Hybrid Optimization Strategy for Line Distribution Network

This paper is involved in the optimization of line distribution network. The mathematical optimization model with the investment, power and energy losses, and the selection of the line and line location, is discussed. A hybrid optimization strategy based on the adaptive probabilistic optimization technique of genetic algorithm and population intellectual technology of particle swarm optimization algorithm is proposed to solve the optimization problem. It selects the optimal number as a global optimum at every circulation, which makes its results better than both genetic algorithm and particle swarm optimization algorithm, then improves the overall performance of the hybrid optimization strategy. It combines the two algorithms by the global optimums and guarantees the independence of the two algorithms. With a practical project exemplified, the hybrid optimization strategy shows its methodological feasibility and efficiency, in terms of a shorter search time and an optimum result.