A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy

doi:10.11930/j.issn.1004-9649.202010037

Abstract

Abstract: Due to the high randomness and intermittency of renewable energy, the large-scale connection of renewable energy to the power grid will seriously affect the security and stability of the power system. This problem can be solved by developing thermo-electrical coupling micro-energy systems. A multi-objective robust planning method is therefore proposed for thermo-electrical coupling micro-energy system with consideration of wind power uncertainty. With the minimum investment & operation cost and minimum system peak-valley fluctuation as the goal, a multi-objective robust planning model is established for thermo-electrical coupling micro integrated energy system. The multi-objective problem is solved using the combined NSGA-II and TOPSIS algorithm. The simulation results show that the proposed method can improve the utilization rate of wind power and increase the system economy, and has a certain value for engineering applications.

Key words: thermal-electrical coupling micro-energy system, uncertainty, multi-objective optimization, robust planning

ZHANG Min, WANG Jinhao, CHANG Xiao, YANG Chaoying, LI Ran, SUN Changwen, FAN Rui. A Multi-objective Robust Planning Method for Thermal-Electrical Coupling Micro-energy System Considering the Uncertainty of Renewable Energy[J]. Electric Power, 2021, 54(4): 119-129,140.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202010037

https://www.electricpower.com.cn/EN/Y2021/V54/I4/119

References

[1] 刘涤尘, 彭思成, 廖清芬, 等. 面向能源互联网的未来综合配电系统形态展望[J]. 电网技术, 2015, 39(11): 3023-3034
LIU Dichen, PENG Sicheng, LIAO Qingfen, et al. Outlook of future integrated distribution system morphology orienting to energy Internet[J]. Power System Technology, 2015, 39(11): 3023-3034
[2] 李婷, 胥威汀, 刘向龙, 等. 含高比例可再生能源的交直流混联电网规划技术研究综述[J]. 电力系统保护与控制, 2019, 47(12): 177-187
LI Ting, XU Weiting, LIU Xianglong, et al. Review on planning technology of AC/DC hybrid system with high proportion of renewable energy[J]. Power System Protection and Control, 2019, 47(12): 177-187
[3] 章艳, 吕泉, 张娜, 等. 面向风电消纳的电-热调峰资源协同运行研究[J]. 电网技术, 2020, 44(4): 1350-1362
ZHANG Yan, LÜ Quan, ZHANG Na, et al. Cooperative operation of power-heat regulation resources for wind power accommodation[J]. Power System Technology, 2020, 44(4): 1350-1362
[4] 谢华宝, 许丹, 胡林献, 等. 电锅炉配置方式对弃风消纳效果的影响研究[J]. 电力系统保护与控制, 2019, 47(21): 126-133
XIE Huabao, XU Dan, HU Linxian, et al. Study on effect of electric boiler configuration method on wind power curtailment[J]. Power System Protection and Control, 2019, 47(21): 126-133
[5] KRAUSE T, ANDERSSON G, FRÖHLICH K, et al. Multiple-energy carriers: modeling of production, delivery, and consumption[J]. Proceedings of the IEEE, 2011, 99(1): 15-27.
[6] 王绍民, 陈力力, 李昭赫, 等. 可再生能源与热电联合响应的区域多能源电网集群运行优化模型[J]. 可再生能源, 2020, 38(4): 554-560
WANG Shaomin, CHEN Lili, LI Zhaohe, et al. Regional multi-energy grid cluster operation optimization model based on combined response of renewable energy and thermoelectricity[J]. Renewable Energy Resources, 2020, 38(4): 554-560
[7] 马恒瑞, 王波, 高文忠, 等. 区域综合能源系统中储能设备参与辅助服务的运行优化[J]. 电力系统自动化, 2019, 43(8): 34-40, 68
MA Hengrui, WANG Bo, GAO Wenzhong, et al. Operation optimization of energy storage equipment participating in auxiliary service in regional integrated energy system[J]. Automation of Electric Power Systems, 2019, 43(8): 34-40, 68
[8] 宋阳阳, 王艳松, 衣京波. 计及需求侧响应和热/电耦合的微网能源优化规划[J]. 电网技术, 2018, 42(11): 3469-3476
SONG Yangyang, WANG Yansong, YI Jingbo. Microgrid energy source optimization planning considering demand side response and thermo-electrical coupling[J]. Power System Technology, 2018, 42(11): 3469-3476
[9] 贾云辉, 张峰. 考虑分布式风电接入下的区域综合能源系统多元储能双层优化配置研究[J]. 可再生能源, 2019, 37(10): 1524-1532
JIA Yunhui, ZHANG Feng. A bi-level optimal configuration of multiple storage in regional integrated energy system with distribution wind power inclusion[J]. Renewable Energy Resources, 2019, 37(10): 1524-1532
[10] 曾鸣, 刘英新, 周鹏程, 等. 综合能源系统建模及效益评价体系综述与展望[J]. 电网技术, 2018, 42(6): 1697-1708
ZENG Ming, LIU Yingxin, ZHOU Pengcheng, et al. Review and prospects of integrated energy system modeling and benefit evaluation[J]. Power System Technology, 2018, 42(6): 1697-1708
[11] 罗艳红, 梁佳丽, 杨东升, 等. 计及可靠性的电—气—热能量枢纽配置与运行优化[J]. 电力系统自动化, 2018, 42(4): 47-54
LUO Yanhong, LIANG Jiali, YANG Dongsheng, et al. Configuration and operation optimization of electricity-gas-heat energy hub considering reliability[J]. Automation of Electric Power Systems, 2018, 42(4): 47-54
[12] 郑国太, 李昊, 赵宝国, 等. 基于供需能量平衡的用户侧综合能源系统电/热储能设备综合优化配置[J]. 电力系统保护与控制, 2018, 46(16): 8-18
ZHENG Guotai, LI Hao, ZHAO Baoguo, et al. Comprehensive optimization of electrical/thermal energy storage equipment for integrated energy system near user side based on energy supply and demand balance[J]. Power System Protection and Control, 2018, 46(16): 8-18
[13] 汪赛. 储能辅助电力系统调峰的容量需求研究[D]. 南宁: 广西大学, 2018.
WANG Sai. Research on capacity demand of the energy storage in power system peak shaving[D]. Nanning: Guangxi University, 2018.
[14] 易文飞, 张艺伟, 曾博, 等. 多形态激励型需求侧响应协同平衡可再生能源波动的鲁棒优化配置[J]. 电工技术学报, 2018, 33(23): 5541-5554
YI Wenfei, ZHANG Yiwei, ZENG Bo, et al. Robust optimization allocation for multi-type incentive-based demand response collaboration to balance renewable energy fluctuations[J]. Transactions of China Electrotechnical Society, 2018, 33(23): 5541-5554
[15] 曾鸣, 杨雍琦, 向红伟, 等. 计及需求侧响应的电力系统鲁棒优化规划模型[J]. 电力系统自动化, 2016, 40(17): 137-145
ZENG Ming, YANG Yongqi, XIANG Hongwei, et al. Robust optimization planning model of power system considering demand response[J]. Automation of Electric Power Systems, 2016, 40(17): 137-145
[16] BERTSIMAS D, LITVINOV E, SUN X A, et al. Adaptive robust optimization for the security constrained unit commitment problem[J]. IEEE Transactions on Power Systems, 2013, 28(1): 52-63.
[17] FERREIRA R S, BARROSO L A, CARVALHO M M. Demand response models with correlated price data: a robust optimization approach[J]. Applied Energy, 2012, 96: 133-149.
[18] 朱光远, 林济铿, 罗治强, 等. 鲁棒优化在电力系统发电计划中的应用综述[J]. 中国电机工程学报, 2017, 37(20): 5881-5892
ZHU Guangyuan, LIN Jikeng, LUO Zhiqiang, et al. Review of robust optimization for generation scheduling in power systems[J]. Proceedings of the CSEE, 2017, 37(20): 5881-5892
[19] 盛万兴, 叶学顺, 刘科研, 等. 基于NSGA-Ⅱ算法的分布式电源与微电网分组优化配置[J]. 中国电机工程学报, 2015, 35(18): 4655-4662
SHENG Wanxing, YE Xueshun, LIU Keyan, et al. Optimal allocation between distributed generations and microgrid based on NSGA-Ⅱ algorithm[J]. Proceedings of the CSEE, 2015, 35(18): 4655-4662
[20] 姜惠兰, 安星, 王亚微, 等. 基于改进NSGA2算法的考虑风机接入电能质量的多目标电网规划[J]. 中国电机工程学报, 2015, 35(21): 5405-5411
JIANG Huilan, AN Xing, WANG Yawei, et al. Improved NSGA2 algorithm based multi-objective planning of power grid with wind farm considering power quality[J]. Proceedings of the CSEE, 2015, 35(21): 5405-5411
[21] 李艳梅, 陈增. 基于联系度优化TOPSIS法的区域电能替代潜力评估研究[J]. 电网技术, 2019, 43(2): 687-695
LI Yanmei, CHEN Zeng. Study on regional electric energy substitution potential evaluation based on TOPSIS method of optimized connection degree[J]. Power System Technology, 2019, 43(2): 687-695
[22] 陈力, 胡钋, 杨德帅, 等. 基于综合权重与TOPSIS法的光伏并网影响综合评价[J]. 中国电力, 2016, 49(4): 154-159, 192
CHEN Li, HU Po, YANG Deshuai, et al. A comprehensive weighting and TOPSIS method based assessment on the impact of grid-connected PV generation[J]. Electric Power, 2016, 49(4): 154-159, 192
[23] 崔全胜, 白晓民, 董伟杰, 等. 用户侧综合能源系统规划运行联合优化[J]. 中国电机工程学报, 2019, 39(17): 4967-4981, 5279
CUI Quansheng, BAI Xiaomin, DONG Weijie, et al. Joint optimization of planning and operation in user-side multi-energy systems[J]. Proceedings of the CSEE, 2019, 39(17): 4967-4981, 5279
[24] 黄伟, 柳思岐, 叶波, 等. 基于电-热-气混合潮流的园区综合能源系统站-网协同规划[J]. 电力建设, 2019, 40(11): 73-86
HUANG Wei, LIU Siqi, YE Bo, et al. Station-network collaborative planning based on power-heat-gas multi-energy flow of RIES[J]. Electric Power Construction, 2019, 40(11): 73-86
[25] 顾伟, 陆帅, 王珺, 等. 多区域综合能源系统热网建模及系统运行优化[J]. 中国电机工程学报, 2017, 37(5): 1305-1316
GU Wei, LU Shuai, WANG Jun, et al. Modeling of the heating network for multi-district integrated energy system and its operation optimization[J]. Proceedings of the CSEE, 2017, 37(5): 1305-1316