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

机译:考虑需求响应程序的基于CCHP的活动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:本文介绍了利用分布式能源(DER)的活动微电网的网络扩展计划。微电网将冷热电联产(CCHP)系统与它们的加热和冷却网络结合使用。所提出的方法使用双层迭代优化算法来优化由不同区域组成的微电网的扩展和运行规划,并且每个区域都可以向上使用电力进行交易。可以基于由使用时间程序和/或直接负载控制组成的需求响应程序来执行具有向上效用的电力交易。 DER是CHP,小型风力涡轮机,光伏系统,电力和冷却存储,燃气锅炉以及吸收式和压缩式冷却器,用于提供不同区域的电,热和冷负荷。所提出的模型使系统的投资,操作,中断和环境成本最小化;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实际的建筑群,并考虑了五种不同的情况,以评估不同的能源供应配置和运营范式对投资和运营成本的影响。已经评估了引入算法的有效性。相对于定制扩展计划方法,该算法的实施将测试系统的总投资和运营成本降低了约54.7%。 (C)2019 Elsevier Ltd.保留所有权利。

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