电力系统网络重构的多目标双层优化策略

发布时间：2018-06-13 08:59

本文选题：网络重构 + 节点重要度　；参考：《电力系统自动化》2014年07期

【摘要】：提出一种节点重要度综合评价新方法,并在此基础上发展了网络重构多目标双层优化模型。在上层优化模型中,以最大化系统可用发电容量确定发电节点恢复顺序;在下层确定恢复路径的多目标优化模型中,以最大化恢复路径的平均重要度和最小化路径的充电电容为目标,并考虑了线路恢复时间对机组恢复的影响。提出一种基于细胞生理特性的连续动态Pareto多步凋亡优化策略(MSAOS),其将整个电力系统网络重构划分为多步,每步的优化问题规模和难度都较小,且可在一定程度上避免维数灾问题;利用该策略进行多目标网络重构优化,可以在兼顾全局最优的基础上实现发电节点恢复路径优化的分段最优,并能以分支图的形式展示恢复优化过程中的网络重构策略集。利用模糊决策(FDM)方法优化出最终网络重构策略。以新英格兰10机39节点系统和广州电力系统为例,说明了所发展的模型和方法的基本特征。
[Abstract]:A new comprehensive evaluation method of node importance is proposed and a multi-objective bilevel optimization model for network reconfiguration is developed. In the upper layer optimization model, the order of generation node recovery is determined by maximizing the available generation capacity of the system, and in the multiobjective optimization model where the lower layer determines the recovery path, The aim is to maximize the average importance of the recovery path and minimize the charging capacitance of the path, and the effect of line recovery time on the recovery of the unit is considered. A continuous dynamic Pareto multi-step apoptosis optimization strategy based on cell physiological characteristics is proposed. It divides the whole power system network reconfiguration into multi-steps, and the optimization problem of each step is small in scale and difficulty, and can avoid the dimension disaster problem to a certain extent. Using this strategy to optimize multi-objective network reconfiguration, the piecewise optimization of power generation node recovery path optimization can be realized on the basis of global optimization, and the network reconfiguration policy set in the process of restoration optimization can be displayed in the form of branch graph. Fuzzy decision making (FDM) method is used to optimize the final network reconfiguration strategy. Taking New England 10-machine 39-bus system and Guangzhou power system as examples, the basic characteristics of the developed models and methods are illustrated.
【作者单位】：浙江大学电气工程学院;南瑞集团公司(国网电力科学研究院);湖州供电公司;
【基金】：国家高技术研究发展计划(863计划)资助项目(2011AA05A105) 国家自然科学基金资助项目(51007080,51377005) 中央高校基本科研业务费专项资金资助项目(2012QNA4011) 国家电网公司科技项目(5211011306TB)~~
【分类号】：TM711

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