Study On Optimal Operation Model Of Baishan-Fengman Cascade Reservoirs

With the rapid development of hydropower resources in China, the scale of the cascade reservoirs is becoming larger and larger, and its structure is becoming more and more complex. It is a hot academic research and cutting-edge issues that how to consider the coupling of complex hydraulic and power of river basin cascade hydropower stations, to study from the angle of the overall optimization of large-scale river basin hydropower energy system, and to make full use of hydropower resources in the basin. Therefore, this paper to joint optimization dispatching for cascade reservoirs group as the research background, making the traditional dynamic planning method and the modern intelligent optimization methods as the foundation of solving the main problem of cascade reservoirs operation in flood control and power generation. And the results have been applied in the optimal operation of Baishan-Fengman cascade reservoirs system. In this paper, the main research work and research methods are described as:(1) Aiming at the optimal operation of the cascade reservoirs system flood control that should consider both the upstream and downstream of the actual requirement, this paper builds a multi-objective optimal operation model of cascade reservoirs system flood control, making minimizing the total maximum cascade reservoirs system capacity accounted for and minimizing the maximum discharge of the downstream reservoir of the cascade reservoirs system as the model of two contradictory and competitive goals. Then the study presents a new intelligent algorithm, NSGA-Ⅲ algorithm, which inherits the NSGA-Ⅱ algorithm. The application of the algorithm to the cascade reservoirs optimal scheduling model is established and solved; the model was validated by the case study of Baishan-Fengman cascade reservoirs, and achieved satisfactory and results with practical engineering.(2) The first analysis of the basic principle of discrete differential dynamic programming algorithm (DDDP) and grey system forecast model, aiming at the shortcoming of discrete differential dynamic programming algorithm, the introduction of grey system prediction model to improve it, put forward gray discrete differential dynamic programming algorithm GDDDP. This algorithm retains the characteristics of the small range of discrete differential dynamic programming. At the same time, it improves the computational efficiency of the algorithm through the prediction model of the grey system to the optimal solution. Then, for cascade reservoirs in long term generation scheduling problem, the establishment of the mathematical model, grey discrete differential dynamic programming algorithm for solving model, and unifies the example to carry on the verification and analysis of model method. The simulation results show that the grey discrete differential dynamic programming algorithm can obtain satisfactory results in the optimal operation of the Baishan-Fengman reservoirs, which can improve the efficiency of the power generation and has a certain practicality.(3) By using of modern computer technology, the multi-objective flood control and power generation optimal operation of cascade reservoirs are integrated together in this pater. And cascade reservoirs optimal scheduling system are built to play the role of guidance of cascade reservoirs operation scheduling. B/s system architecture without the need for special to install the client program, with the business expansion, easy maintenance, and other advantages. Therefore, this paper based on B/S architecture as the basic frame, the reservoir operation business logic design process resource model, realizes to lightweight JSON for data transmission of restful Web Service system, and its application in Baishan-Fengman cascade reservoirs optimal scheduling system is developed.