The Optimal Operation For Cascaded Hydropower Stations And The Implement Of System

The scheduling of cascade hydroelectric stations is a famous problem that has drawn a wide attention by many scholars. By the effective of meteorological, hydrology, power generation, the work of electric network and the need of water for live, it has proved to be a high-dimension, non-convex, nonlinear and strong-coupling problem. As the great development of water resources in our nation, more and more reservoirs have been or are in contribution. The hydro systems have gone more and more complex. The tradition methods only take single reservoir or single object in consideration, however, nowadays, to raise the synthetically benefit of cascade hydroelectric stations, the relation of water resource and power between up and down reservoir should also be paid attention to. What's more, the optimal thesis and method is also necessary. Only the profit and conflict of different department are coordinated that the management of systems can be raised, even the fully utilize of the water resources. In this case, my work focuses on the optimal operation of cascade hydroelectric stations. To study the problem of flood control and power generation in hydro scheduling, my work imported the thesis of system-engineering and the modern optimization algorithm. Finally, the result of this work is applied to the operation of Sanxia project in our nation. The main work is described as:(1) For the reason that the tradition method exhibit the drawback of "diverse disaster" and high computation while applied to reservoir scheduling problem. In my work, a chaotic cultural particle swarm optimization is proposed to solve this problem. This method takes the particle swarm optimization (PSO) as the main searching method. The framework of cultural algorithm (CA) is applied to direct the evolution process of population. Also a communication protocol of CA, which consists of accept and effect operation, is also accomplished. To strengthen the effective of proposed algorithm, the chaotic local search is imported in the believe space. With the evolution of two spaces, not only the convergence speed of algorithm is accelerated, but also the premature can be prevented. The result of applying proposed method to the test function and the flood control of Sanxia project proved that, while compared with tradition method, the proposed algorithm has greater searching ability, which is an effective method for the flood control problem of cascade hydroelectric stations. (2) The scheduling problem of cascade hydroelectric stations consist more complex equal and unequal constraints. However, the tradition methods lack of strategy to deal with these constraints. So an improved-constraint self-adaptive chaotic particle swarm optimization is proposed to overcome this drawback. In this method, the initial and final water level constraints are converted to another equality constraint, the quantity of water constraint. Then two strategies are proposed to handling this constraint. One is that by allocating the difference water of equality constraint to different intervals randomly, another is that dividing the difference water of equality constraint into small parts, then allocates the part water by the rule of better object functions until the equality constraint is meet. What's more, a new chaotic local search strategy is applied to improve the searching efficiency of proposed algorithm. While applied the method to solve the problem of optimal generation scheduling in cascaded hydroelectric stations and the test system of hydro-thermal scheduling, the proposed algorithm shows high efficiency and convergence. Obviously that proved the method is feasible for generation scheduling in cascaded hydroelectric stations.(3) To fully utilize the various functions of cascaded hydroelectric stations, my work has proposed a multi-object improved-constraint self-adaptive chaotic particle swarm optimization to solve the multi-object problem on the operation of cascaded hydroelectric stations. This method is based on the thesis of multi-object algorithms. To reduce the procedure of merging population in evolution, a combination population is devised, which includes three parts:the local population, the best solutions for local population and the better solutions. The fast dominated sort method of NSGA-II is imported to build the non-dominated set. Then the strategy of selecting individuals which proposed in SPEA2 is applied to select the excellent individuals. A way of selecting the history and overall best solution for multi-object problem is also defined. What's more, the constraint handling method proposed in previous algorithm is improved to adapt to multi-object problem. The result of applied proposed algorithm to solve multi-object test functions, flood control and power generation problem in Sanxia project shows that the proposed algorithm has the better solution in both convergence and diversity, which provide a better data support for the problem of operation in Sanxia project. (4) By integrating the optimal thesis and method in an operation system that these achievements can direct the operation procedure of cascaded hydroelectric stations directly. In that case, a B/S based structure named SS framework to design the system of operation. The Struts2 framework is applied to the display layer of system. To optimal the procedure that JS operates the method in server, the DWR technique is adopted, which makes the configuration of system much easier. The Web Service technique is applied to the design procedure of business layer that the feature in different models and algorithms, cross platform and language, is achieved. The simple data layer is proposed to avoid the complex configure of tradition data layer framework. It's more important that the reference procedure of data is optimized. A way of designing class for operation system is defined. The design pattern of considering the relation that exists in unrelated object is applied to adequate the efficiency of visiting data. What's more, a method of generating code in simple data layer is proposed, which make the development process much faster. Two object oriented based half search method is also raised. And the range of application of two methods is also shown. The application of operation system has achieved good results, that a fast and convenient work platform is provided.