摘要
电力系统多目标最优潮流是一个极其复杂的非线性规划问题 ,其解算方法目前仍处于研究阶段 ,而开发高效、快速、可靠的最优潮流算法是一项相当艰巨的工作。鉴于此 ,文中探讨了自适应进化规划在电力系统多目标最优潮流应用中的问题。在优化模型、遗传操作等方面进行了研究 ,进一步拓展了电力系统最优潮流计算方法的应用前景。通过 30节点 IEEE试验系统的算例表明自适应进化规划算法十分有效 。
Multi-objective optimal load flow is an extremely complicated non-linear planning problem. The paper presents anew algorithm for the solution of multi-objective optimal load flow problem. Some related technical problems. such asoptimized model. genetic operation etc. are investigated. The proposed method is applied to an IEEE-30 bus system. Thenumerical results of the simulation demonstrate that thies method can bring about some good results on dealing withconstraints flexibly, reducing the computational requirements and preventing the search from being in local optimum orconverging with difficulty near the global optimum.
出处
《电力系统自动化》
CSCD
北大核心
2000年第8期33-36,共4页
Automation of Electric Power Systems
关键词
自适应进化规划
多目标规划
最优潮流
电力系统
self-adaptive evolutionary programming: multi-objective programming
optimal load flow
