一种模糊自适应粒子群优化在配电网规划中的应用

摘要

根据以配电网最小网损为目标函数建立的规划模型，提出将一种模糊白适应粒子群优化算法应用于配电网规划中。针对迭代过程中二进制粒子群算法会产生大量不可行解的问题，通过建立节点分层矩阵进行辐射状判断和配电网潮流计算。IEEE16节点算例结果表明，优化算法使配电网更经济运行，且模糊自适应粒子群优化算法较基本粒子群优化算法收敛速度快，具有更好的全局搜索能力，算法有效且实用。%According to the planning model taking minimal loss of distribution network as the objective function, a kind of fuzzy adaptive particle swam optimization （APSO） was proposed to be used in distribution system planning. To overcome the non-radial solutions in the it- eration of PSO, a node-layer matrix-based method was suggested to determine the radial state and calculate the flow of distribution network. The results of IEEE 16-node show the optimal algorithm makes distribution network operate more economically. Compared with the PSO, the fuzzy APSO has advantages of faster convergence and more efficient global search capability. The algorithm is effective and practical.