Optimal Allocation of Wind and Solar based Distributed Generation in a Radial Distribution System

SAMBAIAH SAMPANGI KOLA, JAYABARATHI T

Abstract


Decentralized power generation from renewable energy sources (RES) is a long-term solution that addresses present environmental threats because of its widespread availability, sustainability, nonpolluting generation, and eco-friendliness. The most widely used renewable distributed generation (RDG) is wind turbine (WT) and solar photovoltaic (PV) systems. But power generated from WT and solar PV systems is intermittent. Since wind speed and solar irradiance have random nonlinear generation patterns a suitable probabilistic method is adopted to model these uncertainties. A new hybrid grey wolf optimizer (HGWO) algorithm is proposed for optimal allocation of WT and solar PV systems in a distribution network considering the following constraints: discrete DG size limits, DG penetration limits, line loading capacity, and bus voltage stability limits. The proposed method is tested on a 28-bus Indian distribution network which is located in Kakdwip, India. The results obtained by the proposed HGWO algorithm are presented and compared with the existing particle swarm optimization (PSO) algorithm and found to be better.

Keywords


Renewable Energy Source, Optimal DG Allocation, Metaheuristic Optimization, Hybrid Grey Wolf Optimizer, Wind and Solar DG, Renewable Distributed Generation

Full Text:

PDF

References


Diaf S, Diaf D, Belhamel M, Haddadi M, Louche A, “A methodology for optimum sizing of autonomous hybrid PV/wind systemâ€, Energy Policy, vol. 35, pp. 5708-18, 2007.

Ekren O, Ekren BY, “Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealingâ€, Appl Energy, vol. 87, pp. 592-8, 2010.

Zhou W, Lou C, Li Z, Lu L, Yang H, “Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systemsâ€, Appl Energy, vol. 87, pp. 380-9, 2010.

Viral R, Khatod DK, “Optimal planning of distributed generation systems in distribution system: a reviewâ€, Renewable and Sustainable Energy Reviews, vol. 16, pp. 5146-65, 2012.

Kaabeche A, Belhamel M, Ibtiouen R, “Techno-economic valuation and optimization of integrated photovoltaic/wind energy conversion systemâ€, Solar Energy, vol. 85, pp. 2407-20, 2011.

Abri RSA, El-Saadany EF, Atwa YM, “Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generationâ€, IEEE Trans Power Syst, vol. 28, pp. 326-34, 2013.

Ochoa LF, Padilha-Feltrin A, Harrison GP, “Evaluating distributed generation impacts with a multi-objective indexâ€, IEEE Trans Power Del, vol. 21, pp. 1452-8, 2006.

Celik AN, “Techno-economic analysis of autonomous PV-wind hybrid energy systems using different sizing methodsâ€, Energy Convers Manage, vol. 44, pp. 1951-68, 2003.

Yang H, Lu L, Zhou W, “A novel optimization sizing model for hybrid solar wind power generation systemâ€, Solar Energy, vol. 81, pp. 76-84, 2007.

Sreeraj ES, Chatterjee K, Bandyopadhyay S, “Design of isolated renewable hybrid power systemsâ€, Solar Energy, vol. 84, pp. 1124-36, 2010.

Koutroulis E, Kolokotsa D, Potirakis A, Kalaitzakis K, “Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithmsâ€, Solar Energy, vol. 80, pp. 1072-88, 2006.

Yang H, Zhou W, Chengzhi L., “Optimal design and techno-economic analysis of a hybrid solar-wind power generation systemâ€, Appl Energy, vol. 86, pp. 163-9, 2009.

Mikati M, Santos M, Armenta C., “Electric grid dependence on the configuration of a small-scale wind and solar power hybrid systemâ€, Renewable Energy, vol. 57, pp. 587-93, 2013.

Khatod DK, Pant V, Sharma J, “Evolutionary programming based optimal placement of renewable distributed generatorsâ€, IEEE Trans Power Syst, vol. 28, pp. 683-95, 2013.

Kayal P, Chanda CK., “Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution networkâ€, Renewable Energy, vol. 75, pp. 173-86, 2015.

Jayabarathi T, Raghunathan T, Adarsh BR, Nagaratnam P., “Economic dispatch using hybrid grey wolf optimizerâ€, Energy, vol. 111, pp. 630-41, 2016.

Sanjay R, Jayabarathi T, Raghunathan T, Ramesh V, Mithulananthan N., “Optimal allocation of distributed generation using hybrid grey wolf optimizerâ€, IEEE Access, vol. 5, pp. 14807-18, 2017.

Atwa YM, El-Saadany EF, Salama MMA, Seethapathy R., “Optimal renewable resources mix for distribution system energy loss minimizationâ€, IEEE Trans Power Syst, vol. 25, pp. 360-70, 2010.

Evangelopoulos VA, Georgilakis PS., “Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithmâ€, IET Generation, Transmission & Distribution, vol. 8, pp. 389-400, 2014.

Singh RK, Goswami SK. “Multi-objective Optimization of Distributed Generation Planning Using Impact Indices and Trade-off Techniqueâ€, Electr Power Compon Syst, vol. 39, pp. 1175-90, 2011.

S. Mirjalili, S.M. Mirjalili, and A. Lewis, "Grey wolf optimizer," Advances in Engineering Software, vol. 69, pp. 46-61, 2014.

Hung DQ, Mithulananthan N, Bansal RC., “Integrating of PV and BES units in commercial distribution systems considering energy loss and voltage stabilityâ€, Appl Energy, vol. 113, pp. 1162-70, 2014.

Kayal P, Chanda CK.,†Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvementâ€, Elect Power Energy Syst, vol. 53, pp. 795-809, 2013.

Rezaei M, Moradi MH, Amini MH. “A simultaneous approach for optimal allocation of renewable energy sources and electric vehicle charging stations in smart grids based on improved GA- PSO algorithmâ€, Sustain Cities Soc, vol. 32, pp. 627-37, 2017.

Das S, Suganthan PN., “Differential Evolution: A Survey of the state-of-the-artâ€, IEEE Transactions on Evolutionary Computation vol. 15, pp. 4-31, 2011.

Hossein A, Hossein A., “Krill herd: A new bio-inspired optimization algorithmâ€, Commun Nonlinear Sci Numer Simul, vol. 17, pp. 4831-45, 2012.

Teng J., “A Direct Approach for Distribution System Load Flow Solutionsâ€, IEEE Trans on Power Deli, vol. 18, pp. 882-7, 2003.




DOI (PDF): https://doi.org/10.20508/ijrer.v9i1.8453.g7564

Refbacks



Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4