Energy Optimization Dispatching Of Microgrid Based On Improved Particle Swarm Algorithm

The over-exploitation of fossil energy had made people attached great importance to anddeveloped and utilized the renewable energy,one of the most representative was the rapiddevelopment of the distributed energy sources such as solar and wind power.The distributed energygeneration in power grid had played a lot of advantages,but with the continuous development ofgrid technology,it come with many shortcomings,such as high cost to access to grid,more difficultto control,in order to solve these problems,the microgrid system had been established.Microgridsystem is mainly composed of distributed power,energy storage and power load which is dividedinto grid-connected and stand-alone modes.microgrid not only gives full play to the advantages ofthe different distributed powers, and ensures the security and stability of energy supply.In themicrogrid,dispatching the distributed powers is a complex technical problems,the random volatilityof wind energy, solar power made a certain impact on security and stability of microgridsystem.This paper makes a comparative study of these problems.Aiming at the problem of the accuracy of particle swarm optimization algorithm,put forwarda double-population joint search method.The particles in one of the populations are not restricted bythe global optimal value,can search in any direction while the particles in another are not onlyrestricted by their individual history optimal value but also the global optimal value of the twopopulations.Inertia weight is also improved,with the increase of the number of iterations,itdecreases linearly.Finally proves the improved particle swarm optimization algorithm to enhancethe optimization precision of the algorithm by a test function.Aiming at the problem of multi-time economic dispatch in the microgrid,puts forward thedynamic planning theory.Firstly,establishes the model of economic dispatching objective functionof microgrid,gives the constraints,then,discretes the maximum capacity of the storage into severalsmall intervals which are viewed as the upper and lower limits of the storager capacity respectively,and at the same time,the improved particle swarm optimization is proposed in each interval capacityeach period to optimized the powers of micropowers.Finally,takes CIGRE6medium voltagebenchmark system for example to verify the theory of the proposed method greatly reduces themicrogrid economic operation costs.Aiming at the problem of real-time energy optimization dispatching of the microgrid,putsforward a double-layer coordinated control theory:planning scheduling and real-time scheduling layer.The planning scheduling optimizes the economic operation of the microgrid based on forecastdatas of uncontrolled micropowers while the real-time scheduling layer focused on safety stabilityof the system,dispatches real-time error in the system and added it to the output of the controllablemicropowers in the planning scheduling layer.Finally, a typical microgrid system is token as anexample to prove the effectiveness economicly of the proposed method.