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首页> 外文期刊>Trends in Ecology & Evolution >Further Optimized Scheduling of Micro Grids via Dispatching Virtual Electricity Storage Offered by Deferrable Power-Driven Demands
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Further Optimized Scheduling of Micro Grids via Dispatching Virtual Electricity Storage Offered by Deferrable Power-Driven Demands

机译：通过调度通过可推迟的功率驱动的需求提供的虚拟电网进行微网格的进一步优化调度

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摘要

Deferrable power-driven demands such as water and thermal ones possess a capability of energy storage which can be exploited to further optimize electric systems. This paper proposes a new optimized scheduling framework for electric grids by simultaneously exploiting the high-inertia thermal dynamics and lossless water storage. Unlike previous ideas in the literature, both water and thermal demands are managed to realize the long-term and short-term load-shifting strategies, respectively. First, distributed water/thermal loads are aggregated where the virtual storage can be represented by battery models. Then, a further optimized scheduling framework is proposed with a mixed-integer nonlinear programing problem. Comparative studies show that the water storage offers outstanding flexibility for electric system via pumps scheduling, especially for the electric load-shifting strategy in a long time-horizon thanks to the lossless water-storage process. Meanwhile, the thermal storage can directly support short-term electric load-shifting to avoid price spikes of electricity. Numerical results show that the proposed method can reduce the total cost of micro-grids by maximizing the usage of renewable energy sources, avoiding price spikes, and reducing dependence on high-cost centralized energy-storage facilities provided that the critical water-energy demands are preserved.
机译：可推迟的功率驱动的需求，例如水和热量的需求具有能量存储能力，这可以利用以进一步优化电系统。本文通过同时利用高惯性热动态和无损蓄水，为电网提供了新的优化调度框架。与以往的文献中的想法不同，水和热需求都设法分别实现了长期和短期负载转移策略。首先，将分布式的水/热负载聚合，其中虚拟存储可以由电池模型表示。然后，提出了一种具有混合整数非线性编程问题的进一步优化的调度框架。比较研究表明，由于无损储水过程，储水器通过泵调度为电动系统提供了突出的电力系统灵活性，特别是对于长时间地平线的电荷转换策略。同时，热储存可以直接支持短期电荷换档，以避免电力价格。数值结果表明，该方法可以通过最大限度地利用可再生能源，避免价格尖峰，减少对高成本集中的能量储存设施的依赖性来降低微电网的总成本，因为关键的水能需求是保存。

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