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

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.

[1]  Taher Niknam,et al.  A new approach for distribution state estimation based on ant colony algorithm with regard to distributed generation , 2005, J. Intell. Fuzzy Syst..

[2]  W.H. Tang,et al.  Optimal Harmonic Estimation Using A Particle Swarm Optimizer , 2008, IEEE Transactions on Power Delivery.

[3]  Taher Niknam,et al.  Intelligent stochastic framework to solve the reconfiguration problem from the reliability view , 2014 .

[4]  Abdollah Kavousi-Fard,et al.  Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices , 2013 .

[5]  Taher Niknam,et al.  A new enhanced bat-inspired algorithm for finding linear supply function equilibrium of GENCOs in the competitive electricity market , 2013 .

[6]  Ebrahim Farjah,et al.  An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties , 2013 .

[7]  Taher Niknam,et al.  Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty , 2014, IEEE Transactions on Power Delivery.

[8]  N.N. Schulz,et al.  A revised branch current-based distribution system state estimation algorithm and meter placement impact , 2004, IEEE Transactions on Power Systems.

[9]  H. Poor,et al.  Fully Distributed State Estimation for Wide-Area Monitoring Systems , 2012, IEEE Transactions on Smart Grid.

[10]  Xin-She Yang,et al.  Nature-Inspired Metaheuristic Algorithms , 2008 .

[11]  Reza Sedaghati,et al.  A hybrid fuzzy-PEM stochastic framework to solve the optimal operation management of distribution feeder reconfiguration considering wind turbines , 2014, J. Intell. Fuzzy Syst..

[12]  Yoshikazu Fukuyama,et al.  A Hybrid Particle Swarm Optimization for Distribution State Estimation , 2002, IEEE Power Engineering Review.

[13]  Abdollah Kavousi-Fard,et al.  Impact of plug-in hybrid electric vehicles charging demand on the optimal energy management of renewable micro-grids , 2014 .

[14]  Karen Nan Miu,et al.  Zonal load estimation studies in radial power distribution networks , 2002, 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat. No.02CH37353).

[15]  Taher Niknam,et al.  A new optimization algorithm for multi-objective Economic/Emission Dispatch , 2013 .

[16]  Hongbin Sun,et al.  A distributed state estimation method for power systems incorporating linear and nonlinear models , 2015 .

[17]  Renke Huang,et al.  Smart Grid Technologies for Autonomous Operation and Control , 2011, IEEE Transactions on Smart Grid.

[18]  Taher Niknam,et al.  Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants , 2012 .

[19]  A. K. Ghosh,et al.  Distribution circuit state estimation using a probabilistic approach , 1997 .

[20]  Taher Niknam,et al.  Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index , 2012 .

[21]  Taher Niknam,et al.  Impact of Fuel Cell Power Plants on Multi‐objective Optimal Operation Management of Distribution Network , 2012 .

[22]  V. Miranda,et al.  Fuzzy inference systems applied to LV substation load estimation , 2005, IEEE Transactions on Power Systems.

[23]  A. Menegaki Valuation for renewable energy: A comparative review , 2008 .

[24]  Hongbin Sun,et al.  Transition to a Two-Level Linear State Estimator—Part I: Architecture , 2011, IEEE Transactions on Power Systems.

[25]  Pavlos S. Georgilakis,et al.  Reliability and economic evaluation of small autonomous power systems containing only renewable energy sources. , 2009 .

[26]  Taher Niknam,et al.  A practical algorithm for distribution state estimation including renewable energy sources , 2009 .