Optimal Scheduling Of Multi-source Combine System With Concentreting Solar Power Based On Hybrid Algorithm Of NSGA-? And WOA

In recent years,the scale of China's wind power and photovoltaic development has been increasing,For the northwest region where the wind power and photovoltaic development are concentrated,due to the rapid increase of the capacity and randomness of wind power and photovoltaic,the safe operation of the power grid is affected,and the power grid scheduling problem is increasingly prominent.In this paper,thermal power,wind power,and photovoltaic combined power generation systems,add CSP to establish an optimal dispatch model for the multi-source combined power generation system containing CSP.A hybrid multi-objective optimization algorithm of the elite non dominated sorting genetic(NSGA-?)and whale optimization algorithm(WOA)is used to solve the scheduling model.Firstly,this paper introduces the principles and characteristics of wind power,photovoltaics,and concentrating solar power.It focuses on the various types of concentrating solar power,the types of thermal storage systems and their development advantages.The light-to-heat-to-electric conversion process in a complex CSP system is analyzed,and the output characteristics of the CSP are analyzed.Secondly,the multi-objective optimization problems involved in the optimal scheduling.In order to find the Pareto optimal solution set satisfying the optimal scheduling,In this paper,the advantages and disadvantages of the existing NSGA-? algorithm and the new optimization algorithm(WOA)are analyzed and compared.According to the characteristics of the hybrid algorithm,a hybrid algorithm of NSGA? and WOA is proposed.The hybrid algorithm effectively improved the ability of searching space,improved the convergence performance,guaranteed the diversity of population,and improved the searching ability.The feasibility and effectiveness of the NSGA-? and WOA hybrid algorithm in solving the multi-objective optimization problem are verified by the simulation analysis on the test function and the evaluation index of the optimization algorithm.Aimed at the multi-objective optimization problem in the combined optimization of wind power-photovoltaic-thermal power generation,a multi-objective function with maximum grid-connected benefits and minimum total power fluctuations as optimization goals and constraints on safe operation of the power grid are established.The NSGA-?,WOA,NSGA-? and WOA hybrid algorithm are used to solve the optimal scheduling model of the multi-source combined power generation system.The simulation results verify the correctness of the model and show that the performance of the hybrid algorithm of NSGA-? and WOA is better.Finally,In order to reduce the energy consumption of conventional thermal power plants and the impact of the randomness and uncertainty of wind power and photovoltaic on the operation safety of power grid.In this paper,CSP with thermal storage system is introduced on the basis of wind power plant,photovoltaic power plant and thermal power plant,formed a wind power-photovoltaic-concentreting solar power-thermal power generation system.The objective function is to minimize the total power fluctuation and maximize the benefits of a multi-source combined generation system with CSP and to ensure the safe operation of the power grid with power balance constraints,traditional power system constraints,photovoltaic,wind power,and concentreting solar power constraints.The optimal scheduling model of combined generation is established.A hybrid algorithm of NSGA-? and WOA is used to solve the optimal scheduling model.When the total installed capacity of a multisource combined power generation system with CSP is the same as the total installed capacity of a combined power generation system without CSP.The results of optimal scheduling were obtained through simulation calculations.The results show that compared with multi-source optimal scheduling without CSP,the multi-source combined power generation system with CSP has higher benefits and less overall power fluctuation.It has been fully proved that CSP's thermal storage and controllable characteristics could realize the smooth output of the combined power generation system,reduced the fluctuations caused by wind power and photovoltaics,increased the penetration rate of new energy,and increased the benefits of grid connection of combined power generation.