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Robust scheduling of variable wind generation by coordination of bulk energy storages and demand response

机译:通过协调大容量储能和需求响应,对可变风力发电进行稳健的调度

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The intermittent nature of wind generation will lead to greater demands for operational flexibility. Traditionally, reserves came from conventional power plants provide the majority of additional required flexibility leading to higher efficiency losses due to technical restrictions of such units. Recently, demand response programs and emerging utility-scale energy storages gained much attention as other flexible options. Under this perspective, this paper proposes a robust optimization scheduling framework to derive an optimal unit commitment decision in systems with high penetration of wind power incorporating demand response programs as well as bulk energy storages in co-optimized energy and reserve markets. In this regard, an improved demand response model is presented using the economic model of responsive loads based on customer's behavior concept that gives choice right opportunity to customers in order to participate in their desired demand response strategy. Moreover, bulk energy storages are considered to be as active market participants. Computational results demonstrate how coordinated operation of different type of demand response programs and bulk energy storages can help accommodate wind power uncertainty from the economic and technical points of view. (C) 2015 Elsevier Ltd. All rights reserved.
机译:风力发电的间歇性将导致对运行灵活性的更高要求。传统上,来自常规发电厂的储备提供了所需的大多数其他灵活性,由于此类设备的技术限制,导致更高的效率损失。最近,需求响应计划和新兴的公用事业规模的储能作为其他灵活的选择受到了广泛关注。在这种观点下,本文提出了一个鲁棒的优化调度框架,以在结合需求响应程序以及共同优化的能源和储备市场中的大容量储能的风电高渗透率系统中得出最优机组承诺决策。在这方面,使用基于客户行为概念的响应负载的经济模型,提出了一种改进的需求响应模型,该行为模型为客户提供了选择权机会,以便参与其所需的需求响应策略。此外,大容量储能被认为是活跃的市场参与者。计算结果表明,从经济和技术角度来看,不同类型的需求响应程序和大容量储能的协调运行如何能够帮助适应风电不确定性。 (C)2015 Elsevier Ltd.保留所有权利。

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