Application Research Of Improved Sparrow Optimal Algorithm In Reservoir Optimal Dispatch

With the new normal of China’s economy and the needs of green and sustainable development,while China continues to reduce the consumption of non renewable energy such as coal,oil and natural gas,renewable energy such as hydropower,thermal power and nuclear power has become an important production measure to shoulder China’s energy demand.Among them,hydropower energy is in a priority position in China’s energy development planning because of its advantages such as clean and environmental protection,beneficial ecological environment,and strong ability to optimize the allocation.The optimal operation of hydropower reservoir is a key factor in the development and utilization of hydropower energy.It is of great significance to ensure the stable operation of national hydropower energy demand,improve the utilization efficiency of hydropower resources,and give full play to the multi-functional benefits of hydropower reservoir engineering.Reservoir optimal operation is a kind of nonlinear optimization problem with high dimension and multi constraints.The solution of this kind of problem needs to be comprehensively considered according to the mathematical optimization model established by the actual engineering situation and the solution method selected.With the increase of factors considered,the complexity of the problem continues to improve.The computational power of traditional optimization algorithms in solving the problem usually can not solve the dimensionality disaster problem in the calculation process,and the computational efficiency is low.With the joint research of computer science and bionics biology,a series of intelligent optimization algorithms with good robustness,strong applicability and fast computational efficiency and many improved algorithms have been put forward,which have been widely used in the study of reservoir optimal operation.Based on the previous theoretical methods and Research on intelligent algorithm and reservoir optimal operation model,this paper introduces and improves sparrow optimization algorithm to improve the hydropower efficiency of hydropower station reservoir,and provides a new idea for reservoir optimal operation research.The main work of this paper is as follows:Algorithm improvement: Aiming at the optimization problem of reservoir optimal operation algorithm,based on the picewise chaotic mapping theory,this paper couples it to the initial population,making the individual population evenly distributed in the optimization space,increasing the richness of the population,which is conducive to improving the optimization efficiency of the algorithm.Inspired by the genetic algorithm,the differential mutation crossover selection strategy is introduced in sparrow individual selection,and the greedy principle is used to select high-quality individuals to participate in the population iterative update.Finally,the step size factor parameter which has the ability to control the global optimization in the sparrow optimization algorithm is dynamically adjusted to effectively improve the ability of the algorithm to jump out of the local optimization.Based on the above improved sparrow optimization algorithm,the comparison between PSO and SOA algorithm by benchmark function simulation experiment verifies the optimization efficiency and effectiveness of the improved sparrow optimization algorithm in solving the benchmark function.Research area analysis: Taking the proposed Longwan Lake Reservoir as the research area,this paper constructs a reservoir optimal operation model with the annual power generation of the reservoir as the optimization objective.According to the actual situation of the research area,the impact of the upstream Shimen Reservoir is analyzed and calculated,and the inflow volume sequence of Longwan Lake Reservoir in the year of 75% inflow guarantee rate is obtained.Research area analysis: Taking the proposed Longwan Lake Reservoir as the research area,this paper constructs a reservoir optimal operation model with the annual power generation of the reservoir as the optimization objective.According to the actual situation of the research area,the impact of the upstream Shimen Reservoir is analyzed and calculated,and the inflow volume sequence of Longwan Lake Reservoir in the year of 75% inflow guarantee rate is obtained.Algorithm application: in this paper,the improved sparrow optimization algorithm(ISOA)is applied to the proposed optimal operation model of Longwan lake reservoir,and the annual power generation optimization results and iteration number trend chart of particle swarm optimization(PSO)and original sparrow optimization algorithm(SOA)are compared and analyzed.Compared with SOA and PSO,the optimization rate of annual power generation increased by 1.11% and 1.43% respectively.The results show that the optimization efficiency of ISOA is faster and the stability is higher.