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Decentralized foresighted energy purchase and procurement with renewable generation and energy storage

机译：具有可再生能源和储能功能的分散式预见能源采购和采购

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We study a power system with one independent system operator (ISO) who procures energy from energy generators, and decentralized aggregators who purchase energy from the ISO to serve their customers. With the penetration of renewable energy generation, the aggregators are adopting energy storage to deal with the high volatility in supply and prices. In the presence of energy storage, it is beneficial for all the entities (i.e. the ISO and aggregators) to make foresighted decisions (i.e. energy procurement decisions by the ISO and energy purchase decisions by the aggregators) to minimize their long-term costs. However, the optimal foresighted decision making is complicated mainly because the information required to make optimal decisions is decentralized among the entities. We propose a design framework in which the ISO provides each aggregator with a conjectured future price, and each aggregator distributively minimizes its own long-term cost based on its conjectured price as well as its local information. The proposed framework can achieve the social optimum despite the decentralized information among the entities. Simulation results demonstrate significant reduction in the total cost by the proposed foresighted energy purchase and procurement (EPP), compared to the optimal myopic EPP (up to 60% reduction), and the foresighted EPP based on the Lyapunov optimization framework (up to 30% reduction).
机译：我们研究了一个电力系统，该电力系统由一名独立的系统运营商（ISO）从能源生产商那里获取能源，而分散的聚合商则从ISO那里购买能源来为他们的客户提供服务。随着可再生能源发电的普及，聚集者正在采用储能技术来应对供应和价格的高波动性。在存在能量存储的情况下，有利于所有实体（即ISO和聚合商）做出有远见的决策（即ISO的能源采购决策和聚合器的能源购买决策）以最大程度地降低其长期成本。但是，最佳的有远见的决策制定很复杂，主要是因为制定最佳决策所需的信息分散在实体之间。我们提出了一个设计框架，其中ISO向每个聚合器提供一个推测的未来价格，并且每个聚合器根据其推测的价格及其本地信息分配性地最小化其自己的长期成本。尽管实体之间的信息分散，但所提出的框架仍可以实现社会最优。仿真结果表明，与最佳近视EPP（最多降低60％）和基于Lyapunov优化框架（最多30％）的预见能源相比，拟议的预见能源购买和采购（EPP）可以显着降低总成本减少）。

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