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首页> 外文会议>2011 43rd North American Power Symposium >Optimal scheduling and operation of load aggregators with electric energy storage facing price and demand uncertainties
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Optimal scheduling and operation of load aggregators with electric energy storage facing price and demand uncertainties

机译：具有价格和需求不确定性的电能存储的负载聚合器的优化调度和运行

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摘要

In competitive power markets, with increasing penetration of variable renewable energy resources such as wind power, electricity price becomes more uncertain. In distribution systems, adoption of renewable distributed generation technologies adds another dimension of uncertainty in load forecast. Facing these higher price and load uncertainties, it becomes more challenging for load aggregators to manage their electricity cost. Within this context, this paper presents a Model Predictive Control (MPC)-based scheduling and operation strategy for the load aggregator with electric energy storage (EES) to manage electricity cost in day-ahead and real-time power markets with different levels of price and load uncertainties. Price and load forecasts are actively integrated into the scheduling and operation decision making process to determine the optimal operation. Two other strategies are also discussed and studied for comparison. Case studies demonstrate better performance of the proposed MPC-based strategy compared to the other two strategies facing different levels of price and load uncertainties. The MPC-based strategy is also shown to be robust with the increase of price and load uncertainties. The benefit of energy arbitrage with MPC-based strategy is also illustrated.
机译：在竞争激烈的电力市场中，随着风能等可变可再生能源的普及程度的提高，电价变得更加不确定。在配电系统中，采用可再生分布式发电技术增加了负荷预测不确定性的另一个方面。面对这些更高的价格和负载不确定性，负载聚合商管理其电力成本变得更具挑战性。在此背景下，本文提出了一种基于模型预测控制（MPC）的调度和运行策略，用于带有电能存储（EES）的负载聚合器，以管理日间和实时电力市场中不同价格水平的电费和负载的不确定性。价格和负荷预测被积极地集成到调度和操作决策过程中，以确定最佳操作。还讨论了另外两种策略，并进行了比较研究。案例研究表明，与其他两种面临不同价格和负载不确定性水平的策略相比，基于MPC的策略具有更好的性能。随着价格和负载不确定性的增加，基于MPC的策略也显示出强大的功能。还说明了基于MPC的策略进行能源套利的好处。

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