摘要
提出一种应用改进的蚁群算法来解决配电网规划问题的模型,用来选择满足需求的、最好的网络规划,目标函数包含了同未来投资和功率损耗相关联的固定的和变化的费用。用MatLab模拟139个节点的配电网络来应用改进算法,分析表明,可以取得较好的规划结果。
Model of improved Ant Colony Algorithm （ACA） is presented to solve electrical distribution planning problems. This algorithm is applied to choose the best network plan that satisfies all demand requirements. Objective function includes fixed and variable costs associated to future investments and power losses subject to network constraints. The improved algorithm has been applied into a 139 - node network simulated by the MATLAB. The solutions show that it obtains better planning results.
出处
《电力科学与工程》
2010年第5期30-33,共4页
Electric Power Science and Engineering
关键词
配电网规划
蚁群算法
运行费用
约束条件
electric distribution network planning
ant colony algorithm
operational cost
constraints
