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Robust Energy and Reserve Dispatch Under Variable Renewable Generation

机译:可变可再生发电下的强劲能源和储备调度

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摘要

Global warming and environmental pollution concerns have promoted dramatic integrations of renewable energy sources all over the world. Associated with benefits of environmental conservation, essentially uncertain and variable characteristics of such energy resources significantly challenge the operation of power systems. In order to implement reliable and economical operations, a robust energy and reserve dispatch (RERD) model is proposed in this paper, in which the operating decisions are divided into pre-dispatch and re-dispatch. A robust feasibility constraint set is imposed on pre-dispatch variables, such that operation constraints can be recovered by adjusting re-dispatch after wind generation realizes. The model is extended to more general dispatch decision making problems involving uncertainties in the framework of adjustable robust optimization. By revealing the convexity of the robust feasibility constraint set, a comprehensive mixed integer linear programming based oracle is presented to verify the robust feasibility of pre-dispatch decisions. A cutting plane algorithm is established to solve associated optimization problems. The proposed model and method are applied to a five-bus system as well as a realistic provincial power grid in China. Numeric experiments demonstrate that the proposed methodology is effective and efficient.
机译:对全球变暖和环境污染的关注促进了全球可再生能源的急剧整合。伴随着环境保护的益处,这种能源的本质上不确定和可变的特征极大地挑战了电力系统的运行。为了实现可靠,经济的运行,本文提出了一种鲁棒的能源和储备调度(RERD)模型,该模型将运行决策分为预调度和重调度。将强大的可行性约束集强加于调度前的变量,从而可以在实现风力发电后通过调整重新调度来恢复运行约束。该模型扩展到可调整鲁棒优化框架中涉及不确定性的更一般的调度决策问题。通过揭示鲁棒可行性约束集的凸性,提出了一种基于综合混合整数线性规划的预言机,以验证调度前决策的鲁棒可行性。建立了切面算法来解决相关的优化问题。所提出的模型和方法被应用于五总线系统以及中国现实的省级电网。数值实验表明,所提出的方法是有效的。

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