供需互动分布式发电系统收益-风险组合优化建模及其可靠性分析

doi:10.19595/j.cnki.1000-6753.tces.181261

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Abstract Output uncertainties of the wind power, photovoltaic and other renewable energy sources, load and the market price will lead to the risk of profit of the distributed generation system. The reasonable management of the distribution of multiple resources in the energy and reserve market can quantify the risk of system operation and maximize the profit distributed system operator (DSO). In this paper, the demand response is used as a flexible resource to participate in the optimization of the system, with the goal of maximizing the revenue of the system, and using the worst-case conditional value-at-risk (WCVaR) as a risk measurement index, and a portfolio optimization model based on the rational theory of investment group is established, meanwhile, to ensure the reliability of the system operation, the expected outage loss is incorporated into the model as a reliability evaluation index. On this basis, the effects of risk preference and values of lost load (VOLL) on system operating income, low income risk, reserve level and reliability are discussed. Taking the improved CIGRE16 nodes system as an example, the scenario technology is used to simulate the uncertainty, and the example results shows that the benefit-risk combination model considering demand response can realize economic and safe operation with the premise of reliability level in current market conditions.

Key words： Distributed generation system supply and demand interactive risk management worst-case conditional value-at-risk(WCVaR) reliability

Received: 26 July 2018 Published: 12 February 2020

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TM734

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	Zhang Hong
	Hou Ning
	Ge Dechu
	Yong Tianze
	Chen Gang

Cite this article:

Zhang Hong,Hou Ning,Ge Dechu等. Modeling and Reliability Analysis of Benefit-Risk Portfolio Optimization for Supply and Demand Interactive Distributed Generation System[J]. Transactions of China Electrotechnical Society, 2020, 35(3): 623-635.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181261 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I3/623

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