售电放开政策下发电商售电策略与交易谈判优化模型

doi:10.3969/j.issn.1000－7229.2017.03.017

摘要/Abstract

摘要： 在售电侧放开的政策背景下分析未来发售双方的主要交易模式，并以“多对一”交易模式为研究对象，以发电商效益最大化为目标，结合火电机组发电约束构建发电商利益优化模型。在此基础上利用平均对手法与静态贝叶斯纳什均衡理论建立发电商报价策略模型。算例结果显示，当合同交易电量达到发电商总出力的72.91%时，发电商利益达到极值，同时发电商对于售电商购电价预估值与对平均对手概率分布的推断对最后的报价和期望收益均产生影响。

关键词: , 电力改革, 电力市场, 交易谈判, 报价策略

Abstract: This paper analyses the main trading modes in the future between the generation side and the retail side under the policy background of releasing in the retail side. Taking the“multi-to-one” trading model as the object, and maximizing the benefits of the generators as the goal, this paper constructs an optimization model for the generation party under thermal power generating power constraints. Based on the model, this paper uses the average method and the static Bias Nash equilibrium theory to establish a pricing strategy model of generators. The simulation results show that when the contract volume reaches 72.91% of the total output of generators, the generators benefits will reach the maximum. Power generators pre-estimations to the price that electricity purchasers may come up and their deduction of the average probability distribution of competitors will influence both the final price and the expected revenue.

Key words: , electric power reform, electricity market, trading negotiation, bidding strategy

中图分类号:

TM 715

李欢欢，张晨，吴静，张予燮，谭忠富. 售电放开政策下发电商售电策略与交易谈判优化模型

[J]. 电力建设, 2017, 38(3): 123-.

LI Huanhuan, ZHANG Chen, WU Jing, ZHANG Yuxie, TAN Zhongfu. Electricity Sale Strategy and Trade Negotiation Optimization Model for Power Generator under Electricity Sale Liberalization Policy

[J]. Electric Power Construction, 2017, 38(3): 123-.

参考文献

［1］曾鸣. 能源互联网与售电市场放开［J］. 中国电力企业管理,2015(13):54-57.

［2］梁刚,王中荣,马占军,等. 基于售电侧放开的电力市场交易研究［J］. 管理观察,2016(31):32-35.

［3］张显, 王锡凡, 王建学,等. 发电商长期电能分配策略研究［J］. 中国电机工程学报, 2005, 25(1):6-12.

ZHANG Xian, WANG Xifan, WANG Jianxue，et.al.A long-term allocating strategy of power generators ［J］. Proceedings of the CSEE, 2005, 25(1):6-12.

［4］ELIA E, MAIORANO A, SONG Y H, et al. Novel methodology for simulation studies of strategic behavior of electricity producers［C］//Power Engineering Society Summer Meeting.Vancouver:IEEE，2000:2235-2241.

［5］刘敏,吴复立. 电力市场环境下发电商电能分配策略研究［J］. 中国电机工程学报,2008,28(25):111-117.

LIU Min, WU Fuli. Trading strategy of generation companies in electricity market ［J］.Proceedings of the CSEE, 2008,28(25):111-117.

［6］周洁,赵琛,张少华. 基于鲁棒优化的发电商电量分配策略［J］. 电力建设,2016,37(3):58-62.

ZHOU Jie, ZHAO Chen, ZHANG Shaohua. Electricity capacity allocation strategies of generation companies based on robust optimization ［J］. Electric Power Construction, 2016,37(3):58-62.

［7］赵亚楠. 基于IGDT理论的发电商电量分配策略研究［D］.上海：上海大学,2015.

ZHAO Yanan. Power producer electric quantity distribution based on IGDT theory ［D］.Shanghai: Shanghai University, 2015.

［8］潘俊涛,彭建春,孙芊,等. 基于前景理论的发电商电量分配策略［J］. 电网技术,2011,35(4):170-175.

PAN Juntao, PENG Jianchun, SUN Qian, et al. A prospect theory-based generation energy allocation strategy for gencos ［J］. Power System Technology, 2011,35 (4): 170-175.

［9］ZHENG Y, LI G, ZHOU M, et al. An integrated approach on allocating the congestion management cost under large consumers electricity direct purchase mode［C］//Electric Utility Deregulation and Restructuring and Power Technologies. Nanjing: IEEE,2008:539- 544.

［10］谭忠富, 李晓军, 郭联哲,等. 发电商向大用户直接供电的电价设计模型分析［J］. 现代电力, 2004, 21(1):86-89.

TAN Zhongfu,LI Xiaojun, GUO Lianzhe,et al. On pricing models for a generation company suppling electric energy to a big consumer ［J］. Modern Electric Power, 2004, 21(1):86-89.

［11］邹小燕, 王正波. 电力市场中关于直购电力价格的讨价还价博弈模型［J］. 管理工程学报, 2005, 19(4):96-99.

ZOU Xiaoyan , WANG Zhengbo. The bargain game model on electric power price in a bilateral electricity market ［J］. Journal of Industrial Engineering and Engineering Management, 2005, 19(4):96-99.

［12］陈其安, 杨秀苔. 基于博弈论的发电厂商竞价策略研究［J］. 系统工程学报, 2004, 19(2):121-127.

CHEN Qi’an, YANG Xiutai. Research on competing price strategies of power plants based on game theory ［J］. Journal of Systems Engineering, 2004, 19(2):121-127.

［13］PLAZAS M A, CONEJO A J, PRIETO F J. Multimarket optimal bidding for a power producer ［J］. IEEE Transactions on Power Systems, 2005, 20(4):2041-2050.

［14］王剑波,苏昭. 黑龙江省电力用户与发电企业直接交易策略研究［J］. 黑龙江科技信息,2016(28):286-288.

［15］LIU Y, WU F F. Generator bidding in oligopolistic electricity markets using optimal control: Fundamentals and application ［J］. IEEE Transactions on Power Systems, 2006, 21(3):1050-1061.

［16］HE Y. The study of bidding strategies of generators in electricity markets［D］. London: Brunel University, 2002.

［17］吴磊. 电力库模式发电侧竞价上网报价问题研究［D］.北京：北京科技大学,2016.

WU Lei.Research on power generation side bidding problem under power pool mode ［D］.Beijing: University of Science and Technology Beijing,2016.

［18］于金栋. 基于边际发电成本分析的火电厂竞价策略研究［D］.济南：山东大学,2014.

YU Jindong. Research on thermal power plant based on the marginal cost of power generation ［D］.Jinan: Shandong Univeristy, 2014.

［19］杨珊珊. 基于博弈论的我国发电企业竞价策略研究［D］.哈尔滨：哈尔滨理工大学,2014.

YANG Shanshan.Power generation enterprise bidding strategy based on game theory ［D］.Harbin: Harbin Institute of Technology, 2014.

［20］刘敏, 吴复立. 电力市场环境下发电商电能分配策略研究［J］. 中国电机工程学报, 2008, 28(25):111-117.

LIU Min,WU Fuli.Trading strategy of generation companies in electricity market［J］.Proceeclings of the CSEE,2008,28(25):111-117.

［21］张丽. 市场出清价规律分析与预测［D］.北京：华北电力大学, 2007.

ZHANG Li. Analysis and forecast on market clearing price law ［D］.Beijing: North China Electric Power University, 2007.

[1]	汤吉鸿, 章德, 丛凡超, 田国梁, 吴贵烘, 李宇骏, 禹海峰. 基于线性二次型最优控制的多端直流最优功率调制方案[J]. 电力建设, 2020, 41(8): 32-39.
[2]	赵洱岽, 王浩, 林弘杨. 现货市场中基于演化博弈的火电企业阶梯报价策略[J]. 电力建设, 2020, 41(8): 68-71.
[3]	安麒，王剑晓，李庚银，王宣元，刘蓁. 基于均衡理论的虚拟电厂市场参与模式及方法[J]. 电力建设, 2020, 41(6): 1-8.
[4]	赵晨，何宇俊，罗钢，龚超，赵越，张轩，陈启鑫. 基于泛在互联的虚拟电厂参与实时市场模型[J]. 电力建设, 2020, 41(6): 36-43.
[5]	宋建，束洪春，董俊，梁雨婷，李雨龙，杨博. 基于GM(1，1)与BP神经网络的综合负荷预测[J]. 电力建设, 2020, 41(5): 75-80.
[6]	祁兵，叶欣，李彬，陈宋宋，李源非，石坤. 考虑IEC标准的用户侧电力物联网体系架构研究[J]. 电力建设, 2020, 41(5): 92-99.
[7]	刘自发，王新月，于寒霄，高建宇，吴刚. 微电网与配电网的成本效益关系及交互电量定价方法[J]. 电力建设, 2020, 41(3): 39-46.
[8]	刘拥军，曹晓峻，胡朝阳，王珂，徐立中，高赐威. 数据网络参与多调峰辅助服务市场组合优化调度策略[J]. 电力建设, 2019, 40(9): 82-90.
[9]	王星华，刘升伟，陈豪君，彭显刚，周亚武. 考虑用户差异性的售电公司需求响应电价模型[J]. 电力建设, 2019, 40(9): 116-123.
[10]	钟永洁，谢东亮，孙永辉，翟苏巍，常福刚，张明理. 考虑能源子系统与储能的综合能源系统优化分析[J]. 电力建设, 2019, 40(8): 59-68.
[11]	朱誉，仪忠凯，陆秋瑜，杨银国，李博，许银亮. 基于典型场景集的虚拟电厂与配电网协同定价策略[J]. 电力建设, 2019, 40(6): 74-85.
[12]	齐世雄，王秀丽，张炜，吴雄，王高琴，史新红. 基于博弈论和改进PageRank的电力市场出清方式评价方法[J]. 电力建设, 2019, 40(5): 107-117.
[13]	高乾恒，黄帅飞，李二超，董治强，李潇逸. 市场环境下含氢储能的售电公司优化调度[J]. 电力建设, 2019, 40(4): 42-48.
[14]	杨军，林洋佳，陈杰军，李逸欣，詹祥澎. 未来城市共享电动汽车发展模式[J]. 电力建设, 2019, 40(4): 49-59.
[15]	江帆，杨洪耕. 基于选择性贝叶斯分类的非侵入式负荷识别方法[J]. 电力建设, 2019, 40(2): 94-.