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| Short-term generation planning of cascade hydropower station in Jinxi River Basin |
| WANG Chaojie1, GUO Huijuan2*, LIU Zhijia3 |
| 1. Fujian Huadian Jinhu Electric Power Co. Ltd., Sanming, Fujian 353300, China; 2. College of Energy and Electrical Engineering, Hohai University, Nanjing, Jiangsu 211100, China; 3. Huadianfu New Energy Co. Ltd., Chitan Hydraulic Power Plant, Sanming, Fujian 354400, China |
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Abstract In order to solve the cascade hydropower station scheduling problems caused by nonlinear, non-convex, multi-constrained, and complex time-space coupling, reduce the water consumption rate, and improve the economic benefits and operation level of the entire cascade hydropower station group, the Jinxi River Basin was taken as the research object, the constraints such as power grid requirements and unit safety were fully considered, dynamic planning algorithms and intelligent algorithms were integrated and gradually optimized to achieve the refined preparation of the daily po-wer generation plan. Compared with the actual operation results, it can be seen that after the optimization algorithm is used for optimal dispatching, the hydropower station generates electricity.The amount of electricity has been increased to a certain extent, and the increase of electricity is about 2.7% to 3.4%. Based on the system engineering theory and optimization algorithms, the in-plant load distribution and unit combination problems of cascaded power stations were studied. Based on system enginee-ring theory and optimization algorithms, an optimization model of unit start-up and shutdown and load adjustment to meet the multi-objective constraints of hydropower transmission safety and equipment safety management was established. The target was the minimum water rate. The load was decomposed to each unit of the power station, and the unit power output process is calculated. In actual operation, the power station exceeds the daily power generation output, and it is fully used within the deviation assessment range. The feasibility and rationality of the model are verified by an example.
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Received: 16 December 2019
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