Research On Optimal Scheduling Of Microgrid Based On Improved Whale Algorithm

The progress of science and technology and the rise of energy consumption have brought about environmental pollution and energy crisis.The need for clean and effective energy is essential.As a result,microgrid technology develops as needed.The issue of connecting a distributed power supply to the power grid is resolved by a microgrid,which can switch between an island mode and a mode that is connected to the grid and can rationally use renewable energy sources like wind and solar.Microgrids still need to solve a lot of issues as a new kind of power supply system,such as how to operate them more efficiently,cut back on emissions of pollutants,and use more clean energy.The most effective microgrid scheduling can increase a microgrid’s economy,environmental protection,and energy usage rate,which has significant research implications.First,a model of a microgrid is built in this work,complete with a wind turbine,a solar power plant,a small gas turbine,a fuel cell,a gas boiler,an electric boiler,a waste heat boiler,a power storage system,and a heat storage system.Each piece of energy supply equipment is described in full,together with its operating characteristics and accompanying mathematical model.Second,a detailed introduction to the whale algorithm’s principle and mechanism.The chaotic mapping method,nonlinear convergence factor,and Cauchy mutation strategy are presented to improve the original whale algorithm in order to address its flaws,which include its ease of falling into local optimums and poor convergence speed.The improved whale algorithm is compared to simulation results of the particle swarm optimization,genetic algorithm,and whale algorithm in order to define whether the IWOA is practicable.Six standard test functions are utilized for simulation verification.The outcomes demonstrate the viability of the modified whale algorithm technique.Besides,the IWOA calculation is utilized to fathom the ideal planning issue of control supply microgrid.The comprehensive benefits of operation taken a toll and natural administration fetched are taken as the optimization goals,and the imperatives to guarantee the secure operation of microgrid are built up.The operation strategy of microgrid island and grid-connected mode is formulated.The IWOA calculation is utilized to unravel the yield of each control supply gear in island and grid-connected modes.The recreation comes about are compared with other calculations to confirm the predominance of IWOA calculation in understanding such issues,which can viably move forward the comprehensive benefits of microgrid.Finally,in arrange to assist confirm the execution of the IWOA calculation,it is used to solve the optimal scheduling problem of CHP microgrid.The equipment type and constraint conditions of such problems are more complex,and there is also a coupling relationship between thermoelectric energy,so there is a higher requirement for the solution ability of the algorithm.With the goal of minimizing operating costs and environmental governance costs,the two strategies of " determining heat by electricity " and " determining electricity by heat " of cogeneration microgrid are analyzed and integrated.The IWOA algorithm is used to simulate the model with or without heat storage device.Finally,the output of each energy supply equipment is analyzed.The results show that the heat storage tank can realize the transmission of load peak-valley difference and improve the coupling relationship between heat and power.It is proved that the model with heat storage device will reduce the total operating cost of the cogeneration microgrid.At the same time,it is further verified that the IWOA algorithm still shows better optimization ability in solving more complex problems,improves the economy and environmental protection of the cogeneration microgrid,and also provides a feasible method for the optimal scheduling of the cogeneration microgrid.