Research On Economic Operation Application Of Microgrid Based On TSPSO

Along with the energy crisis and environmental pollution, it is imperative to vigorouslydevelop renewable energy. A good scheduling strategy is the key to the economic operation ofmicrogrid. This thesis does research on how to build effective scheduling strategy so as toachieve the economic operation, which has important practical significance and practicalvalue of research.With microgrid composed of WT, PV, SB, MT and FC, the basic characteristics andmathematical models of each micro-source are deeply analyzed. To reduce the overalloperation costs and achieve economic operation of microgrid, the grid-connected and grid-offsegment scheduling strategies are proposed, which means the scheduling cycle can be dividedinto peaks, valleys and flat periods according to the load change of the day, and differentscheduling strategy works in different periods. On this basis, the grid-connected and grid-offeconomic operation models are established with the objective function of integrated microgridoperation cost, which takes into account factors related to the battery life and the outputpower.In order to solve the problem of low convergence speed, easily to get into localoptimization cycle of particle swarm algorithm, which may cause the problem of particleprecocious, the Tabu search theory is combined with the particle swarm optimizationalgorithm to get the particle swarm optimization algorithm improved in this thesis, whichtakes the PSO algorithm early in the algorithm and takes the TS algorithm lately to record theachieved local optimal solutions so that the next search won’t include the previous points, thusmaking the new algorithm achieve faster convergence speed and higher precision, avoidingparticles falling into local optimum to achieve the global particle swarm optimization.To validate the feasibility of the segment scheduling strategy, the TSPSO algorithm istaken to get the output power of all micro power sources and the economic running costs. Thesimulation results show that the proposed segment scheduling strategy can optimize theoutput power of all micro power sources in real time according to the load change. And thestrategy of SB charging during valley section and discharging during peak section can transferthe peak load. All in all, the proposed segment strategy can effectively reduce systemoperation costs and achieve economic operation.