Based On Quantum Particle Swarm Optimization (QPSO) Algorithm Of Optimal Operation Of Power Grid

In today's global economy high speed development,energy depletion,environmental pollution has become the factors that restricting the economic development.In order to solve these problems,all kinds of clean energy arises at the historic moment.People's Daily consumption of the contradiction between the demand for energy and environmental protection,forcing the clean energy distributed generation technology high speed development.Among various kinds of clean energy,solar energy,wind power generation technology is the most favored by countries,while our country has put the clean energy development and utilization as a national strategic priority.Soaring increase in the number of distributed power supply type and,its control complex,influence of the main system power quality,and many other problems are also highlighted.In order to solve the above problems and further promote the use of clean energy,micro power grid was born.Micro power grid as a coordination of distributed power supply and power grid contradiction system,not only play the advantages of the distributed power also further improve power supply reliability of the client.Micro power grid for distributed power supply in the low voltage distribution network access provides a highly efficient way.Use the power of the renewable energy generation,easy to receive the weather,the influence of the natural conditions such as sunlight,temperature,make its power from the present a volatility and randomness.Coordinate all kinds of the output power of distributed power supply,to achieve the goal of satisfy the load demand and the use of clean energy,this is the micro grid scheduling.Single consider economic characteristics of the objective function or environmental characteristics of the objective function,can't give full play to the advantages of small grid,how to better scheduling of micro power grid of the distributed power output is the research content in this paper.The research content includes the points:1.The analysis of micro power grid in the micro power running characteristics and mathematical model,to study the micro grid optimization scheduling model provides the theoretical support;Quantum particle swarm optimization(QPSO)is introduced,and as the effective tool for the optimal operation of power grid.2.Set up by wind power,photovoltaic power generation,the micro gas turbine power generation,fuel cell power generation,battery power and the optimization model of micro power grid interconnection.Considering the economy and environmental protection of the micro grid conditions,put forward include the cost of economic operation cost,environmental protection,comprehensive benefit costs of multi-objective function.A weight and methods to solve multi-objective problem.3.In view of the micro grid optimization scheduling model,USES the particle swarm optimization(PSO)algorithm and the quantum particle swarm optimization(QPSO)algorithm to the optimal solution,the result of simulation shows that the quantum particle swarm optimization(QPSO)algorithm better than that of the particle swarm algorithm to optimize operation results,can play more economy and environmental protection of the micro grid.