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Optimal siting and sizing of distributed energy storage systems via alternating direction method of multipliers

机译:通过乘数的交替方向法优化分布式储能系统的选址和规模

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Energy Storage Systems (ESSs) will have an important role in the optimal operation of Active Distribution Networks (ADNs). Within this context, this paper focuses on the problem of ESSs optimal siting and sizing. Following similar approaches already proposed by the Authors, this paper proposes a multi-objective procedure that accounts for various ancillary services that can be provided by ESSs to ADNs. The proposed procedure takes into account the voltage support and network losses minimization along with minimization of the cost of energy from external grid and congestion management. For the case of large-scale problems, accounting for networks with large number of nodes and scenarios, the selection of the solution methodology is a non-trivial problem. In this respect, the paper proposes and discusses the use of the Alternative Direction Method of Multipliers in order to define an efficient algorithm capable to treat large-scale networks and, also, address the issue of the optimality of the solution. A real large-scale network with real profiles of load and distributed photovoltaic generation is used as the case study to analyze the effectiveness of the proposed methodology. (C) 2015 Elsevier Ltd. All rights reserved.
机译:储能系统(ESS)在主动配电网(ADN)的最佳运行中将发挥重要作用。在此背景下,本文重点讨论ESS的最佳选址和选型问题。遵循作者已经提出的类似方法,本文提出了一种多目标程序,该程序考虑了ESS可以为ADN提供的各种辅助服务。拟议的程序考虑了电压支持和网络损耗的最小化以及外部电网和拥塞管理的能源成本的最小化。对于大规模问题,考虑到具有大量节点和场景的网络,解决方案方法的选择并非易事。在这方面,本文提出并讨论了乘数的交替方向方法的使用,以便定义一种能够处理大规模网络的有效算法,并解决解决方案的最优性问题。以具有负载和分布式光伏发电真实轮廓的真实大规模网络为案例研究,以分析所提出方法的有效性。 (C)2015 Elsevier Ltd.保留所有权利。

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