Abstract
This paper proposes a multi-objective optimization method for the start-up strategy of pumped storage units (PSU) for the first time. In the multi-objective optimization method, the speed rise time and the overshoot during the process of the start-up are taken as the objectives. A precise simulation platform is built for simulating the transient process of start-up, and for calculating the objectives based on the process. The Multi-objective Particle Swarm Optimization algorithm (MOPSO) is adopted to optimize the widely applied start-up strategies based on one-stage direct guide vane control (DGVC), and two-stage DGVC. Based on the Pareto Front obtained, a multi-objective decision-making method based on the relative objective proximity is used to sort the solutions in the Pareto Front. Start-up strategy optimization for a PSU of a pumped storage power station in Jiangxi Province in China is conducted in experiments. The results show that: (1) compared with the single objective optimization, the proposed multi-objective optimization of start-up strategy not only greatly shortens the speed rise time and the speed overshoot, but also makes the speed curve quickly stabilize; (2) multi-objective optimization of strategy based on two-stage DGVC achieves better solution for a quick and smooth start-up of PSU than that of the strategy based on one-stage DGVC.
Highlights
In recent years, the fluctuation of power supply and load demand in power grids has become more and more severe, due to the large-scale integration of renewable energy and diversity of demand.In order to maintain the stability of the power grid, pumped-storage power station (PSPS) are developing rapidly in China, to undertake the peak shaving and valley filling, or other tasks in the power system
Bao et al designed an “open-closed loop” guide vane opening (GVO) trajectory, the results have shown that start-up process of the hydropower station is fast and smooth [4]
The sorting results of the particles in the Pareto Front of multi objective one‐stage method (MOOSM) and MOTSM are shown in the Table 4, in which, l1, l2 are required for the transient process
Summary
The fluctuation of power supply and load demand in power grids has become more and more severe, due to the large-scale integration of renewable energy and diversity of demand. Yang et al [6] improved the traditional “open-loop + closed-loop” control mode, and the simulation results shows that the controllability is greatly strengthened, which ensures a reasonable change of the rotation speed and volute pressure It ensures the rapidity and stability of start-up process under both maximum head and minimum head. The first advantage is that the multi-objective optimization method for start-up strategies can consider two contradictory objectives, such as quickness and control quality. The first advantage thatselected as the is studied for the first time,haswhile start-up indices on control quality isare the multi‐objective optimization method for start‐up strategies can consider two contradictory objectives. Calculation procedures of the simulation modelin canreference be seen in reference
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