In recent years,distributed generation holds more and more shares in electric power system as it has so many advantages.It has become a new trend in power source.At the same time,the distributed generation is becoming attractive alternatives for power system planners.But with the number of distributed generations increasing,the distribution network which distributed generation integrated to will face more and more uncertainties.The paper pay attation on the studies about network expansion planning considered distributed generation based on the achievements worldwide.Firstly,an expectation planning model is presented which the objective function is taken a full considered about the distributed generation's economic interests to the grid Corporation.Further more,the output of distributed generation is simulated by Monte-Carlo and an refined genetic algorithm is applied to obtain the optimal solution.The third,the impact of probabilistic performance of distributed generation and its cost of power generation to the distribution expansion planning is researched.In the end,the feasibility of the presented model and algorithm is verified by an example. |