摘要
基于电力市场阻塞管理技术,采取了综合调整网络架线及发电计划和安装潮流控制设备等措施,并计及网络剩余容量经济指标,建立了新的电力网络规划模型。在分析该模型特点的基础上,提出了对变量进行分类,使用并行粒子群算法(ParticleSwarmOptimization,PSO)对其进行求解的方法,该方法具有灵活性和可扩展性,适于解决多因素、多变量电网规划问题。算例表明,该模型可显著提高规划方案的经济性;并行PSO可有效地提高算法的计算速度和收敛性能。
Based on congestion management technology and taking account of the economical index of residual capacity of power network a novel transmission network planning model is built up by means of synthetic adjustment of network configuration,power generation scheduling and installation of power flow control devices,etc.On the basis of analyzing the features of this model,a method to solve this model is proposed by use of classifying the variables and adopting parallel particle swarm optimization(PSO).This method...
出处
《电网技术》
EI
CSCD
北大核心
2005年第23期18-23,共6页
Power System Technology
基金
国家自然科学基金(50177017)
上海市重点科技攻关计划(041612012)
国家电网公司资助课题SGZL[2004]151~~
关键词
阻塞管理
电网规划
并行算法
粒子群算法
电力市场
Congestion management
Power transmission network planning
Parallel algorithm
Particle swarm optimization
Electricity market
