Medium-term operation strategy for a grid-connected microgrid via minimax regret optimization

Zhaohao Ding, Lizi Zhang, Weijen Lee
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引用次数: 6

Abstract

With the implementation of distributed generations, microgrid has become an important entity in the modern power systems. A grid-connected microgrid can participate in multiple electricity markets with different time scale to procure energy and self-schedule its internal generation resources to serve its demand. In a medium-term operation horizon (weekly, monthly or longer time span), the decision portfolio faced by a grid-connected microgrid includes forward market procurement, internal generator commitment and dispatching, and spot market procurement. To optimize this decision portfolio while manage the risks caused by the uncertainties, a medium-term operation decision-making model is proposed based on the minimax regret optimization theory. The corresponding mathematical model is formulated and solution method is provided. Numerical case studies are also provided to illustrate and verify the proposed model.
基于极大极小遗憾优化的并网微电网中期运行策略
随着分布式发电的实施,微电网已成为现代电力系统的重要组成部分。并网微电网可以参与多个不同时间尺度的电力市场进行能源采购,并对其内部发电资源进行自我调度以满足自身需求。在中期运行阶段(每周、每月或更长时间跨度),并网微电网面临的决策组合包括远期市场采购、内部发电机承诺和调度以及现货市场采购。为了优化决策组合,同时管理不确定性带来的风险,提出了一种基于极大极小后悔优化理论的中期运营决策模型。建立了相应的数学模型,并给出了求解方法。数值研究也提供了说明和验证所提出的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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