Research on Response Behavior Model of Trading Entities Considering the Marketization Environment of Distributed Generation
Zhang Di1,2, Miao Shihong1,2, Zhou Ning3, Tu Qingyu1,2, Li Yaowang1,2
1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China; 2. Hubei Electric Power Security and High Efficiency Key Laboratory Huazhong University of Science and Technology Wuhan 430074 China; 3. State Grid Henan Electric Power Company Electric Power Research Institute Zhengzhou 450052 China
Abstract With the deepening of the market-oriented trading policy of distributed generation, the positioning and behavior patterns of various trading entities in the market urgently need to be further clarified. In response to this critical demand, this paper focuses on the behavioral patterns of participating entities in the distributed power generation market environment. Based on the full consideration of actual policy restrictions and access specifications, a response behavior model is established for each transaction subject in a distributed power generation market environment. The Karush-Kuhn-Tucker (KKT) conditional transformation method is used to transform the original model into a bi-level programming model with a single lower-level programming problem, and the multi-objective evolutionary algorithm is used to solve the model. The model is simulated based on the actual distribution network system of a township. The simulation results verify the validity of the model. The research in this paper lays a theoretical foundation for the further development of distributed power generation market-oriented transactions.
Zhang Di,Miao Shihong,Zhou Ning等. Research on Response Behavior Model of Trading Entities Considering the Marketization Environment of Distributed Generation[J]. Transactions of China Electrotechnical Society, 2020, 35(15): 3327-3340.
[1] 范士雄, 蒲天骄, 刘广一, 等. 主动配电网中分布式发电系统接入技术及其进展[J]. 电工技术学报, 2016, 31(增刊2): 92-101. Fan Shixiong, Pu Tianjiao, Liu Guangyi, et al.Technologies and its trends of grid integration of distributed generation in active distribution network[J]. Transactions of China Electrotechnical Society, 2016, 31(增刊2): 92-101. [2] 杨晓东, 张有兵, 蒋杨昌, 等. 微电网下考虑分布式电源消纳的电动汽车互动响应控制策略[J]. 电工技术学报, 2018, 33(2): 390-400. Yang Xiaodong, Zhang Youbing, Jiang Yangchang, et al.Renewable energy accommodation-based strategy for electric vehicle considering dynamic interaction in microgrid[J]. Transactions of China Electrotechnical Society, 2018, 33(2): 390-400. [3] 颜湘武, 徐韵, 李若瑾, 等. 基于模型预测控制含可再生分布式电源参与调控的配电网多时间尺度无功动态优化[J]. 电工技术学报, 2019, 34(10): 2022-2037. Yan Xiangwu, Xu Yun, Li Ruojin, et al.Multi-time scale reactive power optimization of distribution grid based on model predictive control and including RDG regulation[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2022-2037. [4] 盛万兴, 吴鸣, 季宇, 等. 分布式可再生能源发电集群并网消纳关键技术及工程实践[J]. 中国电机工程学报, 2019, 39(8): 2175-2186. Sheng Wanxing, Wu Ming, Ji Yu, et al.Key techniques and engineering practice of distributed renewable generation clusters integration[J]. Proceeding of the CSEE, 2019, 39(8): 2175-2186. [5] 国家能源局. 国家能源局新能源司负责人就《关于开展分布式发电市场化交易试点的通知》答记者问 [EB/OL].北京: 国家能源局, 2017[2019-07-04]http://www.nea.gov.cn/2017-12/27/c_136855153.htm. [6] 国家发改委办公厅, 国家能源局综合司. 关于公布2019年第一批风电、光伏发电平价上网项目的通知(发改办能源[2019]594号)[Z]. 2019. [7] 国家发改委, 国家能源局. 关于开展分布式发电市场化交易试点的通知(发改能源[2017]1901号)[Z]. 2017. [8] 林俐, 许冰倩, 王皓怀. 典型分布式发电市场化交易机制分析与建议[J]. 电力系统自动化, 2019, 43(4): 1-8. Lin Li, Xu Bingqian, Wang Haohuai.Analysis and recommendations of typical market-based distributed generation trading mechanisms[J]. Automation of Electric Power Systems, 2019, 43(4): 1-8. [9] Liu Shiyu, Bie Zhaohong, Liu Fan, et al.Policy implication on distributed generation PV trading in China[J]. Energy Procedia, 2019, 159: 436-441. [10] 张迪, 苗世洪, 赵健, 等. 分布式发电市场化环境下扶贫光伏布点定容双层优化模型研究[J]. 电工技术学报, 2019, 34(10): 1999-2010. Zhang Di, Miao Shihong, Zhao Jian, et al.A bi-level locating and sizing optimal model for poverty slleviation PVs considering the marketization environment of distributed generation[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 1999-2010. [11] 李滨, 梁宇帆, 祝靖, 等. 一种分布式光伏选线定容的二阶锥规划方法[J]. 电力系统保护与控制, 2018, 46(10): 113-122. Li Bin, Liang Yufan, Zhu Jing, et al.A second-order cone programming method of feeder-selecting and sizing for distributed photovoltaic[J]. Power System Protection and Control, 2018, 46(10): 113-122. [12] 韩晓娟, 王丽娜, 高僮, 等. 基于成本和效益分析的并网光储微网系统电源规划[J]. 电工技术学报, 2016, 31(14): 31-39. Han Xiaojuan, Wang Lina, Gao Tong, et al.Generation planning of grid-connected micro-grid system with PV and batteries storage system based on cost and benefit analysis[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 31-39. [13] Jin Qiang, Yang Weihong, Kong Xiangyu.Research on microgrid operation control strategy under the new power reform[C]//Proceedings of the 2018 International Conference on Robotics, Control and Automation Engineering, Beijing, 2018: 40-44. [14] 李力行, 苗世洪, 孙丹丹, 等. 多利益主体参与下主动配电网完全信息动态博弈行为[J]. 电工技术学报, 2018, 33(15): 3499-3509. Li Lixing, Miao Shihong, Sun Dandan, et al.Dynamic games of complete information in active distribution network with multi-stakeholder participation[J]. Transactions of China Electrotechnical Society, 2018, 33(15): 3499-3509. [15] 刘念, 赵璟, 王杰, 等. 基于合作博弈论的光伏微电网群交易模型[J]. 电工技术学报, 2018, 33(8): 1903-1910. Liu Nian, Zhao Jing, Wang Jie, et al.A trading model of PV microgrid cluster based on cooperative game theory[J]. Transactions of China Electrotechnical Society, 2018, 33(8): 1903-1910. [16] 高赐威, 童格格. 区块链技术在分布式发电市场化交易中的应用分析[J]. 电力需求侧管理, 2018, 20(4): 1-4. Gao Ciwei, Tong Gege.Application analysis of blockchain technology in market based transaction of distributed generation[J]. Power Demand Side Management, 2018, 20(4): 1-4. [17] 王蓓蓓, 李雅超, 赵盛楠, 等. 基于区块链的分布式能源交易关键技术思考[J]. 电力系统自动化, 2019, 43(14): 53-64. Wang Beibei, Li Yachao, Zhao Shengnan, et al.Key technologies on blockchain based distributed energy transaction[J]. Automation of Electric Power Systems, 2019, 43(14): 53-64. [18] 国家能源局南方监管局. 广东省分布式发电市场化交易试点规则大纲(征求意见稿)[EB/OL]. 广东: 国家能源局南方监管局, 2018[2019-07-04] http://www.eserexpo.com/?show-823-2.html. [19] 国家能源局江苏监管办公室. 江苏省分布式发电市场化交易规则(征求意见稿)[EB/OL]. 江苏: 国家能源局江苏监管办公室, 2018[2019-07-04]ttps://wenku.baidu.com/view/0f09938b5122aaea998fcc22bcd126fff6055d40.html/. [20] 国家电网公司. 关于印发《分布式电源接入配电网设计规范》等4项标准的通知 (国家电网企管[2014]365号)[Z]. 2014. [21] 国家发改委. 关于印发《可再生能源发电全额保障性收购管理办法》的通知. (发改能源[2016]625号)[Z]. 2016. [22] 胡宗国. 多下层双层线性规划的若干模型研究[D]. 青岛: 山东科技大学, 2009. [23] Boyd S, Vandenberghe L.Convex optimization[M]. Cambridge: Cambridge University Press, 2004. [24] 黄辉, 吴正, 邹安安, 等. 基于遗传算法的汽车EPS电动助力转向电动机多目标优化[J]. 电气技术, 2019, 20(2): 48-52. Huang Hui, Wu Zheng, Zou Anan, et al.Multi-objective optimization of electric power steering motor based on genetic algorithm[J]. Electrical Engineering, 2019, 20(2): 48-52. [25] Zhang Qingfu, Li Hui.MOEA/D: a multiobjective rvolutionary slgorithm based on decomposition[J]. IEEE Transactions on Evolutionary Computation, 2008, 11(6): 712-731. [26] 民权县人民政府.河南省民权县光伏扶贫实施方案[Z]. 2017. [27] 河南省发改委. 关于合理调整电价结构有关事项的通知(豫发改价管[2017]707号)[Z]. 2017.
2020, Vol. 35 
