摘要
将根据植物的向光性动力机制构造的模拟植物生长算法应用于输电网规划。采用相关文献中常用的18节点系统对所提出的方法的正确性进行了验证,得到了包括在其他相关文献中还没有出现过的方案在内的一批优化方案,且解的稳定性好。计算结果表明模拟植物生长算法具有计算模型简单、约束条件处理方便、兼具方向性和随机性的搜索机制等特点,避免了已有的仿生类算法由于一些参数难以确定而陷入局部最优的问题,非常适合于求解输电网规划问题。
A new power transmission network planning approach employing a plant growth simulation algorithm as the means of optimization is described. The plant growth simulation algorithm is a kind of bionics random algorithm inspired by the growth process of plant phototropism. To assess the potential of the approach proposed, tests are performed on an 18-bus system frequently used in the literature on transmission network planning. As a result, an entire family of interesting solutions have been obtained, including some new schemes not yet reported elsewhere. From the results obtained using this approach, it is concluded that it is a robust and promising technique for this problem by virtue of its simple calculation model, convenient handling of the constraints, and the directional and random search mechanism, which can prevent falling into local optimal point that may appear in previous bionics random algorithms due to uncertainty of some parameters.
出处
《电力系统自动化》
EI
CSCD
北大核心
2007年第7期24-28,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50177017)
上海市重点科技攻关计划资助项目(041612012)
中国博士后基金资助项目(20060400648)。
关键词
输电网络规划
电力系统
全局优化
模拟植物生长算法
分形
transmission network planning
power system
global optimization
plant growth simulation algorithm
fractal