Multi-objective Optimization Configuration Of Wind Solar Storage Microgrid

With the primary energy shortage and environmental deterioration, every country in the world is looking for a way to solve this problem, and application of new energy and renewable energy in the global scope has been developed rapidly. In the process of the development of renewable energy technology, wind energy and solar energy are two kinds of rich energy sources with good complementary characteristic, which have been widely concerned and applied in the power generation system. Compared with the traditional power generation technology, wind power and solar power can make up for the shortage of electricity, and can improve the environment, which have good research and market prospects. However, in the design of wind solar complementary power supply system, how to configure the wind turbines, solar cells and energy storage parts makes the cost of system lowest, reliability of power supply better and clean energy utilization efficiency highest which is multi-objective optimization problem of wind solar complementary system. The problem is also a hot spot in the present study.Firstly, aiming at the multi-objective optimization problem of wind solar complementary system, in this dissertation the composition and characteristics of the system are studied and analyzed. Wind speed and solar radiation data of every hour of the whole year in the Jia Yuguan area of Gansu is simulated through meteorological model of weather research and forecasting(WRF) and mathematical models of wind power generator, solar cell, storage part and electric load are established. Wind power and photovoltaic power generation are defined, and then the objective functions are obtained which respectively are system cost function, rate function of the loss of load probability used to measure the system reliability, and rate function of energy loss probability used to measure the system energy waste. The above three functions are used as the multi objective optimization indexes of the system.Secondly, in order to solve the multi objective optimization problem of wind solar complementary power supply system, this dissertation uses the multi objective particle swarm optimization algorithm(CMOPSO) to solve the three objective functions. CMOPSO is analyzed and studied. The CMOPSO algorithm is tested through the standard multi objective test functions. Then, the CMOPSO algorithm and the multi-objective optimization algorithm NSGA-II are compared. The results show that the CMOPSO algorithm has certain advantages compared to the classical elitist non-dominated sorting genetic algorithm(NSGA-II) algorithm.Finally, the objective function and algorithm are analyzed in three aspects. Optimization design analysis of two targets is made through selecting the system cost and load loss rate as the objective function, and then optimization design analysis of three targets is made through selecting the system cost, load loss rate and energy loss rate as the objective function. According to the different energy storage methods which are hybrid energy storage mode containing super capacitor and single energy storage mode without super capacitor, optimization analysis of two targets and three targets are made. The wind solar complementary power supply system mode, individual wind power generation mode and individual photovoltaic power generation mode are optimized and compared, and the superiority of wind solar complementary power generation system is proved.The calculation and simulation results show that, in the optimization of the two targets and the three targets, the two targets' cost is lower than that of three targets and its energy waste rate is higher than that of three targets. Furthermore, it shows that with the increase of the energy utilization rate the cost of the system will increase. Next, whether it is two or three targets, the hybrid storage can save cost compared with the traditional storage. Compared to individual power supply mode, the wind solar complementary power supply can improve the efficiency of power generation. Therefore, the research of this dissertation can provide a good academic and theoretical value for the popularization and application of new energy power generation and microgrid.