计及需求侧响应的电力系统鲁棒优化规划模型

发布时间：2018-03-01 20:21

  本文关键词： 需求侧响应 鲁棒优化 电力系统规划 非支配排序遗传算法　出处：《电力系统自动化》2016年17期 　论文类型：期刊论文

【摘要】：随着需求侧响应措施的深入开展,在电力系统规划中计及需求侧响应的影响具有重要现实意义。根据一般经济学原理,研究需求侧响应措施引起负荷需求弹性变化的不确定性,并且将该不确定性引入到电力系统规划模型中,以系统规划成本、运行成本和污染排放最小化为目标函数,建立了多目标鲁棒优化规划模型;采用引入精英策略的非支配排序遗传算法(NSGA-Ⅱ)求解该鲁棒优化模型。最后,通过算例分析说明了鲁棒优化模型的合理性,并论证了该模型能够以最小成本得到计及多种需求侧响应弹性不确定性范围下的规划方案。
[Abstract]:With the further development of demand-side response measures, it is of great practical significance to consider the influence of demand-side response in power system planning. According to the general economic principle, the uncertainty of demand elasticity caused by demand-side response measures is studied. The uncertainty is introduced into the power system planning model, and the multi-objective robust programming model is established with the objective function of system planning cost, operation cost and pollution emission minimization. The robust optimization model is solved by using the non-dominated sorting genetic algorithm (NSGA- 鈪，

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