Optimal Analysis and Aided Decision-making Method for Power Purchase and Sales Strategy Based on Volume and Price Structure

doi:10.11985/2020.02.013

Journal of Electrical Engineering ›› 2020, Vol. 15 ›› Issue (2): 92-97.doi: 10.11985/2020.02.013

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Optimal Analysis and Aided Decision-making Method for Power Purchase and Sales Strategy Based on Volume and Price Structure

LI Dan¹(),YU Le¹,SHI Lei¹,ZHANG Fang³,XIE Xu¹,CAO Mengtao²(),LI Zhida³,ZHANG Yizhi³

1. North China Branch of State Grid Corporation of China, Beijing 100053 China;
2. Beijing Yupont Electric Power Technology Co., Ltd., Beijing 100029 China;
3. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044 China

Received:2019-11-25 Online:2020-06-25 Published:2020-07-31
Contact: CAO Mengtao E-mail:lidan@nc.sgcc.com.cn;caomengtao@yupont.com

Abstract

Abstract:

Purchasing and selling electricity is the core business of power grid companies. With the deepening of the reform of transmission and distribution electricity prices, and the continuous reform of the multi-dimensional lean management system, grid companies need to optimize their strategies for purchasing and selling electricity, promote the optimization of power resources, and improve their operations level. Based on the research on power purchase and sales strategies of power grid enterprises, an optimization method for power purchase and sales based on volume and price structure is proposed. The method aims at reducing the overall average power purchase price and increasing the overall average power sales price. The distribution and influence of power purchase costs and power sales revenue among different components of electrical energy are quantitatively analyzed, visualization tools based on the proposed method are developed, and clear decision-making information for optimizing power purchase and sales strategies are provided.

Key words: Volume and price structure, purchase and sales strategy, power purchase average price, power sale average price

CLC Number:

TM732

LI Dan, YU Le, SHI Lei, ZHANG Fang, XIE Xu, CAO Mengtao, LI Zhida, ZHANG Yizhi. Optimal Analysis and Aided Decision-making Method for Power Purchase and Sales Strategy Based on Volume and Price Structure[J]. Journal of Electrical Engineering, 2020, 15(2): 92-97.

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References 10

[1]	蒋雪松. 售电公司购售电策略研究[D]. 镇江:江苏大学, 2018.
[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]	雷霞, 刘俊勇, 党晓强. 配电市场购售电优化模型研究综述[J]. 电力系统保护与控制, 2010,38(2):136-145.
	Lei Xia, Liu Junyong, Dang Xiaoqiang. Review of optimal models of purchase and sale in distribution electricity market[J]. Power System Protection and Control, 2010,38(2):136-145.
[4]	王剑辉. 电力市场中购电风险模型分析[J]. 电网技术, 2005,29(9):46-49.
	Wang Jianhui. Analysis on risk model of power purchasing in electricity markets[J]. Power System Tech- nology, 2005,29(9):46-49.
[5]	雷霞, 刘俊勇, 都亮. 电力零售市场中分时零售电价的确定[J]. 电力系统及其自动化学报, 2008,20(1):28-32.
	Lei Xia, Liu Junyong, Du Liang. Determination of time- of-use retail price in the retail market[J]. Proceedings of CSU-EPSA, 2008,20(1):28-32.
[6]	Zhou Ming, Li Gengyin, Nie Yanli, et al. Risk manage- ment on long-term electricity purchase allocation in China power markets[C]// 2005 International Conference on Power Electronics and Drives Systems,Kuala Lumpur, 2005:909-914.
[7]	Gnago F H, Alemany J, Lin J. Impact of demand response resources on unit commitment and dispatch in a day- ahead electricity market[J]. International Journal of Electrical Power & Energy Systems, 2015,68(68):142-149.
[8]	Yang I, Callaway D S, Tomlin C J. Direct load control for electricity market risk management via risk-limiting dynamic contracts[C]// Communication,Control,and Computing. IEEE, 2015:1058-1063.
[9]	訾振宁, 何永君, 赵东元, 等. 新一代电力系统灵活柔性特征研究[J]. 电气工程学报, 2019,14(3):1-8.
	Zi Zhenning, He Yongjun, Zhao Dongyuan, et al. Research on flexibility of new generation power system[J]. Journal of Electrical Engineering, 2019,14(3):1-8.
[10]	舒畅, 钟海旺, 夏清. 兼顾效率与公平的用电市场竞价机制研究[J]. 电网技术, 2014,38(3):681-686.
	Shu Chang, Zhong Haiwang, Xia Qing. A design of electricity market bidding mechanism considering effici- ency and fairness[J]. Power System Technology, 2014,38(3):681-686.

Optimal Analysis and Aided Decision-making Method for Power Purchase and Sales Strategy Based on Volume and Price Structure

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