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基于改进GA的配电商多市场购电策略研究
作者姓名:王瑞庆  黄高峰  王弗雄  季文天
作者单位:安阳师范学院,河南 安阳 455000;安阳师范学院,河南 安阳 455000;海南软件职业技术学院,海南 琼海 517400;海南软件职业技术学院,海南 琼海 517400
基金项目:海南省教育厅科研项目(Hjkj2008-52)
摘    要:引入条件风险价值(conditional value at risk, CVaR)作为市场风险的度量因子,建立了以最大化期望收益为目标的配电商多市场购电决策模型,分析了期权和可中断负荷(interruptible load, IL)对购电组合的影响。算例结果表明:期权和IL能有效地降低配电商的购电损失,期权价格、IL补偿价格和配电商的风险厌恶态度对购电组合策略有显著影响,CVaR作为一致性的风险测量工具,可较好地应用于电力市场中的风险管理。

关 键 词:期权交易  可中断负荷  条件风险价值  遗传算法  电力市场

Research on Purchasing Strategies of Distribution Companies Based on Improved GA
Authors:WANG Rui-qing  HUANG Gao-feng  WANG Fu-xiong and JI Wen-tian
Abstract:With conditional value at risk (CVaR) as a measuring index for market risk, a purchasing model for distribution companies (Discos) among several sub-markets is presented, in which the object function is to maximize the expected benefit of Discos. The impacts of options and IL on purchasing portfolio are analyzed. The results of numerical examples show that options and IL can effectively lower portfolio loss, and strike price of options, IL compensation price and risk evaded mentalities of Discos have explicit effect on the portfolio allocation. As a consistency risk measuring tool, CVaR can be better applied to risk management in electricity markets.
Keywords:options trading  interruptible load  conditional value at risk  genetic algorithm  electricity market
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