Research On Water Wave Optimization And Its Application In Small Hydropower Group Scheduling

As a clean renewable energy,small hydropower is an important part of rural enery system.With the continuous construction of China's hydropower project,it is of great significance to establish a reasonable optimization model of hydropower station and to study the efficient optimization algorithm,in order to improve the utilization rate of water resources and realize sustainable development.With the development of small hydropower operation from the conventional scheduling to intelligent optimization scheduling.The optimal scheduling of cascade small hydropower group needs to consider the coordination of multi-objective and establish a multi-objective optimal scheduling model.At the same time,it is necessary to study the appropriate optimization algorithm to solve the model.In this paper,the adaptive water wave optimization is studied and improved and the adaptive water wave optimization based on simulated annealing is proposed;Based on the multi-objective optimal scheduling problem of small hydropower group,the single-objective water wave optimization algorithm is extended to multi-objective water wave optimization algorithm;Finally,the optimal scheduling model of cascade small hydropower group based on the actual situation of the river basin is established,and the multi-objective water wave optimization is used to solve the problem.The main work of this paper is as follows:1.The adaptive water wave optimization based on simulated annealing is proposed.In order to make use of the information in the process of iterative evolution,the wavelength coefficient adaptive adjustment strategy is proposed;In order to solve the problem of premature convergence,the idea of adding the simulated annealing algorithm is proposed to enhance the ability of jumping out of the local optimal;The algorithm also provides a new idea for solving the problem of optimal scheduling of small hydropower.2.In order to solve the problem of high dimensional multi-target,based on the simple,less parameter and easy-to-adjust feature,the water wave optimization is extended to multi-objective optimization algorithm,: the adaptive multi-objective water wave optimization based on simulated annealing is proposed.This algorithm introduces the maximum and minimum fitness function to select the optimal solution,and proposes a truncated retention strategy combined with the idea of simulated annealing to maintain the external file set,and propose an adaptive adjustment wavelength strategy to improve the efficiency of the algorithm.The test results show that the solution set is closer to the real Pareto front end.Which provides a new method for multi-objective optimal scheduling of small hydropower.3.The general principles of optimal scheduling of small hydropower are discussd.The results of different scheduling principles are analyzed.Then,based on the dispatching principle and the actual situation,a multi-objective optimal dispatching model is established for the cascade cascade small hydropower group of Lushui River Basin,considering the maximization of power generation,ensuring the minimum ecological water deficit and ensuring the downstream irrigation water.Finally,the multi-objective water wave optimization is used to solve the model and the optimal scheduling results are obtained,which provides some reference and suggestions for the operation of the hydropower station.4.Combined with the above theoretical methods and field research,the Lishui River Basin intelligent dispatch management system is designed and developed.It provides a more intelligent platform for operation and maintenance of hydropower stations and optimized dispatch.Finally,a summary of the full paper and the further research content to be studied are proposed.