计划与市场并存的日发电计划模型构建与分析

doi:10.11930/j.issn.1004-9649.202009107

中国电力 ›› 2022, Vol. 55 ›› Issue (1): 151-158.DOI: 10.11930/j.issn.1004-9649.202009107

• 统一电力市场体系构建 • 上一篇下一篇

计划与市场并存的日发电计划模型构建与分析

张书盈¹, 励刚², 滕晓毕², 程基峰¹, 严正¹, 王晗¹

1. 电力传输与功率变换控制教育部重点实验室(上海交通大学), 上海 200240;
2. 国家电网有限公司华东分部, 上海 200120

收稿日期:2020-09-27 修回日期:2021-08-26 出版日期:2022-01-28 发布日期:2022-01-20
作者简介:张书盈(1995-),女,硕士研究生,从事电力市场研究,E-mail:polarlight@sjtu.edu.cn;励刚(1973-),男,博士,高级工程师,从事电力系统运行与控制研究,E-mail:li_g@ec.sgcc.com.cn;严正(1964-),男,通信作者,教授,博士生导师,从事电力系统优化运行、电力系统稳定分析及电力市场研究,E-mail:yanz@sjtu.edu.cn
基金资助:
国家电网有限公司科技项目（电力现货市场下华东调度业务重构与区域电力辅助服务机制研究，SGTYHT/19-JS-214）

Modeling and Analysis of Daily Generation Schedule Considering the Coexistence of Planned Electricity and Market Trading Electricity

ZHANG Shuying¹, LI Gang², TENG Xiaobi², CHENG Jifeng¹, YAN Zheng¹, WANG Han¹

1. Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University), Shanghai 200240, China;
2. East China Branch of State Grid Corporation of China, Shanghai 200120, China

Received:2020-09-27 Revised:2021-08-26 Online:2022-01-28 Published:2022-01-20
Supported by:
This work is supported by Science and Technology Project of SGCC (Research on the Reconstruction of East China's Dispatching Business and Regional Electricity Auxiliary Service Mechanism Under the Electricity Spot Market, No. SGTYHT/19-JS-214)

摘要/Abstract

摘要： 随着中国电力市场化改革的不断推进，部分省市将在传统发电计划的基础上逐步引入市场化交易手段，在此背景下，如何构建计划电量与市场交易电量并存下的日发电计划模型是需要解决的问题。综合考虑了现有发电计划模式，构建计划电量分解与纳什均衡下市场交易电量分配相结合的日发电计划模型，研究不同市场化开放程度对日发电计划的影响，分别从经济性和安全性两个方面对所制定的日发电计划进行了评估。通过对中国华东地区某省级电网进行算例仿真，分析不同市场化交易电量对全系统发电成本和电力不足期望的影响，验证所提模型的有效性。

关键词: 电力市场, 发电计划, 纳什均衡, 粒子群算法

Abstract: With the continuous promotion of China's electricity market-oriented reform, some provinces and cities will gradually introduce market-oriented trading means on the basis of traditional generation schedule. In this context, how to establish the daily generation schedule model considering planned and trading electricity is an urgent problem to be solved. In this paper, a model of daily generation schedule that combines planned electricity decomposition and Nash equilibrium of market trading electricity is established, in which the existing mode of generation schedule is taken into account. By means of solving the model, the daily generation plan was evaluated in two aspects of economy and security, by studying the impact of different market openness. An example simulation of a provincial power grid in East China is given to analyze the impacts of different market trading electricity proportion on the generation cost and power shortage expectation of the whole system, and verify rationality and effectiveness of the proposed model.

Key words: electricity market, generation plan, Nash equilibrium, particle swarm optimization algorithm

张书盈, 励刚, 滕晓毕, 程基峰, 严正, 王晗. 计划与市场并存的日发电计划模型构建与分析[J]. 中国电力, 2022, 55(1): 151-158.

ZHANG Shuying, LI Gang, TENG Xiaobi, CHENG Jifeng, YAN Zheng, WANG Han. Modeling and Analysis of Daily Generation Schedule Considering the Coexistence of Planned Electricity and Market Trading Electricity[J]. Electric Power, 2022, 55(1): 151-158.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202009107

https://www.electricpower.com.cn/CN/Y2022/V55/I1/151

参考文献

[1] 张显, 史连军. 中国电力市场未来研究方向及关键技术[J]. 电力系统自动化, 2020, 44(16): 1–11
ZHANG Xian, SHI Lianjun. Future research areas and key technologies of electricity market in China[J]. Automation of Electric Power Systems, 2020, 44(16): 1–11
[2] 周鹏程, 孟诗语, 吴南南, 等. 计划与市场双重体制下电力市场运营态势指标体系[J]. 山东电力技术, 2019, 46(4): 1–7
ZHOU Pengcheng, MENG Shiyu, WU Nannan, et al. Electricity market operation situation index system under the dual system of planning and market[J]. Shandong Electric Power, 2019, 46(4): 1–7
[3] 丁一, 谢开, 庞博, 等. 中国特色、全国统一的电力市场关键问题研究(1): 国外市场启示、比对与建议[J]. 电网技术, 2020, 44(7): 2401–2410
DING Yi, XIE Kai, PANG Bo, et al. Key issues of national unified electricity market with Chinese characteristics(1): enlightenment, comparison and suggestions from foreign countries[J]. Power System Technology, 2020, 44(7): 2401–2410
[4] KLEMPERER P D, MEYER M A. Supply function equilibria in oligopoly under uncertainty[J]. Econometrica, 1989, 57(6): 1243.
[5] 姚星安, 曾智健, 杨威, 等. 广东电力市场结算机制设计与实践[J]. 电力系统保护与控制, 2020, 48(2): 76–85
YAO Xingan, ZENG Zhijian, YANG Wei, et al. Electricity market settlement mechanism design and practice in Guangdong[J]. Power System Protection and Control, 2020, 48(2): 76–85
[6] 张永明, 郭晨雨, 何英静, 等. 开放售电市场环境下考虑DG和ILR的配电网双层规划[J]. 电力科学与技术学报, 2020, 35(3): 107–113
ZHANG Yongming, GUO Chenyu, HE Yingjing, et al. Distribution network planning considering DG and ILR under the environment of power sales side liberalization[J]. Journal of Electric Power Science and Technology, 2020, 35(3): 107–113
[7] BALDICK R, HOGAN W. Capacity constrained supply function equilibrium models of electricity markets: stability, non-decreasing constraints, and function space iterations[EB/OL]. (2008-12-01) [2021-08-21].
[8] 莫东, 凌武能, 毛文照, 等. 电力现货市场年度基数电量分解方法研究[J]. 电力学报, 2019, 34(6): 598–603
MO Dong, LING Wuneng, MAO Wenzhao, et al. Study on decomposition method of annual basic electricity in power spot market[J]. Journal of Electric Power, 2019, 34(6): 598–603
[9] 赵书强, 胡利宁, 田捷夫, 等. 基于中长期风电光伏预测的多能源电力系统合约电量分解模型[J]. 电力自动化设备, 2019, 39(11): 13–19
ZHAO Shuqiang, HU Lining, TIAN Jiefu, et al. Contract power decomposition model of multi-energy power system based on mid-long term wind power and photovoltaic electricity forecasting[J]. Electric Power Automation Equipment, 2019, 39(11): 13–19
[10] 李道强, 龚建荣, 李忠憓, 等. 电力市场环境下的差价合约电量分解问题[J]. 电力科学与技术学报, 2020, 35(1): 40–49
LI Daoqiang, GONG Jianrong, LI Zhonghui, et al. Decomposition of an electrical energy contract for difference in electricity market environment[J]. Journal of Electric Power Science and Technology, 2020, 35(1): 40–49
[11] RUIZ C, CONEJO A J, SMEERS Y. Equilibria in an oligopolistic electricity pool with stepwise offer curves[J]. IEEE Transactions on Power Systems, 2012, 27(2): 752–761.
[12] HOBBS B F, METZLER C B, PANG J S. Strategic gaming analysis for electric power systems: an MPEC approach[J]. IEEE Transactions on Power Systems, 2000, 15(2): 638–645.
[13] 汪贤裕, 肖玉明. 博弈论及其应用[M]. 北京: 科学出版社, 2008.
[14] 刘雨梦, 陈皓勇, 黄龙, 等. 基于多群体协同进化的电力市场均衡模型[J]. 电力系统保护与控制, 2020, 48(10): 38–45
LIU Yumeng, CHEN Haoyong, HUANG Long, et al. Equilibrium model of electricity market based on multi-swarm co-evolution[J]. Power System Protection and Control, 2020, 48(10): 38–45
[15] 石帮松, 张靖, 李博文, 等. 多类型售电公司共存下竞价售电的市场均衡研究[J]. 电力系统保护与控制, 2018, 46(5): 62–67
SHI Bangsong, ZHANG Jing, LI Bowen, et al. Market equilibrium study on multiple types of electric power retailers bidding[J]. Power System Protection and Control, 2018, 46(5): 62–67
[16] 赵文会, 闫豪楠, 何威. 基于风火网非合作博弈的电力市场均衡模型[J]. 电网技术, 2018, 42(1): 103–111
ZHAO Wenhui, YAN Haonan, HE Wei. Equilibrium model of electricity market based on non-cooperative game of wind farms, thermal power plants and power grid company[J]. Power System Technology, 2018, 42(1): 103–111
[17] 杨彦, 张尧, 陈皓勇, 等. 考虑系统运行不确定性的电力市场均衡模型[J]. 电网技术, 2012, 36(7): 100–105
YANG Yan, ZHANG Yao, CHEN Haoyong, et al. An electricity market equilibrium model considering uncertainty in power system operation[J]. Power System Technology, 2012, 36(7): 100–105
[18] 程基峰, 贠靖洋, 严正, 等. 富余风电参与调峰权交易的电力市场均衡分析[J]. 电网技术, 2019, 43(8): 2702–2710
CHENG Jifeng, YUN Jingyang, YAN Zheng, et al. Equilibrium analysis of peak regulation right trading market between wind farms and thermal power plants considering deep peak regulation[J]. Power System Technology, 2019, 43(8): 2702–2710
[19] 周建中, 李清清, 李超顺, 等. 基于博弈论的发电侧竞价市场均衡特性分析[J]. 电力系统保护与控制, 2010, 38(24): 82–87
ZHOU Jianzhong, LI Qingqing, LI Chaoshun, et al. Analysis on equilibrium characteristics of supply side bidding market based on game theory[J]. Power System Protection and Control, 2010, 38(24): 82–87
[20] 贾雪枫, 李存斌. 考虑短期负荷影响的DeepESN电力市场实时电价预测研究[J]. 智慧电力, 2021, 49(1): 64–70
JIA Xuefeng, LI Cunbin. Real-time electricity price forecasting of electricity market using DeepESN considering short-term load impact[J]. Smart Power, 2021, 49(1): 64–70
[21] CAO Y W, WANG L Y, JIANG S G, et al. Optimal operation of cold-heat-electricity multi-energy collaborative system based on price demand response[J]. Global Energy Interconnection, 2020, 3(5): 430–441.
[22] 刘军, 王苗, 严清心, 等. 基于组合赋权和梯形云模型的发电商市场力评价[J]. 电力科学与技术学报, 2021, 36(2): 58–66
LIU Jun, WANG Miao, YAN Qingxin, et al. Market power evaluation of generators based on combination weighting and trapezoidal cloud model[J]. Journal of Electric Power Science and Technology, 2021, 36(2): 58–66
[23] GUO X J, QU Q, GUO X, et al. Economy supervision mode of electricity market and its incentive mechanism[J]. Global Energy Interconnection, 2020, 3(5): 504–510.
[24] 谢畅, 王蓓蓓, 赵盛楠, 等. 基于双层粒子群算法求解电力市场均衡[J]. 电网技术, 2018, 42(4): 1170–1177
XIE Chang, WANG Beibei, ZHAO Shengnan, et al. Equilibrium solution for electricity market based on bi-level particle swarm optimization algorithm[J]. Power System Technology, 2018, 42(4): 1170–1177
[25] 杨彦, 陈皓勇, 张尧, 等. 基于协同进化算法求解寡头电力市场均衡[J]. 电力系统自动化, 2009, 33(18): 42–46,115
YANG Yan, CHEN Haoyong, ZHANG Yao, et al. A coevolutionary approach to calculate equilibrium for oligopolistic electricity market[J]. Automation of Electric Power Systems, 2009, 33(18): 42–46,115
[26] 袁明飞, 赵凤展, 王树田, 等. 基于蒙特卡洛模拟的含风电-储能发电系统可靠性评估[J]. 电器与能效管理技术, 2020(5): 28–34
YUAN Mingfei, ZHAO Fengzhan, WANG Shutian, et al. Reliability evaluation of wind-storage power generation systems based on Monte Carlo simulation[J]. Electrical & Energy Management Technology, 2020(5): 28–34

计划与市场并存的日发电计划模型构建与分析

Modeling and Analysis of Daily Generation Schedule Considering the Coexistence of Planned Electricity and Market Trading Electricity

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

[1]	倪筹帷, 陈杨, 张雪松, 林达, 杜凯健, 陈健. 考虑安全性风险的电热氢系统优化配置方法[J]. 中国电力, 2024, 57(9): 124-135.
[2]	高政南, 姜楠, 陈启鑫, 徐江, 王海利, 辛力, 徐青贵. 德国电力市场能源转型建设及启示[J]. 中国电力, 2024, 57(6): 204-214.
[3]	李汶龙, 周云, 罗祾, 陈甜甜, 冯冬涵. 计及现货交易的电能量交易全环节用电碳责任分摊[J]. 中国电力, 2024, 57(5): 99-112.
[4]	谭虎, 王小亮, 徐亭亭, 赵珂, 宿连超, 张文玉, 辛征. 风光沼储交直流混合农村微电网经济技术优化[J]. 中国电力, 2024, 57(3): 27-33.
[5]	郭娟娟, 沈迪, 童朴, 闫琨, 张小凡, 何昉. 中国三代核电经济评价方法与参数优化[J]. 中国电力, 2024, 57(3): 206-212, 223.
[6]	高志远, 庄卫金, 耿建, 李峰, 薛必克, 杨晓雷, 白柯鞠. 基于经济人假设的负荷侧资源市场化调节作用机理分析[J]. 中国电力, 2024, 57(3): 213-223.
[7]	李超英, 檀勤良. 基于智能体建模的新型电力系统下火电企业市场交易策略[J]. 中国电力, 2024, 57(2): 212-225.
[8]	仪忠凯, 侯朗博, 徐英, 吴永峰, 李志民, 吴俊飞, 冯腾, 韩柳. 市场环境下灵活性资源虚拟电厂聚合调控关键技术综述[J]. 中国电力, 2024, 57(12): 82-96.
[9]	任景, 高敏, 程松, 张小东, 刘友波. 面向新能源不确定性的西北电力电量平衡机制[J]. 中国电力, 2023, 56(9): 66-78.
[10]	皮志勇, 朱益, 廖玄, 李振兴, 方豪, 吴沛. 智能变电站多信息融合建模的通信链路故障定位方法[J]. 中国电力, 2023, 56(8): 207-215.
[11]	薛贵元, 吴垠, 诸晓骏, 谈健, 明昊. 计及用能权配额约束的发电商竞价策略双层优化方法[J]. 中国电力, 2023, 56(5): 51-61.
[12]	张丽, 刘青雷, 张宏伟. 基于改进二进制粒子群算法的家庭负荷优化调度策略[J]. 中国电力, 2023, 56(5): 118-128.
[13]	于艾清, 丁丽青, 王育飞, 李豪. 基于故障邻接状态的配电网多故障抢修与优化策略[J]. 中国电力, 2023, 56(3): 64-76.
[14]	赵建立, 向佳霓, 汤卓凡, 漆磊, 艾芊, 王帝, 殷爽睿. 虚拟电厂在上海的实践探索与前景分析[J]. 中国电力, 2023, 56(2): 1-13.
[15]	陈璨, 王晶, 于宗民, 马原, 王乙, 范梁晨曦, 丁然, 李红权. 配电网自治单元规划研究综述与展望[J]. 中国电力, 2023, 56(12): 9-19.

模态框（Modal）标题

计划与市场并存的日发电计划模型构建与分析

Modeling and Analysis of Daily Generation Schedule Considering the Coexistence of Planned Electricity and Market Trading Electricity

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics