Reliability-Based Planning and Partitioning of Multiple Micro-Grid Considering Demand Side Response Program

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Hamid Amini Khanavandi, Majid Gandomkar, Javad Nikoukar
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Abstract

Todays, Micro-Grids (MGs) include various types of distributed energy resources such as Wind Turbines (WT), PhotoVoltaics (PVs), Energy Storage Systems (ESSs), Combined Heat and Power units (CHPs), and demand-responsive loads. The variable nature of WT and PV resources and single contingencies of CHP units jeopardize the reliability of MG's customers during operation periods. Demand-side response program manages the time-consumption pattern of responsive loads (RLs) to overcome these uncertainties. As a distribution network is often divided into multiple MGs therefore this paper proposes a bi-level reliability-based model for the planning and partitioning of them in presence of RLs. At the first level, Tie Switches (TSs) and energy resources placement are determined to meet the annual peak demand to minimize the total costs. Output results of first level feed to next level as input data until the power exchange between MGs and the upstream distribution system and also RLs participation considering the desirable risk for all MGs customers are optimally calculated to maximize multiple MGs benefit. Since the second-level outputs can affect on first-level results, a bi-level model is applied. A genetic algorithm is used to solve each level's problem. For validation, numerical studies are applied to a 25-Bus test distribution network with three MGs and five TSs. The simulation results show that MG planning in islanded mode causes more investment costs depending on the installation of DERs with higher capacities. In addition, the participation of RLs in planning islanded or grid-connected MGs leads to a significant decrease in the system investment and operation, loss, and reliability costs.

Abstract Image

基于可靠性的多微网规划与分区(考虑需求侧响应计划
如今,微型电网 (MG) 包括各种类型的分布式能源,如风力涡轮机 (WT)、光伏 (PV)、储能系统 (ESS)、热电联产机组 (CHP) 和需求响应型负载。风电和光伏资源的可变性以及热电联产机组的单一突发事件在运行期间危及 MG 客户的可靠性。需求侧响应计划管理响应负荷 (RL) 的时间消耗模式,以克服这些不确定性。由于配电网络通常分为多个 MG,因此本文提出了一种基于可靠性的两级模型,用于在存在 RL 的情况下对 MG 进行规划和分区。在第一级,确定纽带开关(TS)和能源资源的位置,以满足年度峰值需求,最大限度地降低总成本。第一级的输出结果作为输入数据输入到下一级,直到 MG 与上游配电系统之间的电力交换以及 RL 的参与(考虑到所有 MG 客户的理想风险)得到优化计算,从而实现多个 MG 的利益最大化。由于第二级输出会影响第一级结果,因此采用了双级模型。采用遗传算法解决每个层次的问题。为了进行验证,对一个有三个 MG 和五个 TS 的 25 总线测试配电网络进行了数值研究。模拟结果表明,孤岛模式下的 MG 规划会导致更高的投资成本,这取决于安装更高容量的 DER。此外,在规划孤岛式或并网式 MG 时,RL 的参与可显著降低系统投资、运行、损耗和可靠性成本。
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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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