{"title":"基于算法优化的BESS与光伏逆变器优化协调在配电网中实现CVR","authors":"Mojtaba Ahanch, R. McCann","doi":"10.1109/NAPS52732.2021.9654489","DOIUrl":null,"url":null,"abstract":"This article proposes a new framework for the substation demand reduction and power loss minimization in distribution networks by implementing conservation voltage reduction (CVR) strategy. The proposed framework coordinates Battery Energy Storage Systems (BESS), Smart PV inverters and voltage control devices-including OLTC and voltage regulators- so that the substation demand and network power loss are reduced while the service voltage range meets the IEEE 1547 standard (120-114 V). The suggested CVR strategy is applied to the IEEE 34-bus case study system consisting of two PV generations and BESS. The smart PV inverters are controlled based on the combined Volt/VAr-Volt/Watt (VVW) characteristics scheme. Also, BESS is charged and discharged with regard to the time and peakshave control modes, respectively. The Arithmetic Optimization Algorithm (AOA) is implemented in MATLAB scripts for solving the optimization problem. Power flow studies are carried out using OpenDSS software. Results reveal that the new framework can achieve higher substation demand reduction considering the concurrent control of PVs and BESS.","PeriodicalId":123077,"journal":{"name":"2021 North American Power Symposium (NAPS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Implementation of CVR in Distribution Networks by Optimal Coordination of BESS and PV Inverters Using Arithmetic Optimization Algorithm\",\"authors\":\"Mojtaba Ahanch, R. McCann\",\"doi\":\"10.1109/NAPS52732.2021.9654489\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article proposes a new framework for the substation demand reduction and power loss minimization in distribution networks by implementing conservation voltage reduction (CVR) strategy. The proposed framework coordinates Battery Energy Storage Systems (BESS), Smart PV inverters and voltage control devices-including OLTC and voltage regulators- so that the substation demand and network power loss are reduced while the service voltage range meets the IEEE 1547 standard (120-114 V). The suggested CVR strategy is applied to the IEEE 34-bus case study system consisting of two PV generations and BESS. The smart PV inverters are controlled based on the combined Volt/VAr-Volt/Watt (VVW) characteristics scheme. Also, BESS is charged and discharged with regard to the time and peakshave control modes, respectively. The Arithmetic Optimization Algorithm (AOA) is implemented in MATLAB scripts for solving the optimization problem. Power flow studies are carried out using OpenDSS software. Results reveal that the new framework can achieve higher substation demand reduction considering the concurrent control of PVs and BESS.\",\"PeriodicalId\":123077,\"journal\":{\"name\":\"2021 North American Power Symposium (NAPS)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 North American Power Symposium (NAPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAPS52732.2021.9654489\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS52732.2021.9654489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
本文提出了一种通过实施节能降压(CVR)策略来实现配电网变电站需求降低和功率损耗最小化的新框架。提出的框架协调电池储能系统(BESS)、智能光伏逆变器和电压控制设备(包括OLTC和电压调节器),从而在满足IEEE 1547标准(120-114 V)的情况下降低变电站需求和网络功率损耗。建议的CVR策略应用于由两代光伏发电和BESS组成的IEEE 34总线案例研究系统。智能光伏逆变器是基于伏特/ var -伏特/瓦特(VVW)组合特性方案进行控制的。此外,BESS分别根据时间和峰值控制模式进行充电和放电。在MATLAB脚本中实现了算术优化算法(AOA)来求解优化问题。利用OpenDSS软件进行潮流研究。结果表明,考虑到光伏和BESS的并行控制,新框架可以实现更高的变电站需求降低。
Implementation of CVR in Distribution Networks by Optimal Coordination of BESS and PV Inverters Using Arithmetic Optimization Algorithm
This article proposes a new framework for the substation demand reduction and power loss minimization in distribution networks by implementing conservation voltage reduction (CVR) strategy. The proposed framework coordinates Battery Energy Storage Systems (BESS), Smart PV inverters and voltage control devices-including OLTC and voltage regulators- so that the substation demand and network power loss are reduced while the service voltage range meets the IEEE 1547 standard (120-114 V). The suggested CVR strategy is applied to the IEEE 34-bus case study system consisting of two PV generations and BESS. The smart PV inverters are controlled based on the combined Volt/VAr-Volt/Watt (VVW) characteristics scheme. Also, BESS is charged and discharged with regard to the time and peakshave control modes, respectively. The Arithmetic Optimization Algorithm (AOA) is implemented in MATLAB scripts for solving the optimization problem. Power flow studies are carried out using OpenDSS software. Results reveal that the new framework can achieve higher substation demand reduction considering the concurrent control of PVs and BESS.