采用混合DE-PSO技术的基于SBP的CEM最优电力交易

Ramachandra Agrawal, Priyadarsini Pradhan, Prasantini Samal
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引用次数: 0

摘要

从提供商的角度考虑在现场广告条件下的要约动态问题。动态问题被描述为一个马尔可夫决策过程——一种离散随机改进技术。所有不同的提供者都通过其提供参数和相关概率来显示。制定一个精确的策略来确定变化的概率和奖励。一个改进的市场清算框架的使用也被记住。一个无偏见的裁判长被接受,理想的技术是决定在排列的天际线上放大正常的奖励。再现案例被用来描述所提出的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SBP Based Optimal Power Trading in CEM adopting Hybrid DE-PSO Technique
The offering dynamic issue is contemplated from a provider's perspective in a spot advertise condition. The dynamic issue is figured as a Markov Decision Process - a discrete stochastic improvement technique. All different providers are displayed by their offering parameters with correlating probabilities. A precise strategy is created to ascertain change probabilities and prizes. An improved market clearing framework is additionally remembered for the usage. A hazard unbiased chief is accepted, the ideal technique is determined to amplify the normal award over an arranging skyline. Reenactment cases are utilized to delineate the proposed technique.
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