{"title":"Storage commitment and placement for an interconnected island system with high wind penetration, Gotland","authors":"A. Erduman, B. Uzunoğlu","doi":"10.1109/ICRERA.2014.7016456","DOIUrl":null,"url":null,"abstract":"The objective of this study is to investigate storage commitment and storage placement problem for island system that has intermittency of wind power generation in a diurnal wind pattern. This objective will be achieved through minimization of cost while conducting Optimal Power Flow (OPF) analysis Fu, Shahidehpour, and Li (2006). In addition to the methodology introduced by Fu et al. (2006) and Wang, Shahidehpour, and Li (2008), impact of storage will be implemented in this model to generation and demand to analysis the dispatching electric storage systems based on different intermittent generation scenarios for an island system while addressing optimal placement. The case studied in this paper which is Gotland Island has a project in place to upgrade the existing power system to a smart grid. Regional weak power grid and a combination of wind power generation, household loads and some major industries puts on challenges on the island grid structure. HVDC connection to the Swedish mainland balances the grid while in an emergency situation, emergency generators in the weak parts of grid are dispatched Ackermann (2005). Storage systems will be addressed through their contributions to demand or generation implemented. Optimal placement of storage will be implemented through the objectives of minimizing cost of generation Bose, Gayme, Topcu, and Chandy (2012) Ghofrani, Arabali, Etezadi-Amoli, and Fadali (2013) while addressing transmission line constraints. The solutions will be analyzed based on scenarios for the hourly volatility of wind power in simulated diurnal scenarios Fu et al. (2006) and Wang et al. (2008). Storage problem will be formulated as part of the cost optimization problem with the relevant power system and equipment constraints.","PeriodicalId":243870,"journal":{"name":"2014 International Conference on Renewable Energy Research and Application (ICRERA)","volume":"30 22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Renewable Energy Research and Application (ICRERA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRERA.2014.7016456","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The objective of this study is to investigate storage commitment and storage placement problem for island system that has intermittency of wind power generation in a diurnal wind pattern. This objective will be achieved through minimization of cost while conducting Optimal Power Flow (OPF) analysis Fu, Shahidehpour, and Li (2006). In addition to the methodology introduced by Fu et al. (2006) and Wang, Shahidehpour, and Li (2008), impact of storage will be implemented in this model to generation and demand to analysis the dispatching electric storage systems based on different intermittent generation scenarios for an island system while addressing optimal placement. The case studied in this paper which is Gotland Island has a project in place to upgrade the existing power system to a smart grid. Regional weak power grid and a combination of wind power generation, household loads and some major industries puts on challenges on the island grid structure. HVDC connection to the Swedish mainland balances the grid while in an emergency situation, emergency generators in the weak parts of grid are dispatched Ackermann (2005). Storage systems will be addressed through their contributions to demand or generation implemented. Optimal placement of storage will be implemented through the objectives of minimizing cost of generation Bose, Gayme, Topcu, and Chandy (2012) Ghofrani, Arabali, Etezadi-Amoli, and Fadali (2013) while addressing transmission line constraints. The solutions will be analyzed based on scenarios for the hourly volatility of wind power in simulated diurnal scenarios Fu et al. (2006) and Wang et al. (2008). Storage problem will be formulated as part of the cost optimization problem with the relevant power system and equipment constraints.
本研究的目的是探讨在日风模式下具有风力发电间歇性的岛屿系统的蓄电承诺和蓄电配置问题。这一目标将通过在进行最优潮流(OPF)分析时实现成本最小化来实现(Fu, Shahidehpour和Li, 2006)。除了Fu et al.(2006)和Wang, Shahidehpour, and Li(2008)介绍的方法外,该模型还将引入存储对发电和需求的影响,以分析基于岛屿系统不同间歇发电方案的调度电力存储系统,同时解决最优配置问题。本文研究的案例是哥特兰岛,它有一个将现有电力系统升级为智能电网的项目。区域性弱电网以及风力发电、家庭负荷和一些主要产业的结合对海岛电网结构提出了挑战。与瑞典大陆的高压直流输电连接平衡电网,而在紧急情况下,电网薄弱部分的应急发电机被调度(Ackermann(2005))。存储系统将通过其对需求或发电的贡献来解决问题。最佳的存储位置将通过最小化发电成本的目标来实现,Bose, Gayme, Topcu, and Chandy (2012), Ghofrani, Arabali, Etezadi-Amoli, and Fadali(2013),同时解决传输线的限制。本文将根据Fu et al.(2006)和Wang et al.(2008)在模拟日情景下风电小时波动的情景对解决方案进行分析。存储问题将在相关电力系统和设备约束下作为成本优化问题的一部分制定。