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Optimal dispatching of power grid integrating wind-hydrogen systems
International Journal of Electrical Power & Energy Systems ( IF 5.0 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.ijepes.2020.106489
Fanrong Wei , Quan Sui , Xuesong Li , Xiangning Lin , Zhengtian Li

Abstract In power grid integrating wind-hydrogena systems, the power balance constraints may result in large-scale wind curtailment during the valley-load period. Additionally, the classic two-stage dispatching strategy cannot evaluate the real-time hydrogen-production efficiency loss in the day-ahead stage, while the one-stage dispatching method will result in computation difficulty or a non-optimal result with or without the full-scale prediction horizon. To address this problem, a novel dispatching strategy is presented in this paper. Considering the electricity and heat demand for hydrogen production, a molten salt heat storage system (HSS) is used to improve the operational flexibility. The external characteristics of hydrogen production are modelled. On this basis, an efficiency-decision method that determines the optimal hydrogen production power is presented; thus, the decision-making variable number can be notably reduced. Considering the real-time power fluctuation, a novel energy dispatching model is proposed in the day-ahead stage to optimize efficiency decisions and thermal power units. Using linearization techniques, this model converted a classic mixed-integer quadratic programming (MIQP) problem and solved it efficiently. Simulation studies on an IEEE-30-node power grid integrating wind-hydrogen systems indicate that the proposed dispatching strategy can reduce the operational cost of the power grid by 4.4%. The results confirm the effectiveness of the proposed dispatching strategy.

中文翻译:

风氢系统一体化电网优化调度

摘要 在风氢一体化电网中,电力平衡约束可能导致谷荷期大规模弃风。此外,经典的两阶段调度策略无法评估日前阶段的实时制氢效率损失,而一级调度方法会导致计算困难或非最优结果,无论是否完整。 -scale 预测范围。为了解决这个问题,本文提出了一种新的调度策略。考虑到制氢的电力和热量需求,熔盐蓄热系统 (HSS) 用于提高操作灵活性。对制氢的外部特征进行建模。以这个为基础,提出了一种确定最佳制氢功率的效率决策方法;因此,可以显着减少决策变量数。考虑到实时功率波动,在日前阶段提出了一种新的能源调度模型,以优化效率决策和火电机组。该模型使用线性化技术转换了经典的混合整数二次规划 (MIQP) 问题并有效地解决了该问题。对集成风氢系统的 IEEE-30 节点电网的仿真研究表明,所提出的调度策略可以将电网的运行成本降低 4.4%。结果证实了所提出的调度策略的有效性。考虑到实时功率波动,在日前阶段提出了一种新的能源调度模型,以优化效率决策和火电机组。该模型使用线性化技术转换了经典的混合整数二次规划 (MIQP) 问题并有效地解决了该问题。对集成风氢系统的 IEEE-30 节点电网的仿真研究表明,所提出的调度策略可以将电网的运行成本降低 4.4%。结果证实了所提出的调度策略的有效性。考虑到实时功率波动,在日前阶段提出了一种新的能源调度模型,以优化效率决策和火电机组。该模型使用线性化技术转换了经典的混合整数二次规划 (MIQP) 问题并有效地解决了该问题。对集成风氢系统的 IEEE-30 节点电网的仿真研究表明,所提出的调度策略可以将电网的运行成本降低 4.4%。结果证实了所提出的调度策略的有效性。对集成风氢系统的 IEEE-30 节点电网的仿真研究表明,所提出的调度策略可以将电网的运行成本降低 4.4%。结果证实了所提出的调度策略的有效性。对集成风氢系统的 IEEE-30 节点电网的仿真研究表明,所提出的调度策略可以将电网的运行成本降低 4.4%。结果证实了所提出的调度策略的有效性。
更新日期:2021-02-01
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