Research On Economical And Optimal Operation Of The Microgrid Based On Water Cycle Algorithm With Evaporation Rate

Energy is a country’s strategic reserve resource and an important material basis for people’s lives and economic development.With the large-scale development and utilization of natural resources by humans,the problems of global environmental pollution and energy shortages are also increasing,and the development of clean and efficient energy is urgent.In the current environment of the energy revolution,distributed energy has also developed rapidly.Microgrid is an important part of the energy Internet.It can connect distributed power sources,loads,energy storage devices and power electronic devices into a unit to connect to the grid,effectively promoting the development of distributed energy.The combined cooling,heating and power(CCHP)system can circulate multiple energy sources such as cooling,heating and electricity through auxiliary equipment,thereby effectively improving energy utilization.The water cycle algorithm(WCA)is an algorithm proposed by the natural water cycle process.It can be used to deal with engineering design problems with constraints,solve differential equations and optimize mechanical models.It has been widely used in the engineering field.However,the convergence speed and accuracy of the WCA still have certain shortcomings,so this paper proposes to use a water cycle algorithm that is improved for the evaporation rate so called evaporation rate based WCA(ERWCA)to solve the problem of optimal configuration and optimal dispatch of microgrids.In this paper,the ER-WCA is first used to solve the problem of the optimal configuration of the independent single power supply microgrid capacity.With the goal of the lowest total cost,the power-to-gas equipment is used to absorb the surplus power of the microgrid,and three different power conversion schemes are proposed,then use the ER-WCA to solve the model.Through comprehensive analysis of the economic cost,environmental cost and microgrid abandonment cost among the three schemes,the best scheme to meet this example is found.After that,taking the best solution as an example,the particle swarm optimization(PSO)and genetic algorithm(GA)are used to solve the solution,and the results obtained are compared and analyzed to verify the effectiveness of the ER-WCA in solving such problems.In order to further test the performance of the ER-WCA,this paper applies it to the solution of the optimal dispatching problem of the CCHP microgrid.The model of this type of problem is more complex,more operating constraints and exist multiple energy coupling relationships,therefore the performance requirements of the algorithm are also higher.This paper takes the lowest total operating cost of the system as the goal,selects typical winter and summer days,uses the ER-WCA to solve the combined cooling,heating and power microgrid model,and analyzes the output of each unit on typical winter and summer days.Then use the PSO,the GA,and the WCA to solve the problem,and compare the results.The results show that using the ER-WCA to solve the model has better performance,and can obtain better economic and environmental benefits.It is concluded that the ER-WCA is more advantageous in dealing with the optimization of the economic operation of the microgrid.