Optimal Planning With Technology Selection for Wind Power Plants in Power Distribution Networks

This paper proposes a comprehensive decision framework to optimally plan wind power plants (WPPs) with technology selection in the distribution network. The proposed framework aims to maximize the net present value (NPV) associated with the WPP investment over a given planning horizon for various bus locations. The proposed design accounts for various practical cost factors, historical data of wind speeds, and WPP installation restrictions due to territorial information, environmental considerations, and work constraints, in the decision making process of optimal planning and technology selection for WPP. The planning problem, which maximizes the NPV over the potential WPP installation locations, potential technologies, and the size of WPPs, is formulated as a constrained optimization problem. The proposed design is evaluated using case studies to test its concrete practices with a radial network of 33-bus distribution system.

[1]  Seyed Hossein Hosseinian,et al.  A comprehensive approach for wind turbine generation allocation with accurate analysis of load curtailment using nested programming , 2017 .

[2]  Chanan Singh,et al.  Optimal Wind Farm Allocation in Multi-Area Power Systems Using Distributionally Robust Optimization Approach , 2018, IEEE Transactions on Power Systems.

[3]  Peter Wall,et al.  Optimal Electric Network Design for a Large Offshore Wind Farm Based on a Modified Genetic Algorithm Approach , 2012, IEEE Systems Journal.

[4]  Wei-Jen Lee,et al.  Design Optimization of Wind Power Planning for a Country With Low–Medium-Wind-Speed Profile , 2007, IEEE Transactions on Industry Applications.

[5]  Pierre Pinson,et al.  Generation Expansion Planning With Large Amounts of Wind Power via Decision-Dependent Stochastic Programming , 2017, IEEE Transactions on Power Systems.

[6]  Lijun Zhang,et al.  Economic Allocation for Energy Storage System Considering Wind Power Distribution , 2015, IEEE Transactions on Power Systems.

[7]  Geev Mokryani,et al.  Active distribution networks planning with high penetration of wind power , 2017 .

[8]  Ming-Tang Tsai,et al.  A benefits analysis for wind turbine allocation in a power distribution system , 2013 .

[9]  Michela Robba,et al.  A decision support system for the optimal exploitation of wind energy on regional scale , 2012 .

[10]  Taher Niknam,et al.  Deterministic approach for active distribution networks planning with high penetration of wind and solar power , 2017 .

[11]  Dieu Ngoc Vo,et al.  A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems , 2018, Appl. Soft Comput..

[12]  L.F. Ochoa,et al.  Evaluating distributed generation impacts with a multiobjective index , 2006, IEEE Transactions on Power Delivery.

[13]  Ehab F. El-Saadany,et al.  DG allocation for benefit maximization in distribution networks , 2013, IEEE Transactions on Power Systems.

[14]  Birgitte Bak-Jensen,et al.  Optimal Allocation of Power-Electronic Interfaced Wind Turbines Using a Genetic Algorithm - Monte Carlo Hybrid Optimization Method , 2010 .

[15]  Abbas Rabiee,et al.  Multi-objective stochastic model for joint optimal allocation of DG units and network reconfiguration from DG owner’s and DisCo’s perspectives , 2019, Renewable Energy.

[16]  Dheeraj K. Khatod,et al.  Evolutionary programming based optimal placement of renewable distributed generators , 2013, IEEE Transactions on Power Systems.

[17]  David C. Yu,et al.  An Economic Dispatch Model Incorporating Wind Power , 2008, IEEE Transactions on Energy Conversion.

[18]  Abdelaziz Mimet,et al.  Sustainability of a wind power plant: Application to different Moroccan sites , 2010 .

[19]  Pierluigi Siano,et al.  Evaluating the Benefits of Optimal Allocation of Wind Turbines for Distribution Network Operators , 2015, IEEE Systems Journal.

[20]  Yuguang Fang,et al.  A Market Based Scheme to Integrate Distributed Wind Energy , 2013, IEEE Transactions on Smart Grid.

[21]  Graham Ault,et al.  Multi-objective planning framework for stochastic and controllable distributed energy resources , 2009 .

[22]  Chris T. Kiranoudis,et al.  Short-cut design of wind farms , 2001 .

[23]  Ehab F. El-Saadany,et al.  Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems , 2011 .

[24]  Pierluigi Siano,et al.  Strategic placement of distribution network operator owned wind turbines by using market-based optimal power flow , 2014 .

[25]  Ting Wu,et al.  Optimal planning and operation of energy storage systems in radial networks for wind power integration with reserve support , 2016 .

[26]  Birgitte Bak-Jensen,et al.  Stochastic Optimization of Wind Turbine Power Factor Using Stochastic Model of Wind Power , 2010, IEEE Transactions on Sustainable Energy.

[27]  Chris T. Kiranoudis,et al.  Effective short-cut modelling of wind park efficiency , 1997 .