中长期交易机制下售电公司购电策略优化

doi:10.11930/j.issn.1004-9649.201805069

中国电力 ›› 2019, Vol. 52 ›› Issue (9): 140-147.DOI: 10.11930/j.issn.1004-9649.201805069

中长期交易机制下售电公司购电策略优化

贾晨^1,2, 杜欣慧¹

1. 太原理工大学电气与动力工程学院, 山西太原 030024;
2. 国网山西省电力公司太原供电公司, 山西太原 030012

收稿日期:2018-05-12 修回日期:2018-08-31 出版日期:2019-09-05 发布日期:2019-09-19
通讯作者: 杜欣慧(1965-),女,通信作者,博士,教授,从事电力市场运行与控制研究,E-mail:duxinhui211@163.com
作者简介:贾晨(1993-),女,硕士研究生,从事电力市场研究,E-mail:jc0517s@163.com

Optimization of Electricity Purchasing Strategy for Electricity Retailers under the Medium and Long-Term Trading Mechanism

JIA Chen^1,2, DU Xinhui¹

1. College of Electrical & Power Engineering, Taiyuan University of Technology, Taiyuan 030024, China;
2. State Grid Taiyuan Power Supply Company, Taiyuan 030012, China

Received:2018-05-12 Revised:2018-08-31 Online:2019-09-05 Published:2019-09-19

摘要/Abstract

摘要： 随着电力体制改革的不断推进，售电公司作为新的市场主体，准确把握市场机遇，明确市场交易策略尤为重要。为此，立足于中长期电力交易机制，全面考虑多样化市场交易品种，引入合同转让交易和偏差电量考核作为市场化电力电量平衡机制，建立售电公司购电策略优化模型，以售电公司收益最大化为目标，采用混合自适应细菌觅食优化的改进粒子群算法（ABFO-PSO）进行模型求解，最后通过算例分析，验证所建模型和方法的有效性；该研究可为售电公司参与市场竞争提供参考。

关键词: 电力市场, 售电公司, 中长期交易, 购电策略, 粒子群算法

Abstract: With the continuous advancement of power system reform, as a new market entity, it is particularly important for electricity retailers to grasp the business opportunities accurately and understand market trading strategies clearly. Therefore, based on the medium-term and long-term electricity trading mechanism, by taking full account of the diversity of power market and trade, this paper introduces the contract transfer transaction and the energy deviation penalty assessment as the market power balance mechanism, then establishes the optimization decision model of electricity purchasing strategies for electricity retailers. Aiming at the maximization of the profit, a hybrid adaptive bacterial foraging method, i.e., particle swarm optimization algorithm (ABFO-PSO) is adopted to solve the problem. Finally, the validity of the model and method is verified through case studies. The study can provide the reference for electricity retailers to participate in market competition.

Key words: electricity market, electricity retailers, medium and long-term electricity transaction, electricity purchasing strategy, particle swarm optimization

中图分类号:

TM73

贾晨, 杜欣慧. 中长期交易机制下售电公司购电策略优化[J]. 中国电力, 2019, 52(9): 140-147.

JIA Chen, DU Xinhui. Optimization of Electricity Purchasing Strategy for Electricity Retailers under the Medium and Long-Term Trading Mechanism[J]. Electric Power, 2019, 52(9): 140-147.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201805069

https://www.electricpower.com.cn/CN/Y2019/V52/I9/140

参考文献

[1] 李学农, 袁汉杰, 王维超. 基于负荷聚类的中长期电力交易设想[J]. 电网与清洁能源, 2017, 33(12):77-82
LI Xuenong, YUAN Hanjie, WANG Weichao. Assumption of medium and long-term electricity transaction based on user load clustering method[J]. Power System and Clean Energy, 2017, 33(12):77-82
[2] 胡晨, 杜松怀, 苏娟, 等. 新电改背景下我国售电公司的购售电途径与经营模式探讨[J]. 电网技术, 2016, 40(11):3293-3299
HU Chen, DU Songhuai, SU Juan, et al. Preliminary research of trading approach and management modes of Chinese electricity retail companies under new electricity market reform[J]. Power System Technology, 2016, 40(11):3293-3299
[3] ALGARNI A A S, BHATTACHARYA K. A generic operations framework for discos in retail electricity markets[J]. IEEE Transactions on Power Systems, 2009, 24(1):356-367.
[4] WEI W, LIU F, MEI S. Energy pricing and dispatch for smart grid retailers under demand response and market price uncertainty[J]. IEEE Transactions on Smart Grid, 2017, 6(3):1364-1374.
[5] 罗琴, 宋依群, 徐剑, 等. 基于AHP-Logit模型的竞争性售电公司决策研究[J]. 华东电力, 2013, 41(11):2373-2377
LUO Qin, SONG Yiqun, XU Jian, et al. An AHP-Logit based decision-making scheme for competitive electricity retailer[J]. East China Electric Power, 2013, 41(11):2373-2377
[6] HATAMI A R, SEIFI H, SHEIKH-EL-ESLAMI M K. Optimal selling price and energy procurement strategies for a retailer in an electricity market[J]. Electric Power Systems Research, 2009, 79(1):246-254.
[7] 邹鹏, 李春晖, 郭静, 等. 考虑可中断负荷的配售电公司最优购售电策略[J]. 南方电网技术, 2017, 11(2):71-77
ZOU Peng, LI Chunhui, GUO Jing, et al. Optimal marketing strategy of distribution and retail companies considering interruptible load[J]. Southern Power System Technology, 2017, 11(2):71-77
[8] BALRAM P, LE A T, TJERNBERG L B. Stochastic programming based model of an electricity retailer considering uncertainty associated with electric vehicle charging[C]//European Energy Market. IEEE, 2013:948−951.
[9] 杨萌, 艾欣, 唐亮, 等. 计及风险规避的售电公司平衡市场优化交易策略研究[J]. 电网技术, 2016, 40(11):3300-3308
YANG Meng, AI Xin, TANG Liang, et al. Optimal trading strategy in balancing market for electricity retailer considering risk aversion[J]. Power System Technology, 2016, 40(11):3300-3308
[10] 陈玮, 梁博淼, 蒙文川, 等. 计及负荷和电价不确定性的电力零售公司购电组合优化[J]. 电力建设, 2016, 37(7):54-61
CHEN Wei, LIANG Bomiao, MENG Wenchuan, et al. Optimal portfolio strategies of purchasing electricity for electricity retail companies considering load and electricity price uncertainties[J]. Electric Power Construction, 2016, 37(7):54-61
[11] 国家发展改革委, 国家能源局. 电力中长期交易基本规则(暂行)(发改能源[2016]2784号)[A].2016.
[12] 谷峰. 电力市场顶层设计与交易现实的博弈妥协——解读电力中长期交易基本规则[J]. 中国电力企业管理, 2017(1):32-35
GU Feng. The top of the electricity market design and trading reality of the game and compromise-interpreting the basic rules of medium and long term transactions[J]. China Power Enterprise Management, 2017(1):32-35
[13] 刘妍, 谭建成. 南方区域大用户参与电力市场交易的现状及展望[J]. 南方电网技术, 2017, 11(11):68-74
LIU Yan, TAN Jiancheng. Present situation and prospect of large consumers participation in power market transaction in southern region[J]. Southern Power System Technology, 2017, 11(11):68-74
[14] 郭曼兰, 陈皓勇, 张聪, 等. 偏差电量考核机制下售电公司的最优经营策略[J]. 电力系统自动化, 2017, 41(20):17-25
GUO Manlan, CHEN Haoyong, ZHANG Cong, et al. Optimal marketing strategy of retailers under energy deviation penalty[J]. Automation of Electric Power Systems, 2017, 41(20):17-25
[15] 山西省人民政府办公厅. 山西省电力中长期交易规则(暂行)[A]. 2017.
[16] DASGUPTA S, DAS S, ABRAHAM A, et al. Adaptive computational chemotaxis in bacterial foraging optimization:an analysis[J]. IEEE Transactions on Evolutionary Computation, 2009, 13(4):919-941.
[17] 杨萍, 孙延明, 刘小龙, 等. 基于细菌觅食趋化算子的PSO算法[J]. 计算机应用研究, 2011, 28(10):3640-3642
YANG Ping, SUN Yanming, LIU Xiaolong, et al. Particle swarm optimization based on chemotaxis operation of bacterial foraging algorithm[J]. Application Research of Computers, 2011, 28(10):3640-3642
[18] 周明, 聂艳丽, 李庚银, 等. 电力市场下长期购电方案及风险评估[J]. 中国电机工程学报, 2006, 26(6):116-122
ZHOU Ming, NIE Yanli, LI Gengyin, et al. Long-term electricity purchasing scheme and risk assessment in power markets[J]. Proceedings of the CSEE, 2006, 26(6):116-122

中长期交易机制下售电公司购电策略优化

Optimization of Electricity Purchasing Strategy for Electricity Retailers under the Medium and Long-Term Trading Mechanism

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]	陈曦, 陈万露, 田洪莉, 林健怡, 江天炎, 毕茂强. 售电公司串谋定价行为随机演化博弈分析[J]. 中国电力, 2023, 56(9): 27-34,133.
[10]	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.
[11]	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.
[12]	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.
[13]	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.
[14]	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.
[15]	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.

模态框（Modal）标题

中长期交易机制下售电公司购电策略优化

Optimization of Electricity Purchasing Strategy for Electricity Retailers under the Medium and Long-Term Trading Mechanism

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