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Distributed energy resource and network expansion planning of a CCHP based active microgrid considering demand response programs

机译:考虑需求响应计划的基于CCHP的活性微电网的分布式能源和网络扩展规划

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This paper addresses the network expansion planning of an active microgrid that utilizes Distributed Energy Resources (DERs). The microgrid uses Combined Cooling, Heating and Power (CCHP) systems with their heating and cooling network. The proposed method uses a bi-level iterative optimization algorithm for optimal expansion and operational planning of the microgrid that consists of different zones, and each zone can transact electricity with the upward utility. The transaction of electricity with the upward utility can be performed based on demand response programs that consist of the time-of-use program and/or direct load control. DERs are CHPs, small wind turbines, photovoltaic systems, electric and cooling storage, gas fired boilers and absorption and compression chillers are used to supply different zones' electrical, heating, and cooling loads. The proposed model minimizes the system's investment, operation, interruption and environmental costs; meanwhile, it maximizes electricity export revenues and the reliability of the system. The proposed method is applied to a real building complex and five different scenarios are considered to evaluate the impact of different energy supply configurations and operational paradigm on the investment and operational costs. The effectiveness of the introduced algorithm has been assessed. The implementation of the proposed algorithm reduces the aggregated investment and operational costs of the test system in about 54.7% with respect to the custom expansion planning method. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本文解决了利用分布式能源(DERs)的活动微电网的网络扩展规划。 MicroGrid使用具有加热和冷却网络的组合冷却,加热和功率(CCHP)系统。所提出的方法使用双级迭代优化算法进行不同区域的MicroGrid的最佳扩展和操作计划,每个区域都可以通过向上实用程序进行电力。可以基于由使用时间的程序和/或直接负载控制组成的需求响应程序来执行具有向上实用程序的电力交易。 DER是CHP,小型风力涡轮机,光伏系统,电气和冷却储存,燃气燃烧锅炉和吸收和压缩冷却器用于提供不同的区域电气,加热和冷却载荷。拟议模型最大限度地减少了系统的投资,运营,中断和环境成本;同时,它最大限度地提高了电力出口收入和系统的可靠性。所提出的方法应用于真正的建筑复合体,并考虑了五种不同的场景来评估不同能量供应配置和运营范例对投资和运营成本的影响。已经评估了引入的算法的有效性。在定制扩展规划方法方面,该算法的实施降低了测试系统的汇总投资和运营成本约54.7%。 (c)2019 Elsevier Ltd.保留所有权利。

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