Clearing Model of Regional Electricity Spot Market Considering Reserve Sharing

doi:10.12204/j.issn.1000-7229.2021.11.007

Abstract

Abstract:

Under the background of promoting our country’s new round of electric power system reform and building the national unified electricity market, in order to break down inter-provincial barriers and alleviate the power-shortage, abandoned water, wind curtailment and discarded light in some provinces of regional electricity market due to the lack of reserve capacity and the inverse distribution of energy and load, this paper introduces reserve sharing mechanism and coordinated optimization of tie-line, constructs a combined clearing model of energy and reserve for regional electricity spot market, including the security constraints of unit combination and security constraints of economic dispatch. Through combined clearing of energy and reserve for regional electricity spot market considering reserve sharing, the optimal allocation of power resources in a wider range is realized, and the economy and reliability of system operation are improved effectively. Two interconnected IEEE 30-node systems are used to simulate the electricity market transactions between two provinces in the region, and the correctness and effectiveness of the proposed model are verified.

Key words: regional electricity spot market, clearing model, reserve sharing, coordinated optimization of tie-line, combined clearing

CLC Number:

TM73

LIU Zheng, LEI Shaofeng, WANG Qingliang, LI Yunda, REN Hui, LU Jinling. Clearing Model of Regional Electricity Spot Market Considering Reserve Sharing[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(11): 63-71.

Figures/Tables 11

Table A1 Parameters of thermal units

Fig.1 Prediction of wind power output and loads

Fig.2 Unit commitment of provincial and regional electricity market

Fig.3 SCED of provincial electricity market

Fig.4 SCED of regional electricity market considering reserve sharing

Table 1 Wind curtailment in province A under the independent clearing of provincial electricity marketMW

Table 2 Loss of load in province B under the independent clearing of provincial electricity market MW

Table 3 Wind curtailment in province A under the coordinated clearing of regional electricity market considering reserve sharing MW

Fig.5 Cross-provincial electricity purchasing of regional electricity market

Fig.6 Reserve sharing of regional electricity market

Table 4 Comparison of optimization results of different clearing modes

References 20

[1]	夏清, 陈启鑫, 谢开, 等. 中国特色、全国统一的电力市场关键问题研究(2):我国跨区跨省电力交易市场的发展途径、交易品种与政策建议[J]. 电网技术, 2020, 44(8): 2801-2808.
	XIA Qing, CHEN Qixin, XIE Kai, et al. Key issues of national unified electricity market with Chinese characteristics(2): Development path, trading varieties and policy recommendations for inter-regional and inter-provincial electricity markets[J]. Power System Technology, 2020, 44(8): 2801-2808.
[2]	葛睿, 陈龙翔, 汤俊, 等. 跨区域省间可再生能源增量现货市场设计与实践[J]. 电力建设, 2019, 40(1): 11-18.
	GE Rui, CHEN Longxiang, TANG Jun, et al. Design and practice of cross-regional incremental spot market for renewable energy[J]. Electric Power Construction, 2019, 40(1): 11-18.
[3]	周华锋, 胡亚平, 聂涌泉, 等. 区域互联电网电能量与备用辅助服务联合优化模型研究[J]. 电网技术, 2020, 44(3): 991-1001.
	ZHOU Huafeng, HU Yaping, NIE Yongquan, et al. Cooptimization model of energy and reserve auxiliary service for regional interconnected power grid[J]. Power System Technology, 2020, 44(3): 991-1001.
[4]	曹宇峰, 陈启鑫, 夏清, 等. 基于风险预控的多区域电力网络能量-备用联合优化[J]. 电网技术, 2014, 38(8): 2155-2160.
	CAO Yufeng, CHEN Qixin, XIA Qing, et al. Energy-reserve cooptimization in multi-area power systems towards risk precaution target[J]. Power System Technology, 2014, 38(8): 2155-2160.
[5]	杨亚雄. 互联电网共享备用分区间分配策略研究[D]. 太原: 太原理工大学, 2017.
	YANG Yaxiong. Study on the shared spinning reserve capacity allocation strategy of the regional interconnected power system[D]. Taiyuan: Taiyuan University of Technology, 2017.
[6]	李姗. 含高比例风电互联系统跨区备用共享研究[D]. 武汉: 华中科技大学, 2019.
	LI Shan. Research on cross-regional reserve sharing in interconnected system with high wind power penetration[D]. Wuhan: Huazhong University of Science and Technology, 2019.
[7]	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.
[8]	葛睿, 陈龙翔, 王轶禹, 等. 中国电力市场建设路径优选及设计[J]. 电力系统自动化, 2017, 41(24): 10-15.
	GE Rui, CHEN Longxiang, WANG Yiyu, et al. Optimization and design of construction route for electricity market in China[J]. Automation of Electric Power Systems, 2017, 41(24): 10-15.
[9]	LIN J. Modeling and simulation of PJM and northeastern RTOs for interregional planning[C]// 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013: 1-5.
[10]	李竹, 庞博, 李国栋, 等. 欧洲统一电力市场建设及对中国电力市场模式的启示[J]. 电力系统自动化, 2017, 41(24): 2-9.
	LI Zhu, PANG Bo, LI Guodong, et al. Development of unified European electricity market and its implications for China[J]. Automation of Electric Power Systems, 2017, 41(24): 2-9.
[11]	DOMÍNGUEZ R, OGGIONI G, SMEERS Y. Reserve procurement and flexibility services in power systems with high renewable capacity: Effects of integration on different market designs[J]. International Journal of Electrical Power & Energy Systems, 2019, 113: 1014-1034. doi: 10.1016/j.ijepes.2019.05.064 URL
[12]	陈玮, 林言泰, 丁军策, 等. 国外区域电力市场对南方区域电力市场建设的启示[J]. 南方电网技术, 2018, 12(12): 3-8.
	CHEN Wei, LIN Yantai, DING Junce, et al. Enlightenment of foreign regional electricity market to the construction of southern regional power market of China[J]. Southern Power System Technology, 2018, 12(12): 3-8.
[13]	盛四清, 檀晓林, 李欢, 等. 含风电场的互联电力系统备用容量优化[J]. 电网技术, 2013, 37(11): 3067-3072.
	SHENG Siqing, TAN Xiaolin, LI Huan, et al. Reserve capacity optimization of interconnected power grid containing wind farms[J]. Power System Technology, 2013, 37(11): 3067-3072.
[14]	张学军, 王振. 含风储联合单元的电力系统两阶段日前调度模型[J]. 电测与仪表, 2019, 56(5): 57-62.
	ZHANG Xuejun, WANG Zhen. The two-stage day-ahead operation model of the power system with wind-storage combined unit[J]. Electrical Measurement & Instrumentation, 2019, 56(5): 57-62.
[15]	ZHOU M, WANG M, LI J F, et al. Multi-area generation-reserve joint dispatch approach considering wind power cross-regional accommodation[J]. CSEE Journal of Power and Energy Systems, 2017, 3(1): 74-83. doi: 10.17775/CSEEJPES.2017.0010 URL
[16]	郭立邦, 丁一, 包铭磊, 等. 两级电力市场环境下计及风险的省间交易商最优购电模型[J]. 电网技术, 2019, 43(8): 2726-2734.
	GUO Libang, DING Yi, BAO Minglei, et al. An optimal power purchase model of inter-provincial traders in two-level electricity market considering risk management[J]. Power System Technology, 2019, 43(8): 2726-2734.
[17]	吴楠. 电力市场环境下跨省区交易成本及交易模型分析研究[D]. 北京: 华北电力大学(北京), 2017.
	WU Nan. Analysis of inter provincial transaction cost and transaction model under the environment of power market[D]. Beijing: North China Electric Power University, 2017.
[18]	彭超逸, 顾慧杰, 朱文, 等. 交直流混联区域电网现货市场出清模型研究[J]. 电网技术, 2020, 44(1): 323-331.
	PENG Chaoyi, GU Huijie, ZHU Wen, et al. Study on spot market clearing model of regional power grid considering AC/DC hybrid connection[J]. Power System Technology, 2020, 44(1): 323-331.
[19]	燕伯峰, 潘婷, 李静立, 等. 基于供需双侧互动的随机机组组合模型及经济调度优化研究[J]. 电测与仪表, 2020, 57(5): 50-56.
	YAN Bofeng, PAN Ting, LI Jingli, et al. Study on economic dispatching optimization and stochastic unit combination model based on supply and demand bilateral interaction[J]. Electrical Measurement & Instrumentation, 2020, 57(5): 50-56.
[20]	汪超群, 韦化, 吴思缘. 计及风电不确定性的随机安全约束机组组合[J]. 电网技术, 2017, 41(5): 1419-1427.
	WANG Chaoqun, WEI Hua, WU Siyuan. Stochastic-security-constrained unit commitment considering uncertainty of wind power[J]. Power System Technology, 2017, 41(5): 1419-1427.