Optimization Of Distributed Generation In Micro Grids Using Improved Particle Swarm Optimization Algorithm

Energy shortage and gradual maturity of micro grid technology has promoted rapid development of distributed generation(DG) technology. Distributed power generation normally includes a large quantity of new energy generation which is with strong undulation and uncertainty. Connection of a large amount of DGs will result in change of micro grid flow and voltage, while unreasonable DGs connected location and capacity may cause numerous adverse impacts. Therefore, how to optimize the access locations and capacities of various types of DGs safely, reliably and economically has vital research significance.Optimal allocation of distributed generation in micro grids can significantly improve the stability and benefit the economy of micro grid operation. And optimal micro grid planning is a kind of multi-dimensional and non-linear optimization problem. In the present study, a multi-objective model is established by adopting the objective function which minimizes network loss, electricity price and operating cost; an improved particle swarm optimization(IPSO) algorithm with better optimizing performance is proposed by improving the initializing method and parameter control while mutation operator is introduced. The proposed IPSO algorithm is then applied to a 28-node micro grid network structure. The comparison between different optimization schemes demonstrates the significance of optimal placement of DGs in micro grids. And it is also clear that the IPSO algorithm in this study can effectively solve such problems.