【论文推荐】华北电力大学梁吉等：考虑多弹性资源调峰成本的可再生能源开发协同优化模型

文章导读

可再生能源，主要是风能和光伏发电，被认为是未来的发电方式。新能源发展的主要制约因素是电力系统资源监管灵活性有限，导致消费能力不足。因此需要考虑调峰灵活的资源成本以及区域可再生能源的合理协调开发和运行优化。本研究考虑了电力系统综合成本，综合分析电力系统各种弹性调节资源潜力及其综合调峰成本，结合可再生能源出力特点，建立可再生能源发展布局配置分析方法。为优化各种灵活的资源利用方式，结合不同电源的上网电价和运行成本，建立了一种从整个电力系统角度出发的调峰成本估算方法。提出了以最低调峰成本为目标，满足运行、安全、环保约束的电力系统运行协同优化模型。最后以甘肃省某地区为例进行详细的分析计算，证明该模型具有最优的效果。该模型可为区域可再生能源开发布局配置和系统优化运行提供分析方法。

Collaborative optimization model of renewable energy development considering peak shaving costs of various flexibility resources

考虑多弹性资源调峰成本的可再生能源开发协同优化模型

Ji Liang¹, Xingang Zhao^1，2,Shangdong Yang³

(1.School of Economics and Management, North China Electric Power University, Changping District, Beijing 102206, P.R. China 2.Beijing Key Laboratory of Renewable energy and Low-Carbon Development (North China ElectricScan for more details Power University), Changping District, Beijing 102206, P.R. China 3.State Grid Talents Exchange and Service Center Company Limited, Beijing 100761, P.R. China)

Abstract

China has set carbon emission goals for 2030 and 2060. Renewable energy sources, primarily wind and photovoltaic power, are being considered as the future of power generation. The major limitation to the development of new energies is the limited flexibility of regulations on power system resources, resulting in insufficient consumption capacity. Thus, the flexible resource costs for peak shaving as well as the reasonable coordinated development and operation optimization of regional renewable energy need to be considered. In this study, a renewable energy development layout configuration analysis method was established by considering the composite cost of a power system, comprehensively analyzing the potential of various flexibility regulation resources for the power system and its composite peak shaving cost, and combining renewable energy output characteristics, load forecasting, grid development, and other factors. For the optimization of various flexible resource utilization methods, a peak shaving cost estimation method from the perspective of the entire power system was established by combining the on-grid electricity prices and operating costs of different power sources. A collaborative optimization model of power system operation that aims at the lowest peak shaving cost and satisfies the constraints of operation, safety, and environmental protection was proposed. Finally, a certain area of Gansu Province was used as an example to perform detailed analysis and calculation, which demonstrated that the model has an optimal effect. This model can provide an analysis method for regional renewable energy development layout configurations and system optimization operations.

Keywords

Renewable Energy, Peak Shaving Cost, Collaborative Optimization Model.

Fig.1 Relationship between renewable energy plant and the adjusting capacity in the power system based on optimization

Fig.2Cost of the adjusting capacity in the power system with various renewable energy plants

Fig.3Price of the adjusting capacity in the power system with various renewable energy plants

本文引文信息

Liang J, Zhao X, Yang S (2021) Collaborative optimization model of renewable energy development considering peak shaving costs of various flexibility resources. Global Energy Interconnection, 4(4): 394-404

梁吉，赵新刚，杨尚东 (2021) 考虑多弹性资源调峰成本的可再生能源开发协同优化模型. 全球能源互联网（英文），4(4): 394-404

Biographies

Ji Liang

Ji Liang (1972), Male, Ph.D., Senior Engineer. His research interests include power markets, economic dispatching, and power dispatching operation management.

Xingang Zhao

Xingang Zhao (1971), Male, Ph.D., Professor, Doctoral Supervisor. His research interests include renewable energy industry theory and policy.

Shangdong Yang

Shangdong Yang (1980), Male, Ph.D., Senior Engineer. His research interests include power markerts, economic dispatching, strategy and plan of power company management.

编辑：王彦博

审核：王伟

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Collaborative optimization model of renewable energy development considering peak shaving costs of various flexibility resources

【论文推荐】华北电力大学 梁吉等：考虑多弹性资源调峰成本的可再生能源开发协同优化模型

郑重声明

【论文推荐】华北电力大学梁吉等：考虑多弹性资源调峰成本的可再生能源开发协同优化模型