Wind Turbines Allocation in Smart Grids

被引:0
作者
Siano, Pierluigi [1 ]
Piccolo, Antonio [1 ]
Rigatos, Gerasimos [2 ]
机构
[1] Univ Salerno, Dept Ind Engn, I-84084 Fisciano, SA, Italy
[2] Ind Syst Inst, Unit Ind Automat, Patras 26504, Greece
来源
39TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2013) | 2013年
关键词
Active networks; smart grids; wind turbines; genetic algorithms; distributed generation; optimization methods; power generation planning; INTEGRATION; MICROGRIDS; OPERATION; NETWORKS; BENEFITS; POWER; OPF;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The existing passive distribution networks, characterized by unidirectional power flows and a partial and centralized control, limit optimal management of Renewable Energy Sources (RES), therefore restraining their exploitation. A deep revision of the planning and management methodologies for distribution electrical networks is therefore required due to the increasing penetration of RES in distribution electrical networks In order to overcome the integration problems of Distributed Generation (DG) and RES, existing electrical distribution networks will, therefore, evolve from passive to active networks and smart grids, managed through systems based on Information and Communication Technology (ICT). In this paper a hybrid optimization method able to maximize the Net Present Value related to the investment made by Wind Turbines developers in an active distribution network and smart grids is proposed. The method, that combines Genetic Algorithms with a multi-period optimal power flow, is validated on a 69-bus 11 kV radial distribution network.
引用
收藏
页码:7654 / 7659
页数:6
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