Techno-economic and environmental approach for optimal placement and sizing of renewable DGs in distribution system

Abstract This paper presents an approach for optimal placement and sizing of dispatchable and non-dispatchable renewable distributed generators (DG) units in a radial distribution network. In this work, wind and solar energy based DG units are considered as non-dispatchable DG, while biomass energy based DG units are considered as dispatchable. The formulated multi-objective problem comprises of technical performance indices for real power loss, maximum branch current capacity, voltage deviation, environment impact reduction index; and economic index. The appropriate weighting factors for different indices has been decided by Analytic Hierarchy Process (AHP). To solve the developed formulation, Particle Swarm Optimization (PSO) based approach has been used and applied on a 51-bus distribution networks. Also, in order to validate the use of AHP, the prioritization to different indices leads to formation of four scenarios and results are obtained in terms of the technical, economic and environmental parameters. The results obtained by the proposed method have been compared with other multi-objective problems considering different weighting factors to the indices and emerged as a simple and efficient approach.

[1]  M. M. Aman,et al.  Optimal placement and sizing of a DG based on a new power stability index and line losses , 2012 .

[2]  R. Ramakumar,et al.  An approach to quantify the technical benefits of distributed generation , 2004, IEEE Transactions on Energy Conversion.

[3]  Aggelos S. Bouhouras,et al.  Optimal active and reactive nodal power requirements towards loss minimization under reverse power flow constraint defining DG type , 2016 .

[4]  A. Keane,et al.  Optimal allocation of embedded generation on distribution networks , 2005, IEEE Transactions on Power Systems.

[5]  L.F. Ochoa,et al.  Evaluating Distributed Time-Varying Generation Through a Multiobjective Index , 2008, IEEE Transactions on Power Delivery.

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

[7]  Majid Gandomkar,et al.  A straightforward approach to minimizing unsupplied energy and power loss through DG placement and evaluating power quality in relation to load variations over time , 2011 .

[8]  Yong Qian,et al.  Review of the state-of-the-art of biogas combustion mechanisms and applications in internal combustion engines , 2017 .

[9]  Luis Ochoa,et al.  Minimizing Energy Losses: Optimal Accommodation and Smart Operation of Renewable Distributed Generation , 2011, IEEE Transactions on Power Systems.

[10]  M. F. Astudillo,et al.  Assessing the life cycle environmental benefits of renewable distributed generation in a context of carbon taxes: The case of the Northeastern American market , 2016 .

[11]  Rene Prenc,et al.  Distributed generation allocation based on average daily load and power production curves , 2013 .

[12]  Srinivasa Rao Gampa,et al.  Optimum placement and sizing of DGs considering average hourly variations of load , 2015 .

[13]  Anastasia Zabaniotou,et al.  Exergy analysis of a small gasification-ICE integrated system for CHP production fueled with Mediterranean agro-food processing wastes: The SMARt-CHP , 2015 .

[14]  Andrea Corti,et al.  Biomass integrated gasification combined cycle with reduced CO2 emissions: Performance analysis and life cycle assessment (LCA) , 2004 .

[15]  Dheeraj Kumar Khatod,et al.  An analytical approach for sizing and siting of DGs in balanced radial distribution networks for loss minimization , 2015 .

[16]  Javad Olamaei,et al.  Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm , 2013 .

[17]  Nadarajah Mithulananthan,et al.  Multiple Distributed Generator Placement in Primary Distribution Networks for Loss Reduction , 2013, IEEE Transactions on Industrial Electronics.

[18]  M. R. AlRashidi,et al.  Optimal planning of multiple distributed generation sources in distribution networks: A new approach , 2011 .

[19]  Friedrich Kiessling Overhead Power Lines: Planning, Design, Construction , 2003 .

[20]  Yue Yuan,et al.  Analysis of the environmental benefits of Distributed Generation , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[21]  Ashwani Kumar,et al.  Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches , 2013 .

[22]  A. K. Akella,et al.  Social, economical and environmental impacts of renewable energy systems , 2009 .

[23]  Gevork B. Gharehpetian,et al.  Optimal allocation and sizing of DG units considering voltage stability, losses and load variations , 2016 .

[24]  Debapriya Das,et al.  Voltage Stability Analysis of Radial Distribution Networks , 2001 .

[25]  H. Ghasemi,et al.  Voltage Stability-Based DG Placement in Distribution Networks , 2013, IEEE Transactions on Power Delivery.

[26]  E.F. El-Saadany,et al.  Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization , 2010, IEEE Transactions on Power Systems.

[27]  A. A. Abou El-Ela,et al.  Maximal optimal benefits of distributed generation using genetic algorithms , 2010 .

[28]  D. Singh,et al.  Multiobjective Optimization for DG Planning With Load Models , 2009, IEEE Transactions on Power Systems.

[29]  Avisha Tah,et al.  Novel analytical method for the placement and sizing of distributed generation unit on distribution networks with and without considering P and PQV buses , 2016 .

[30]  Ramesh C. Bansal,et al.  Analytical strategies for renewable distributed generation integration considering energy loss minimization , 2013 .

[31]  Mohammad Hassan Moradi,et al.  A novel method for optimal DG units capacity and location in Microgrids , 2016 .

[32]  Ranjit Roy,et al.  Enhancement of loading capacity of distribution system through distributed generator placement considering techno-economic benefits with load growth , 2014 .

[33]  A. K. Singh,et al.  Novel sensitivity factors for DG placement based on loss reduction and voltage improvement , 2016 .

[34]  Yiliu Jiang,et al.  Optimal DG penetration rate planning based on S-OPF in active distribution network , 2016, Neurocomputing.

[35]  Chandan Kumar Chanda,et al.  Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement , 2013 .

[36]  J. M. Blanco,et al.  Comparative analysis of CO2 and SO2 emissions between combined and conventional cycles with natural gas and fuel oil consumption over the Spanish thermal power plants , 2006 .