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Multi-objective optimal scheduling of power system considering the coordinated operation of photovoltaic-wind-pumped storage hybrid power

机译:考虑风光互补混合发电的电力系统多目标最优调度

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In order to improve the utilization of photovoltaic-wind power system and reduce wind power curtailment, this paper proposes an integrated operation optimization scheduling strategy considering the photovoltaic-wind-pumped storage hybrid power, which is based on coordinated operation of wind power and the pumped storage hydro power station. Through load shifting performance of pumped storage hydro unit, volatility of photovoltaic-wind power system can be alleviated. Based on this, this paper establishes a multi-objective optimization scheduling model which considers unit generation cost and pollutant emission. Non-dominated sorting genetic algorithm (NSGA-II) is adopted to solve the model. Numerical results show comprehensive optimality of both economic and environmental benefits. The rationality and effectiveness of the proposed model and algorithm is verified.
机译:为了提高光伏风电系统的利用率,减少风电的削减,提出了一种基于风电与抽水机协同运行的光伏风电储能混合动力的综合运行优化调度策略。蓄水电站。通过抽水蓄能机组的负荷转移性能,可以减轻光伏风力发电系统的波动性。在此基础上,建立了考虑单位发电成本和污染物排放的多目标优化调度模型。该模型采用非支配排序遗传算法(NSGA-II)。数值结果显示了经济和环境效益的综合优化。验证了所提模型和算法的合理性和有效性。

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