摘要
合理的机组恢复顺序和可靠的恢复路径对系统的快速恢复具有重要影响。分析了网架重构的机组恢复过程,建立了新的网架重构机组恢复多目标优化模型。优化目标为待恢复机组提供的发电量尽可能大,并兼顾线路恢复操作的可靠性和对后续恢复的影响。通过设置优化问题的求解域,松弛优化目标的主次关系,并引入差分进化—分布估计算法(DE-EDA)提高求解效率。所述方法能同时给出Pareto最优的机组恢复顺序、目标网架重构方案及线路投入顺序。算例仿真结果表明,设置求解域可减少计算量,提高求解速度;使用DE-EDA获得的最优解具有更好的收敛性和分布性。
The rational generator start-up sequence and reliable restoration paths are very important for fast restoration of a power system.The unit restoration process of network reconstruction is analyzed,and a new multi-objective optimization model of unit restoration is proposed.The main optimization goal is to maximize the total power generation capability,and the restoration reliability of transmission lines and the impact on successive restoration process are also considered.The solution domain is set to slacken the constraint on primary and secondary optimization goals,while the differential evolution-estimation of distribution algorithm（DE-EDA）is introduced to improve the solution efficiency.Meanwhile,the Pareto-optimal generator start-up sequence,target network reconstruction plan as well as line restoration sequence can be obtained.Simulation results show that the computation burden can be reduced significantly by setting the solution domain and that the Pareto solutions obtained by DE-EDA have better convergence and distribution.
出处
《电力系统自动化》
EI
CSCD
北大核心
2014年第16期53-59,共7页
Automation of Electric Power Systems
基金
国家高技术研究发展计划(863计划)资助项目(2011AA05A118)
国家自然科学基金资助项目(50877044)~~
关键词
机组恢复
网架重构
多目标优化
智能优化
unit restoration
network reconstruction
multi-objective optimization
intelligent optimization
