hosting capacity are calculated. Finally, the proposed method has been implemented in a real distribution network in Chengde city and its effectiveness is verified.

Techno-economically Optimal Configuration of Energy Storage for Western Inner Mongolia

DOU Dong, WANG Yanyu, LI Xin, YANG Wensheng, ZHOU Wenqi, LI Haiqing, ZHANG Shiying

2022, 55(8): 52-63. DOI: 10.11930/j.issn.1004-9649.202203004

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Due to the gradual increase in the installed capacity proportion of renewable energy in western Inner Mongolia in recent years, large-scale energy storage needs to be deployed to solve the problems caused by the intermittency and fluctuation of renewable energy to the power system. This paper designs and proposes a techno-economically optimal configuration model for energy storage in western Inner Mongolia to achieve the optimal energy storage configuration in this region. Specifically, the site selection and type selection for energy storage in western Inner Mongolia are studied by taking into account both technical and economic performance. Then, with the goal of suppressing wind and photovoltaic (PV) output fluctuation maximally and maximizing the revenue of energy storage projects, including their external value, a techno-economically optimal configuration model for energy storage is constructed and solved with the NSGA-II algorithm. An empirical study of a wind and PV resource aggregating area in western Inner Mongolia shows that when the suppression rate of wind and PV output fluctuation is controlled within 30% and the ratio of PV installed capacity to wind power installed capacity is low, deploying a certain scale of energy storage can obtain remarkable effects in both the technical and economic aspects. Finally, an energy storage configuration scheme based on the site selection, type selection, and empirical analysis results is proposed for western Inner Mongolia.

Research on Economic Scheduling of ES Peak and Frequency Regulation Based on Dynamic Peak-Valley Time Division

WANG Yali, YE Ze, HUANG Jiyuan, WEI Wen, DAI Shuangfeng, ZHANG Bingyu

2022, 55(8): 64-72. DOI: 10.11930/j.issn.1004-9649.202201088

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In order to effectively utilize energy storage (ES) devices and improve the accuracy of ES’s switching between multi-application scenarios, this paper proposes a peak-valley time division method based on equal capacity after analyzing ES’s multi-application scenarios and tries to improve the peak-valley time division. In addition, an economically optimized model of ES multi-application scenarios is constructed based on dynamic peak-valley time division, which employs ES to suppress load fluctuation during non-peak regulation, makes ES function normally even in idle hours, and improves ES’s utilization rate and economic benefits. Finally, the simulation analysis shows that compared with the economic model of monotonic peak regulation, the economically optimized model of ES multi-application scenarios can reduce the payback period by 1.17 years. Furthermore, compared with the monotonic peak time division, the dynamic peak-valley time division method can shorten the payback period by 1.75 years, which verifies the feasibility of the method.

Technology of Lithium-Ion Battery State-of-Health Assessment Based on Data-Driven

LI Chong, WANG Chenghui, WANG Gao, LU Zonghu, MA Chengzhi

2022, 55(8): 73-86,95. DOI: 10.11930/j.issn.1004-9649.202202012

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The battery state of health (SOH) is a key factor affecting the large-scale application of lithium-ion batteries, and the data-driven lithium-ion SOH assessment method has become a hot topic in current related research. In order to systematically dissect the key technologies and difficulties of the data-driven battery SOH assessment method, this paper reviews the current research progress from four core links, namely, battery data sources, feature engineering, assessment models, and validation approaches. By analyzing the basic mechanism and comparing the advantages and disadvantages of various methods, this paper pinpoints the bottlenecks that restrict the development of technology and puts forward key directions for future research to promote the development and application of lithium-ion battery SOH assessment based on data-driven technology.

Research on Online Monitoring Method of Battery Cluster Inconsistency Based on Ohmic Internal Resistance Voltage Drop

LIU Wenjun, OU Mingyong, XIA Xiangyang, LI Xianghua, YUE Jiahui

2022, 55(8): 87-95. DOI: 10.11930/j.issn.1004-9649.202201061

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Due to the difference between the initial performance parameters and the external working environment of battery packs, safety monitoring for the inconsistency in the working process is important. If each single cell in the pack is detected and processed in real time, excessive data will be collected, which makes bad data easily appear. Therefore, under the condition of ensuring the safe operation of battery clusters in energy storage power stations, this paper explores the floating law of voltage drop caused by the ohmic internal resistance of battery clusters and battery packs during the constant current discharge and proposes an online evaluation method of battery cluster inconsistency based on ohmic internal resistance voltage drop. By this method, the voltage drop caused by the ohmic internal resistance of battery clusters and characterization pack is obtained, and the linear relationship is established by real-time fitting. The change rate is calculated by derivation and recorded online. If battery clusters are inconsistent due to the aging of battery packs, the change rate will increase, and the online evaluation will be carried out accordingly. The feasibility of the proposed method is verified by experiments.

Accurate Current Sharing Strategy for Distributed Energy Storage System in DC Microgrids

WANG Bo, ZHANG Zhanying, ZHANG Xiao, XI Shengzhe, DENG Jin, MI Yang

2022, 55(8): 96-103,112. DOI: 10.11930/j.issn.1004-9649.202201057

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In islanded direct current (DC) microgrids, the power balance between power generation and load consumption must be maintained by the energy storage system (ESS). To avoid the over-charging or over-discharging of distributed energy storage units (DESUs), this study designs the state of charge (SOC) balancing strategy based on adaptive virtual resistance for DESUs with different capacities. Meanwhile, it proposes an accurate current sharing method to eliminate the impact of mismatched line resistance on SOC balancing. With the proposed strategy, the DESUs with high SOC can supply more power to DC microgrids than the DESUs with low SOC in the discharging period and vice versa. Additionally, the stability of the proposed scheme is analyzed according to the characteristic equation of the system. Finally, the results of calculation examples based on real-time digital simulation (RTDS) verify that the proposed control strategy is effective.

Harmonic State Estimation Method Based on Bayesian Optimized Elastic Network Regression

MA Siqi, WANG Zhong

2022, 55(8): 104-112. DOI: 10.11930/j.issn.1004-9649.202101017

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When the regression algorithm is used to estimate the harmonic state of power system, the high correlation between harmonic sources will cause the ill condition of the normal matrix, which will significantly affect the accuracy of harmonic estimation. In order to accurately estimate the harmonic state of the power system, a harmonic state estimation method is proposed based on Bayesian optimization elastic network regression. Firstly, when the least square method is used to estimate the harmonic state, the weighted 1-norm and 2-norm are added to the penalty function at the same time; In addition, in order to estimate the harmonic state more efficiently and accurately, the Gaussian process and Bayesian optimization are applied to select the weight of 1-norm and 2-norm; Finally, the effectiveness of the proposed method is verified in IEEE14 node. When there is correlation between harmonic sources, the proposed method can still achieve reasonable harmonic source location and harmonic responsibility division.

Fault Location Method for Distribution Lines Based on Loss Power Matching

YANG Xihang, HUANG Chun, SHEN Yatao, HU Nianen, WAN Ziheng

2022, 55(8): 113-120. DOI: 10.11930/j.issn.1004-9649.202112050

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It is difficult to locate faults in the distribution lines with low automation or non-automation which lack automation devices such as feeder terminals. For this problem, a fault location method for distribution lines based on loss power matching is proposed. First, the corresponding relationship between the trip switch and the power loss of the line is analyzed to put forward the principle of fault location, and the engineering feasibility is expounded. Then, the abnormal power loss of the line is judged and the line loss power is calculated by ultra-short-term load forecasting. Finally, the line loss power value is matched with each switch power value to locate the position of the trip switch caused by the fault and determine the fault section. The analysis results of simulation and engineering examples show that this method can quickly and effectively locate the fault section and reduce the scope of emergency repair. In addition, as the method does not rely on the distribution network automation system, it is especially suitable for low-automated and non-automated distribution lines.

Application of Fuzzy Analytic Hierarchy Process in Selection of Power Grid Operation Schemes

ZHU Tao, XIE Yigong, ZHONG Shaojun, CHEN Wei, ZHANG Peng

2022, 55(8): 121-128. DOI: 10.11930/j.issn.1004-9649.202101020

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From the perspective of safe and stable operation of power grids, a study is made on a method to judge the advantages and disadvantages of power grid operation schemes. Through an analysis of the relevant factors affecting the safe and stable operation of power grids, a hierarchical fuzzy evaluation matrix group is established in terms of power flow distribution, operation timeliness, equipment health and load loss. The evaluation matrix is created and applied according to the severity level of various factors. Based on the automatic topological analysis of the operation data, an automatic evaluation is made on the consequences caused by different schemes according to the evaluation model of various factors, and the advantages and disadvantages of the operation schemes are automatically evaluated. The case study shows that compared with manual disposal, the proposed method has significant improvement in disposal efficiency and rationality.

Conductor Galloping Distribution Map of Liaoning Province Developed with Specific Return Period

LI Yongsheng, YANG Jialun, ZHENG Weigang, LIU Bin, GAO Zhengxu

2022, 55(8): 129-134. DOI: 10.11930/j.issn.1004-9649.202011010

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The galloping distribution map plays a key role for anti-galloping design of overhead transmission lines, it is thus urgent to scientifically develop a regional galloping distribution map dedicated for the power grid. Based on the historical meteorological data of 62 meteorological stations in Liaoning Province for the winter of 1999-2020, the number of extremum galloping days with the return period of 30a, 50a and 100a is achieved respectively using the generalized extreme value distribution model. The principles for grading conductor galloping are proposed, and the extremum galloping days with a specific return period in the areas around the meteorological stations are obtained with the Krieger interpolation method. Finally, according to the galloping grading principles, the distribution maps of Liaoning Province with the return period of 30a, 50a and 100a are developed respectively, which are suitable for 110-220 kV, 330-750 kV, and UHV AC and DC lines. The developed galloping distribution map with a specific return period is basically consistent with the historical galloping record in Liaoning Province, which is of great significance to improve the ability and level of the power grid to resist the galloping disaster.

Feature Extraction and Identification Method of Ice-covered Saddle Mircotopography for Transmission Lines

HU Jing, DENG Ying, JIANG Xingliang, ZENG Yunrui

2022, 55(8): 135-142. DOI: 10.11930/j.issn.1004-9649.202204025

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Transmission line icing is a serious threat to the safe and stable operation of China's power system. To address the problem of subjective classification of ice-covered microtopography areas for transmission lines, a research is carried out on using the digital elevation model (DEM) and the icing-caused fault statistics of transmission lines of Jiangxi Province to identify the saddle microtopography for transmission line corridors. A set of indicators are proposed for identifying the saddle microtopography, and used to extract the microtopography features of the sample areas. On this basis, a method is proposed for identifying the saddle topography for transmission line corridors. The validity of the saddle topography features and the proposed identification method has been verified. The research results can provide a reference for differentiated anti-icing design of transmission lines.

Switching Impulse Test of UHV Live Working Insulating Tool and Experimental Electrode Optimization

YU Guangkai, LIU Ting, ZHU Kai, NIE Lin, LIANG Jiakai

2022, 55(8): 143-150. DOI: 10.11930/j.issn.1004-9649.202203063

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At present, the electrode arrangement still follows the low voltage level standard when the UHV live-working insulating tools are tested for operation impulse withstand voltage. However, the test voltage and the discharge interval are greatly increased, and discharge often occurs in the non-test channels such as the interval between insulating tools, and the interval between test electrode and the earth or surrounding frames. For this reason, standard wave switching impulse tests are conducted on the insulating tools used for live-working under typical working conditions and test conditions, and the discharge paths under test conditions are counted. An optimization scheme of using 8-bundle U-shaped analog wires is proposed, and corresponding tests are conducted for verification. The results show that using the 8-bundle U-shaped analog wires can significantly reduce the probability of dispersive discharge in non-test channels. The horizontal spacing of the test specimens shall not be less than 5m due to the presence of air gap arcing. After the test electrode is improved, the discharge voltage of the 6.3-m-long insulating rod is 2417 kV, which is 6.9% higher than that of the standard electrode, 32.1% higher than the minimum discharge voltage under typical working conditions. When the insulating tools are tested for withstand voltage, it is recommended to correct the test voltage according to the withstand voltage requirements of the working conditions.

Assessment Method of Comprehensive Energy Saving Potential of Distribution Network Considering Source-load Power Uncertainty

YANG Zuoxiang, WANG Jingjing, WU Jiang, TANG Shasha, HOU Bin

2022, 55(8): 151-156,164. DOI: 10.11930/j.issn.1004-9649.202110021

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In order to effectively evaluate the energy-saving potential of active distribution network, the evaluation method of energy-saving transformation scheme of distribution network is studied.The K-means clus-tering method is employed to extract typical scenarios of distribution network, and the forward push back method is used to calculate the power flow in typical scenarios, then energy-saving transformation schemes are for-mulated according to the power flow calculation results.A comprehensive energy-saving potential evaluation index system with multiple indexes is constructed, and a comprehensive evaluation method with hybrid decision-making model is proposed. The effectiveness of the proposed method is verified by a simulation example.

Safe Operation Area of Energy-Storage-Free Dynamic Voltage Restorer

ZHU Mingxing, LU Xuan, ZHANG Huaying, WANG Qing

2022, 55(8): 157-164. DOI: 10.11930/j.issn.1004-9649.202101039

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Energy-storage-free dynamic voltage restorer (DVR) is a common device used to solve voltage sag problems in engineering, but its actual operation is limited by the parameters of application scenarios. To solve this problem, an algorithm is proposed for the safe operation area of energy-storage-free DVR, which can calculate the maximum compensation capacity of energy-storage-free DVR based on the application scenario parameters, thus standardizing the application of energy-storage-free DVR in engineering. Firstly an impedance model of the system is built based on the relationship between the cable, transformer and the safety compensation range of the energy-storage-free DVR device. Secondly, the secondary voltage sag caused by the compensation process of the energy-storage-free DVR is analyzed, and the safe operation area of the energy-storage-free DVR device is calculated based on the overload capacity of the system. Finally, the calculation method of the safe operation area is further clarified by simulation analysis. The proposed calculation method determines the safe operation area of the new energy-storage-free DVR under the constraint conditions of the application scenarios, which provides a theoretical reference for the effective application of the energy-storage-free DVR.

Deadbeat Control Strategy for Improving the Harmonic Characteristics of Medium Voltage MMC

GUO Hanchen, WANG Chen, FAN Ying, WANG Yi, TIAN Yanjun, TAN Kaidong

2022, 55(8): 165-170. DOI: 10.11930/j.issn.1004-9649.202109135

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In order to solve the problem of current distortion of the modular multilevel converter (MMC), this paper proposes the deadbeat control strategy for the medium voltage MMC. In each control period, the strategy calculates the number of on-off sub-modules according to the difference between the actual and reference AC current, so the MMC can increase its switching frequency with low switching times. At the same time, the proposed strategy needs no proportional integral (PI) control and fewer times of coordinate transformation, so it has the faster speed of calculation.

Multi-stage Optimization Forecast of Short-term Power Load Based on VMD and PSO-SVR

LI Wenwu, SHI Qiang, LI Dan, HU Qunyong, TANG Yun, MEI Jinchao

2022, 55(8): 171-177. DOI: 10.11930/j.issn.1004-9649.202109157

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To reduce the non-linearity of the short-term load sequence and improve the prediction accuracy, a short-term load forecasting model based on multi-stage optimization variational mode decomposition (VMD) and particle swarm optimization optimize support vector regression (PSO-SVR) is proposed. In the first stage, VMD optimization and pre-processing of the original load sequence are used to decompose and obtain multiple relatively stable modal components. In the second stage, phase space reconstruction is used to optimize and reorganize each sequence component, and establish support vector regression（SVR）prediction model for each component. In the third stage, the particle swarm optimization（PSO）algorithm is applied to optimize the internal parameters of the SVR model to facilitate better training and forecasting. Finally, the predicted values of all sequences are accumulated to realize the short-term power load forecast. The results show that the proposed method can achieve higher prediction accuracy.

Simulation Initialization Method for AC/DC Hybrid Power Grid

E Zhijun, LI Zhenbin, YANG Bangyu, LIU Wei, YAO Weiping

2022, 55(8): 178-183. DOI: 10.11930/j.issn.1004-9649.202110006

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In order to improve the initialization stability and convergence speed of large-scale AC / DC hybrid power grid, the artificial neural network is used to fit its complex impedance, harmonic, and control characteristics, and then nested into the three-phase fundamental power flow calculation framework based on the improved node method for iterative correction. At the same time, in order to improve the initialization efficiency of large-scale AC / DC hybrid power grid, a parallel initialization calculation method based on multi-port equivalence is proposed. The simulation results of IEEE33 bus and 330 bus AC / DC hybrid power grid with photovoltaic power stations are used to verify the effectiveness of the proposed method.

Power Grid Information Leakage Prevention Technology Based on Service Calling Authentication Login Interface

LAI Danhui, LUO Weifeng, HUANG Jianhua, YUAN Xudong, QIU Ziliang

2022, 55(8): 184-189. DOI: 10.11930/j.issn.1004-9649.202111072

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In order to improve the security of power grid information, an anti leakage technology of power grid information based on service call authentication login interface is proposed. Build the information flow transmission path model, simulate the signal attack process, introduce the Markov chain method into the power grid steady state, quantify the risk of power grid information leakage, and design the terminal active immune structure. Simulation results show that the proposed method can reduce the number of information leakage, improve the efficiency and throughput of information encryption, and has the effect of preventing information leakage.

Energy Optimization of Electricity Wholesale Market Considering Carbon Emissions Trading and Green Power Certificate Trading Mechanism

YAO Jun, HE Jiao, WU Yongfei, YAN Caixia

2022, 55(8): 190-195. DOI: 10.11930/j.issn.1004-9649.202109143

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Based on a comparative analysis of the differences between carbon emissions trading (CET) market and green certificate trading (GPCT) market, and also on the mechanism of the two markets' impact on the electricity wholesale market, this paper builds an energy optimization model of the electricity wholesale market with the concepts of CET and GPCT systems. Numerical simulation results indicate that: The coordination influences of CET and GPCT system have a positive effect on optimizing the power structure and promoting carbon emission reduction in the power industry. With the total carbon emission target, there exists an optimal combination of carbon emission allowance volume and green power certificate proportion that meets the maximization of the gross profit of each power generation company.

Capacity Market Mechanism Design Under Electricity Market Mechanism in China

SUN Qixing, YOU Peipei, LI Chengren, LIU Sijia, LI Yanlin, GAO Xiao

2022, 55(8): 196-201. DOI: 10.11930/j.issn.1004-9649.202108049

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Starting from the necessity of ensuring the generation capacity adequacy of the power system, this paper studies the system and mechanism to ensure the reliable generation capacity of the power system, and puts forward the design method of the capacity market mechanism to adapt to the environment of China's power market, which is conducive to the construction of the capacity market mechanism coupled with the current mechanism, and ensure the sufficient generation capacity of the system and the long-term stable operation of the system.

A Review on Advanced Clean Coal Power Generation Technology Under "Carbon Peaking and Carbon Neutrality" Goal

DONG Jie, QIAO Jianqiang

2022, 55(8): 202-212. DOI: 10.11930/j.issn.1004-9649.202206017

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Under the goal of "double carbon", coal-fired power generation is gradually transitioning from the main energy to the underlying energy. Coal-fired power generation technology is constantly developing in various aspects, such as clean coal treatment, high-efficiency power generation and low-carbon treatment of emissions. At the same time, it is also transitioning to in-depth peak shaving auxiliary services and "coal +" coupled power generation. It is therefore of great significance to explore efficient and clean advanced coal-fired power generation technologies. This paper analyzes the research status of clean coal utilization technologies such as supercritical coal gasification, supercritical coal liquefaction and supercritical coal water oxidation, discusses the technical characteristics of advanced coal-fired low-carbon power generation modes such as supercritical coal water oxidation thermal power generation technology, supercritical CO₂ power cycle technology, integrated coal gasification combined cycle technology and ultra supercritical circulating fluidized bed technology, and explores the development trend of carbon capture utilization and storage technology. At the same time, the transition direction of clean coal power generation technology is prospected, which can provide development ideas for the realization of the goal of carbon peaking and carbon neutrality.

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