首页> 外文会议>2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)论文集 >Optimal Purchasing Portfolio for Power Supplier with Options and Interruptible Load Based on Conditional Value-at-risk
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Optimal Purchasing Portfolio for Power Supplier with Options and Interruptible Load Based on Conditional Value-at-risk

机译:基于条件风险值的带期权和可中断负荷的电力供应商最佳采购组合

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Power suppliers are faced with the trade-off between benefit and risk when they purchase energy from several sub-markets under electricity market environments. With conditional value-at-risk (CVaR) as a measuring index for market risk, a purchasing model for power suppliers among the wholesale, forward, options and interruptible load (IL) markets, is proposed, in which the objective function is to maximize the portfolio expected revenues. The model can be solved by an improved genetic algorithm, and 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 the strike price of options, the IL compensation price and the risk evaded mentalities of suppliers have substantially effect on the portfolio allocation. As a consistency risk measurement tool, CVaR can be better applied in risk management of electricity markets.
机译:电力供应商在电力市场环境下从多个子市场购买能源时会面临利益与风险之间的权衡。以条件风险价值(CVaR)作为衡量市场风险的指标,提出了批发,远期,期权和可中断负荷(IL)市场中电力供应商的购买模型,其中目标函数是最大化投资组合的预期收入。该模型可以通过改进的遗传算法求解,并分析了期权和投资组合对购买组合的影响。数值算例结果表明,期权和投资组合可以有效降低投资组合的损失,期权的执行价格,投资组合的补偿价格和供应商规避风险的心态对投资组合的分配有很大影响。作为一致性风险度量工具,CVaR可以更好地应用于电力市场的风险管理。

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