Optimal location and capacity of distributed generation based on scenario probability

The paper analyzes distributed generation planning of capacity and location. Distributed generation usually installed in distribution system. Distributed generation such as solar generation and wind generation power output is affected by meteorological conditions. DG power production fluctuates frequently, DG injected distribution system is seldom dispatched and controlled by operators. Some control means could not adapt to operation mode frequently varying. Distributed generation planning method must adapt to DG power output random large-scale change. Scenario Probability methodology is applied to take DG optimal planning. The methodology separates random DG output into several portions. Every portion is related to different DG output scenario. Every scenario happening probability is estimated. Planning methods also consider investment cost and power loss of distribution network. Technical constraints such as feeder capacity limits, feeder voltage profile are considered. PSO algorithm is applied to solve planning problem. Example of IEEE-33 shows that the proposed method is feasible. Planning DG embedded in distribution system can well adapt DG output fluctuation.