Increasing the Hosting Capacity for Renewable Energy in Distribution Networks

被引:0
作者
Macedo, Leonardo H. [1 ]
Franco, John F. [1 ]
Romero, Ruben [1 ]
Ortega-Vazquez, Miguel A. [2 ]
Rider, Marcos J. [3 ]
机构
[1] Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, Brazil
[2] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA
[3] Univ Estadual Campinas, Dept Syst & Energy, Campinas, SP, Brazil
来源
2017 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT) | 2017年
基金
巴西圣保罗研究基金会;
关键词
Terms Distribution networks; energy storage; mixed-integer linear programming; photovoltaic generation; stochastic optimization; OPTIMAL ALLOCATION; WIND POWER; DISTRIBUTION-SYSTEMS; HIGH PENETRATION; STORAGE SYSTEM; UNCERTAINTY; INTEGRATION; GENERATION; BALANCE; ESS;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Environmental concerns and the need to decarbonize the supply side of power systems are spurring the integration of renewable energy sources (RES). Consequently, an unprecedented increase of RES, particularly photovoltaic (PV) systems, has been observed in distribution grids. However, PV generation is weather-driven, and therefore its power production peak does not necessarily coincide with the peak demand. Therefore, large amounts of cheap renew able generation are usually spilled. This paper proposes a method for optimal allocation and sizing of energy storage systems (ESSs) to increase hosting capacity of PV generation in distribution networks. Moreover, network reinforcement and capacitor bank allocation are also considered. The problem is modeled using stochastic mixed-integer linear programming in which PV generation and demand arc represented via scenarios. A 20-node test system is used to demonstrate the effectiveness of the proposed approach and to analyze the role of ESSs to improve the hosting capacity of RES.
引用
收藏
页数:5
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