A new smart approach for state estimation of distribution grids considering renewable energy sources

被引:26
作者
Khorshidi, Reza [1 ]
Shabaninia, Faridon [1 ]
Niknam, Taher [2 ]
机构
[1] Sch Elect & Comp Engn, Engn Fac 1, Zand St, Shiraz, Iran
[2] Shiraz Univ Technol, Dept Elect & Elect Engn, Shiarz, Iran
关键词
SE (state estimation); RESs (smart grid; renewable energy sources); FA (firefly algorithm); DISTRIBUTION FEEDER RECONFIGURATION; PARTICLE SWARM OPTIMIZATION; STOCHASTIC FRAMEWORK; POWER-SYSTEMS; ALGORITHM; RELIABILITY; MANAGEMENT; LOAD; OPERATION; EMISSION;
D O I
10.1016/j.energy.2015.10.096
中图分类号
O414.1 [热力学];
学科分类号
摘要
The idea of smart grids has created new opportunities in the electrical networks for monitoring the system status. One of the valuable and significant techniques for monitoring the smart grids is state estimation. In this way, this paper proposes a sufficient state estimation algorithm for inclusive monitoring of the distribution systems in the presence of RESs (renewable energy sources). The proposed method is a hybrid technique using WLS (weighted least square) method and FA (firefly algorithm) to reach more reliable and accurate state estimation of the network. FA is equipped with new optimization operators that make it possible to solve the multi-modal problems using an automatic sub-division feature. In order to improve the overall search ability of the algorithm, a new two-phase modification method is proposed. The proposed hybrid method can estimate the voltage angle using the WLS method. The simulation results show more optimal cost function value with faster response with escaping from the several local optima of the problem. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:29 / 37
页数:9
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