GA-based optimization for integration of DGs, STATCOM and PHEVs in distribution systems

Abstract This paper presents a Genetic Algorithms (GAs) for integration of various types of Distributed Generations (DGs), Static Synchronous Compensator (STATCOM) and Plug-in-Hybrid Electric Vehicle (PHEVs) with different static load models (DSLMs) such as LM-1, LM-2, LM-3, LM-4 and LM-5, respectively in distribution systems from minimization of total real power loss of the system viewpoint. In this analysis, the system power factor taken as power system performances in various cases such as without DGs, with various types of DGs, integration of DGs and STATCOM, integration of DGs, STATCOM and PHEVs in distribution system with DSLMs. The proposed methodology has been tested for IEEE-37 bus distribution test system. This research work is very much useful for researchers, scientific, industrial, academicians and practitioners for whose are working in the fields of integration of renewable energy sources, FACTS controllers and PHEVs in distribution systems with DSLMs from minimization of total real power loss of the system viewpoint. This research work also is useful for practical implementations of integration of renewable energy sources, FACTS controllers and PHEVs in distribution systems with DSLMs for enhancement of different power system performances from minimization of total real power loss of the system viewpoint.

[1]  Mohammad Hassan Moradi,et al.  Optimal multi objective placement and sizing of multiple DGs and shunt capacitor banks simultaneously considering load uncertainty via MOPSO approach , 2015 .

[2]  Mehdi Ehsan,et al.  Efficient immune-GA method for DNOs in sizing and placement of distributed generation units , 2011 .

[3]  Nasrudin Abd Rahim,et al.  Current control techniques for three-phase grid interconnection of renewable power generation systems: A review , 2016 .

[4]  R.K. Varma,et al.  Nighttime Application of PV Solar Farm as STATCOM to Regulate Grid Voltage , 2009, IEEE Transactions on Energy Conversion.

[5]  Chanan Singh,et al.  Dispersed generation planning using improved Hereford Ranch algorithm , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[6]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[7]  L.A.F. Ferreira,et al.  Distributed Reactive Power Generation Control for Voltage Rise Mitigation in Distribution Networks , 2008, IEEE Transactions on Power Systems.

[8]  Fariborz Jolai,et al.  Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm , 2016, J. Comput. Des. Eng..

[9]  Bindeshwar Singh,et al.  Genetic algorithm for impact assessment of optimally placed distributed generations with different load models from minimum total MVA intake viewpoint of main substation , 2016 .

[10]  M. P. Selvan,et al.  Fuzzy Embedded Genetic Algorithm Method for Distributed Generation Planning , 2011 .

[11]  Javier Contreras,et al.  Joint Expansion Planning of Distributed Generation and Distribution Networks , 2015, IEEE Transactions on Power Systems.

[12]  Carmen L. T. Borges,et al.  Optimal distributed generation allocation for reliability, losses, and voltage improvement , 2006 .

[13]  D. Singh,et al.  Effect of Load Models in Distributed Generation Planning , 2007, IEEE Transactions on Power Systems.

[14]  Zhiwei Xu,et al.  Optimal Coordination of Plug-in Electric Vehicles in Power Grids With Cost-Benefit Analysis—Part II: A Case Study in China , 2013, IEEE Transactions on Power Systems.

[15]  Amin Khodaei,et al.  A Comprehensive Battery Energy Storage Optimal Sizing Model for Microgrid Applications , 2018, IEEE Transactions on Power Systems.

[16]  C. W. Taylor,et al.  Load representation for dynamic performance analysis , 1993 .

[17]  Magdy M. A. Salama,et al.  Adequacy assessment of distributed generation systems using Monte Carlo Simulation , 2003 .

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

[19]  Sheldon S. Williamson,et al.  Digital Control of a Bidirectional DC/DC Switched Capacitor Converter for Hybrid Electric Vehicle Energy Storage System Applications , 2014, IEEE Transactions on Smart Grid.

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

[21]  Bindeshwar Singh,et al.  GA-based multi-objective optimization for distributed generations planning with DLMs in distribution power systems , 2017 .

[22]  Magdy M. A. Salama,et al.  Uncertainty-Based Design of a Bilayer Distribution System for Improved Integration of PHEVs and PV Arrays , 2015, IEEE Transactions on Sustainable Energy.

[23]  Andrew Lewis,et al.  Grasshopper Optimisation Algorithm: Theory and application , 2017, Adv. Eng. Softw..

[24]  Suneet Singh,et al.  Optimal Sizing of Distributed Generation Placed on Radial Distribution Systems , 2010 .

[25]  Mahdi Raoofat,et al.  Simultaneous allocation of DGs and remote controllable switches in distribution networks considering multilevel load model , 2011 .

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

[27]  M. P. Selvan,et al.  Distributed Generation Planning: A New Approach Based on Goal Programming , 2012 .

[28]  Kit Po Wong,et al.  Retirement-Driven Dynamic VAR Planning for Voltage Stability Enhancement of Power Systems With High-Level Wind Power , 2018, IEEE Transactions on Power Systems.

[29]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[30]  Abolfazl Jalilvand,et al.  Improving power system stability in the presence of wind farms using STATCOM and predictive control strategy , 2018 .

[31]  Bindeshwar Singh,et al.  A review on distributed generation planning , 2017 .

[32]  Kyu-Ho Kim,et al.  Dispersed generator placement using fuzzy-GA in distribution systems , 2002, IEEE Power Engineering Society Summer Meeting,.

[33]  Hemanshu R. Pota,et al.  Improved low-voltage-ride-through capability of fixed-speed wind turbines using decentralised control of STATCOM with energy storage system , 2012 .

[34]  Hamid Lesani,et al.  Reliability improvement considering plug-in hybrid electric vehicles parking lots ancillary services: a stochastic multi-criteria approach , 2017 .

[35]  Swapan Kumar Goswami,et al.  Multi-objective Optimization of Distributed Generation Planning Using Impact Indices and Trade-off Technique , 2011 .

[36]  Zhiwei Xu,et al.  Optimal Coordination of Plug-In Electric Vehicles in Power Grids With Cost-Benefit Analysis—Part I: Enabling Techniques , 2013, IEEE Transactions on Power Systems.

[37]  Mark O'Malley,et al.  Planning and operating non-firm distributed generation , 2009 .

[38]  A Shunmugalatha,et al.  Improvement of Voltage Profile in Distribution System by Optimal Placement and Sizing of DG , 2018 .

[39]  MengChu Zhou,et al.  Optimal Load Scheduling of Plug-In Hybrid Electric Vehicles via Weight-Aggregation Multi-Objective Evolutionary Algorithms , 2017, IEEE Transactions on Intelligent Transportation Systems.

[40]  A. K. Singh.  Rajarshi Rananjay Sinh Institute of Management & Technology, Amethi , 2013 .

[41]  Zhengcai Fu,et al.  Joint Optimization for Power Loss Reduction in Distribution Systems , 2008, IEEE Transactions on Power Systems.

[42]  M. Gandomkar,et al.  A Genetic–Based Tabu Search Algorithm for Optimal DG Allocation in Distribution Networks , 2005 .

[43]  Lennart Söder,et al.  Distributed generation : a definition , 2001 .

[44]  Sanjay Agrawal,et al.  A meta-heuristic firefly algorithm based smart control strategy and analysis of a grid connected hybrid photovoltaic/wind distributed generation system , 2017 .

[45]  Javier Contreras,et al.  Location and contract pricing of distributed generation using a genetic algorithm , 2012 .

[46]  Bindeshwar Singh,et al.  Genetic algorithm optimized impact assessment of optimally placed DGs and FACTS controller with different load models from minimum total real power loss viewpoint , 2016 .

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

[48]  R. K. Singh,et al.  Optimum Siting and Sizing of Distributed Generations in Radial and Networked Systems , 2009 .

[49]  T. Funabashi,et al.  Optimal Distribution Voltage Control and Coordination With Distributed Generation , 2008, IEEE Transactions on Power Delivery.

[50]  E. S. Ali,et al.  Ant Lion Optimization Algorithm for Renewable Distributed Generations , 2016 .

[51]  E. S. Ali,et al.  Imperialist competitive algorithm for optimal STATCOM design in a multimachine power system , 2016 .

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

[53]  Mahmoud Reza Shakarami,et al.  An analytical and probabilistic method to determine wind distributed generators penetration for distribution networks based on time-dependent loads , 2018, International Journal of Electrical Power & Energy Systems.

[54]  Chin Kim Gan,et al.  A comparison of heuristic optimization techniques for optimal placement and sizing of photovoltaic based distributed generation in a distribution system , 2016 .

[55]  F. Pilo,et al.  A multiobjective evolutionary algorithm for the sizing and siting of distributed generation , 2005, IEEE Transactions on Power Systems.

[56]  Almoataz Y. Abdelaziz,et al.  Optimal Placement and Sizing of Distributed Generators in Unbalanced Distribution Systems Using Supervised Big Bang-Big Crunch Method , 2015, IEEE Transactions on Power Systems.

[57]  Satish Kumar Injeti,et al.  A novel approach to identify optimal access point and capacity of multiple DGs in a small, medium and large scale radial distribution systems , 2013 .

[58]  Pierluigi Siano,et al.  Hybrid GA and OPF evaluation of network capacity for distributed generation connections , 2008 .

[59]  Jen-Hao Teng,et al.  Value-based distributed generator placements for service quality improvements , 2007 .

[60]  Ehab F. El-Saadany,et al.  Optimal Placement and Sizing Method to Improve the Voltage Stability Margin in a Distribution System Using Distributed Generation , 2013, IEEE Transactions on Power Systems.

[61]  Baohui Zhang,et al.  Coordinated Control of DC Grid and Offshore Wind Farms to Improve Rotor-Angle Stability , 2018, IEEE Transactions on Power Systems.

[62]  Christophe Menezo,et al.  Modeling and optimization of a solar system based on concentrating photovoltaic/thermal collector , 2018, Solar Energy.

[63]  Yunhua Li,et al.  Optimal Placement and Sizing of Distributed Generation via an Improved Nondominated Sorting Genetic Algorithm II , 2015, IEEE Transactions on Power Delivery.

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

[65]  Fabrizio Giulio Luca Pilo,et al.  Embedded Generation Planning under Uncertainty including Power Quality Issues , 2003 .

[66]  Swapan Kumar Goswami,et al.  Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue , 2010 .

[67]  Ishak Aris,et al.  Effective method for optimal allocation of distributed generation units in meshed electric power systems , 2011 .

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

[69]  R. Romero,et al.  Optimal Capacitor Placement in Radial Distribution Networks , 2001, IEEE Power Engineering Review.

[70]  Fabrizio Giulio Luca Pilo,et al.  Optimisation of embedded generation sizing and siting by using a double trade-off method , 2005 .

[71]  Johan Driesen,et al.  Electric Vehicle Charging in an Office Building Microgrid With Distributed Energy Resources , 2014, IEEE Transactions on Sustainable Energy.

[72]  Nishi Sharma,et al.  A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments , 2010 .

[73]  Ahmad M. Tahboub,et al.  Multiobjective Dynamic VAR Planning Strategy With Different Shunt Compensation Technologies , 2018, IEEE Transactions on Power Systems.

[74]  Xiao-Ping Zhang,et al.  Coordinated design and application of robust damping controllers for shunt FACTS devices to enhance small-signal stability of large-scale power systems , 2017 .

[75]  Pola Kishore Kumar,et al.  Selection of Optimal Location and Size of Multiple Distributed Generations by Using Kalman Filter Algorithm , 2013 .

[76]  Mehdi Abapour,et al.  Optimal planning of plug-in hybrid electric vehicle charging station in distribution network considering demand response programs and uncertainties , 2016 .

[77]  Seyed Hossein Hosseinian,et al.  Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid electricity market using PSO , 2012 .

[78]  Hossam Faris,et al.  Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..

[79]  Kyung Bin Song,et al.  Multiobjective distributed generation placement using fuzzy goal programming with genetic algorithm , 2008 .

[80]  Ying-Yi Hong,et al.  Determination of network configuration considering multiobjective in distribution systems using genetic algorithms , 2005 .

[81]  Ying-Yi Hong,et al.  Determination of network configuration considering multiobjective in distribution systems using genetic algorithms , 2005, IEEE Transactions on Power Systems.

[82]  Bindeshwar Singh,et al.  A survey on impact assessment of DG and FACTS controllers in power systems , 2015 .

[83]  Jan Kleissl,et al.  Siting and sizing of distributed energy storage to mitigate voltage impact by solar PV in distribution systems , 2017 .

[84]  W. Drabikowski,et al.  effective method of , 1985 .