基于非支配排序差分进化算法的多目标电网规划

在多目标电网规划问题中,综合考虑经济性、安全可靠性和环境影响等因素后,提出了非支配排序差分进化算法。以电网投资、运行维护费用、网损费用、线路走廊面积最小为目标建立了多目标电网规划模型。非支配排序差分进化算法将Pareto非支配排序法与差分进化算法相结合,采用动态调整策略调整差分进化算法控制参数,改进了个体拥挤比较机制,提高了算法的全局搜索能力和种群多样性,并基于模糊集理论选取最优折衷解。Garver-6节点和Garver-18节点系统算例结果表明,该算法可以有效生成分布均匀的Pareto最优解集,在求解多目标电网规划问题中具有可行性和优越性。

Multi-objective Transmission Network Planning Based on Non-dominated Sorting Differential Evolution

Considering the factors in multi-objective power network planning such as economy,security and reliability as well as environment influences,a non-dominated sorting differential evolution algorithm is proposed.Taking minimized investment for power network,operation and maintenance costs,network loss cost and line corridor as objectives,a multi-objective power network planning model is built.The non-dominated sorting differential evolution algorithm integrates Pareto non-dominated sorting algorithm with diff...