Research On Optimal Scheduling Of Microgrid Containing Multiple Micro Sources

With the rapid development of world economy,the various countries' growing demand for energy,on the one hand,the global energy supply the growing tension,on the other hand also brought,such as climate change,serious environmental problems such as the greenhouse effect;At the same time in traditional centralized interconnected power supply way in providing efficient electricity at the same time,also brought,such as difficult operation and low power grid reliability and high power transmission and distribution costs.In order to effectively alleviate these problems,can complement the development of the micro grid system has been widely attention.With the further development of research on pluripotent complementary micro grid,how to optimize the system's internal energy,and puts forward a systemic pluripotent complementary micro power grid operation control strategy is the key to solve the problem.Starting from the demand of pluripotent complementary micro power grid operation,this paper firstly analyze the output characteristics of the distributed generation and set up the mathematical model of generation power.Then considered pluripotent complementary micro grid system of environmental protection and economy,puts forward the minimum operation cost and the cost of pollution emissions minimum multi-objective function,and on the basis of pluripotent complementary internal energy micro power grid structure and the external market plan,formulated the four different pluripotent complementary micro power grid scheduling policy,established a pluripotent complementary micro power grid mathematical model of optimal operation;Using penalty value along with the change of constraint value dynamic correction of multistage punishment function method will have constrained problem into unconstrained problem,and with the improved particle swarm algorithm to solve the model,pluripotent complementary micro power grid are analyzed respectively in the different operation strategy and the simulation results under different objective function.The simulation results show that the improved particle swarm algorithm can fast and accurate model;Considering multi-objective model of economy and the environment than only considering environmental factors or economic system of single objective model can reflect more the operation benefit and environment benefit;And energy exchange in both directions of time-sharing electricity running strategy can effectively response the market demand,reduce the operating costs of the micro grid.Pluripotent complementary containing micro grid system through the charge and discharge power to adjust the load fluctuation of energy storage device,thus the service life of the energy storage device in reduced cost of economy into pluripotent complementary micro grid system is running in the overall economy is very necessary.This paper constructed the meter and energy storage reduced cost pluripotent complementary micro power grid mathematical model for optimal operation at the same time considering the micro grid operation cost,environmental factors and multiple targets for energy storage reduced costs by using the linear weighted method will be treated as a multi-objective into single objective,using improved particle swarm algorithm to solve optimization scheduling optimization model,the last in a micro grid contains a variety of distributed power supply on the simulation analysis for the object.The simulation model is verified by an example to build the rationality and validity of the algorithm.