Hybrid Algorithm Of Particle Swarm Harmony Search And Its Application In Long - Term Optimal Operation Of Reservoir

Along with the advancement of the construction of our country water conservancy, hydropower station reservoir optimal scheduling has becomed a core issue of the long-term economic operation of hydropower system. It is important to study how to dispatch hydropower station effectively and reasonably according to scheduling optimization techniques and improve water use efficiency.Affected by many factors, reservoir scheduling model becomes more complex optimization problems with multiple objectives, more extreme value, high dimension and nonlinear characteristics which is difficult to be solved by traditional optimization. With the rapid development of computer technology, many intelligent algorithms appearance continuously which is more suitable for difficult problems that traditional methods can not solve. As a new efficient heuristic global search algorithm, harmony search algorithm can solve the optimization problem through simulation music principles. It has many advantages of a simple structure, easy to implement, robustness, etc. However the convergence and speed of the algorithm are necessary to improve. By studying harmony algorithm optimization mechanism in this paper, combined with particle swarm algorithm, the particle swarm harmony search mixed algorithm is proposed, and after making improvements apply to the long-term optimal scheduling of Xiaowan Hydropower Station.The paper described the background and significance of reservoir operation study and research progress at home and abroad firstly, and introduced common method of reservoir optimization scheduling and analysis the advantages and disadvantages of model. Then harmony search algorithm to do in-depth research, harmony search particle swarm hybrid algorithm (PSOHS) is proposed to for the poor convergence of the algorithm and the lack of slow convergence. Then according to the Xiaowan reservoir runoff data of 30 years, with the goal of maximizing the generating function to establish a long-term optimal scheduling model, using conventional algorithms and PSOHS optimization algorithm to solve the model problem.Traditional calculation is based on the equal flow while the time-interval is month, and the calculation results for many years the average capacity is 1865.736 billion kW · h.In order to simplifying the calculation, this thesis calculated the model based on pluriennial regulation firstly, then calculated the model based on annual regulation for some representative years,which is to amend the result of annual regulation. And the calculation results for many years the average capacity is 2013.736 billion kW · h, it arrived at the conclusion that PSOHS optimization algorithm can improve electric production 7.36%compared with the traditional calculation. For better to compare the effect of optimization, selected the 1967-1980 period of 30 years time series, calculated the mutagenicity(1967-1977yesrs) and the plentiful (1978-1980yesrs) power optimization efficiency is-2.73% and 7.08%, this fully embodied the regulation of the reservoir. The whole period of generating capacity increased 5.25%,which reflected the PSOHS algorithm has a good optimization effect. Application results show that particle swarm harmony search hybrid algorithm in the application of the reservoir optimal operation for a long time is effective and feasible.