Optimal Planning of Solar Photovoltaic (PV) and Wind-Based DGs for Achieving Techno-Economic Objectives across Various Load Models

Over the last few decades, distributed generation (DG) has become the most viable option in distribution systems (DSs) to mitigate the power losses caused by the substantial increase in electricity demand and to improve the voltage profile by enhancing power system reliability. In this study, two metaheuristic algorithms, artificial gorilla troops optimization (GTO) and Tasmanian devil optimization (TDO), are presented to examine the utilization of DGs, as well as the optimal placement and sizing in DSs, with a special emphasis on maximizing the voltage stability index and minimizing the total operating cost index and active power loss, along with the minimizing of voltage deviation. The robustness of the algorithms is examined on the IEEE 33-bus and IEEE 69-bus radial distribution networks (RDNs) for PV- and wind-based DGs. The obtained results are compared with the existing literature to validate the effectiveness of the algorithms. The reduction in active power loss is 93.15% and 96.87% of the initial value for the 33-bus and 69-bus RDNs, respectively, while the other parameters, i.e., operating cost index, voltage deviation, and voltage stability index, are also improved. This validates the efficiency of the algorithms. The proposed study is also carried out by considering different voltage-dependent load models, including industrial, residential, and commercial types.

[1]  M. Mahdavian,et al.  Optimal placement and sizing of photovoltaic power plants in power grid considering multi-objective optimization using evolutionary algorithms , 2023, Journal of Electrical Systems and Information Technology.

[2]  P. Sujatha,et al.  Optimal DG unit placement in distribution networks by multi-objective whale optimization algorithm & its techno-economic analysis , 2023, Electric Power Systems Research.

[3]  Ravi Kuppan,et al.  Optimal DG Placement in Power Systems Using a Modified Flower Pollination Algorithm , 2022, Energies.

[4]  M. Pandit,et al.  Assessment of Optimal Size and Location of DG/CB in Distribution Systems using Coulomb–Franklin’s Algorithm , 2022, Journal of The Institution of Engineers (India): Series B.

[5]  B. K. Sahu,et al.  Quasi-oppositional Forensic-Based Investigation for Optimal DG Selection for Power Loss Minimization , 2022, Process Integration and Optimization for Sustainability.

[6]  D. Panigrahy,et al.  A Novel Technique Based on Aquila Optimiser Algorithm for Optimal Integration of Distributed Generations in the Distribution System , 2022, Process Integration and Optimization for Sustainability.

[7]  I. Korachagaon,et al.  Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives , 2022, Evolving Systems.

[8]  R. Neji,et al.  An improved MOPSO algorithm for optimal sizing & placement of distributed generation: A case study of the Tunisian offshore distribution network (ASHTART) , 2022, Energy Reports.

[9]  S. Kansal,et al.  Sizing and Allocation of DGs in A Passive Distribution Network Under Various Loading Scenarios , 2022, Electric Power Systems Research.

[10]  Hasan Jamil Apon,et al.  Optimal Planning of Multiple Renewable Energy-Integrated Distribution System with Uncertainties using Artificial Hummingbird Algorithm , 2022, IEEE Access.

[11]  Syed Ali Abbas Kazmi,et al.  A Novel Hybrid Optimization-Based Algorithm for the Single and Multi-Objective Achievement With Optimal DG Allocations in Distribution Networks , 2022, IEEE Access.

[12]  Š. Hubálovský,et al.  Tasmanian Devil Optimization: A New Bio-Inspired Optimization Algorithm for Solving Optimization Algorithm , 2022, IEEE Access.

[13]  Oludamilare Bode Adewuyi,et al.  Modified Analytical Approach for PV-DGs Integration into a Radial Distribution Network Considering Loss Sensitivity and Voltage Stability , 2021, Energies.

[14]  Vo Ngoc Dieu,et al.  A comprehensive analysis for multi-objective distributed generations and capacitor banks placement in radial distribution networks using hybrid neural network algorithm , 2021, Knowl. Based Syst..

[15]  M. Karuppasamypandiyan,et al.  A Multi-objective Optimum Distributed Generation Placement Using Firefly Algorithm , 2021, Journal of Electrical Engineering & Technology.

[16]  F. S. Gharehchopogh,et al.  Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems , 2021, Int. J. Intell. Syst..

[17]  Pierluigi Siano,et al.  Optimal Integration of Capacitor and Distributed Generation in Distribution System Considering Load Variation Using Bat Optimization Algorithm , 2021 .

[18]  M. Sornalatha,et al.  Multi-objective optimization of optimal placement and sizing of multiple DG placements in radial distribution system using stud krill herd algorithm , 2021, Neural Computing and Applications.

[19]  Uzair Khan,et al.  Optimal Siting and Sizing of Distributed Generators by Strawberry Plant Propagation Algorithm , 2021, Energies.

[20]  Janaka Ekanayake,et al.  Network loss reduction and voltage improvement by optimal placement and sizing of distributed generators with active and reactive power injection using fine-tuned PSO , 2021 .

[21]  Chul-Hwan Kim,et al.  Voltage Profile Enhancement and Loss Minimization Using Optimal Placement and Sizing of Distributed Generation in Reconfigured Network , 2021, Machines.

[22]  Aamir Ali,et al.  Optimal Site and Size of Distributed Generation Allocation in Radial Distribution Network Using Multi-objective Optimization , 2021 .

[23]  S. Durairaj,et al.  Application of multi-objective optimization algorithm for siting and sizing of distributed generations in distribution networks , 2020, Journal of Combinatorial Optimization.

[24]  Janaka Ekanayake,et al.  Optimal Placement and Sizing of DGs in Distribution Networks Using MLPSO Algorithm , 2020, Energies.

[25]  Yanxia Sun,et al.  Multi-objective for optimal placement and sizing DG units in reducing loss of power and enhancing voltage profile using BPSO-SLFA , 2020 .

[26]  Kabir Chakraborty,et al.  Modified Spider Monkey Optimization-Based Optimal Placement of Distributed Generators in Radial Distribution System for Voltage Security Improvement , 2020 .

[27]  Ahmad Eid,et al.  Allocation of distributed generations in radial distribution systems using adaptive PSO and modified GSA multi-objective optimizations , 2020 .

[28]  Salem Alkhalaf,et al.  Distributed Generators Optimization Based on Multi-Objective Functions Using Manta Rays Foraging Optimization Algorithm (MRFO) , 2020, Energies.

[29]  Srinivas Nagaballi,et al.  Pareto optimality and game theory approach for optimal deployment of DG in radial distribution system to improve techno-economic benefits , 2020, Appl. Soft Comput..

[30]  Muhammad Aamir,et al.  ABC algorithm based optimal sizing and placement of DGs in distribution networks considering multiple objectives , 2020 .

[31]  L. F. Grisales-Norena,et al.  An exact MINLP model for optimal location and sizing of DGs in distribution networks: A general algebraic modeling system approach , 2020 .

[32]  I. Elamvazuthi,et al.  A Quasi-Oppositional-Chaotic Symbiotic Organisms Search algorithm for optimal allocation of DG in radial distribution networks , 2020, Appl. Soft Comput..

[33]  Salah Kamel,et al.  An Enhanced Artificial Ecosystem-Based Optimization for Optimal Allocation of Multiple Distributed Generations , 2020, IEEE Access.

[34]  Eklas Hossain,et al.  Analysis of Optimal Deployment of Several DGs in Distribution Networks Using Plant Propagation Algorithm , 2020, IEEE Access.

[35]  Salah Kamel,et al.  Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches , 2020, IEEE Access.

[36]  Salah Kamel,et al.  Efficient optimization technique for multiple DG allocation in distribution networks , 2020, Appl. Soft Comput..

[37]  Salah Kamel,et al.  Single- and multi-objective optimization for photovoltaic distributed generators implementation in probabilistic power flow algorithm , 2020 .

[38]  Niladri Chakraborty,et al.  A novel opposition-based tuned-chaotic differential evolution technique for techno-economic analysis by optimal placement of distributed generation , 2020, Engineering Optimization.

[39]  Salvatore Favuzza,et al.  A Simplified Analytical Approach for Optimal Planning of Distributed Generation in Electrical Distribution Networks , 2019 .

[40]  Oumaima Garfi,et al.  Multiple distributed generations placement and sizing based on voltage stabilityindex and power loss minimization , 2019, Turkish J. Electr. Eng. Comput. Sci..

[41]  Adel Khedher,et al.  Integration of distributed generation in electrical grid: Optimal placement and sizing under different load conditions , 2019, Comput. Electr. Eng..

[42]  Usharani Raut,et al.  An improved Elitist–Jaya algorithm for simultaneous network reconfiguration and DG allocation in power distribution systems , 2019, Renewable Energy Focus.

[43]  Pierluigi Siano,et al.  A Novel Combined Evolutionary Algorithm for Optimal Planning of Distributed Generators in Radial Distribution Systems , 2019, Applied Sciences.

[44]  Salah Kamel,et al.  Optimal DG allocation for enhancing voltage stability and minimizing power loss using hybrid gray wolf optimizer , 2019, Turkish J. Electr. Eng. Comput. Sci..

[45]  Niladri Chakraborty,et al.  Optimal DG placement by multi-objective opposition based chaotic differential evolution for techno-economic analysis , 2019, Appl. Soft Comput..

[46]  Almoataz Y. Abdelaziz,et al.  Fuzzy multi-objective placement of renewable energy sources in distribution system with objective of loss reduction and reliability improvement using a novel hybrid method , 2019, Appl. Soft Comput..

[47]  T Jayabarathi,et al.  Optimal Allocation of Renewable Distributed Generation and Capacitor Banks in Distribution Systems using Salp Swarm Algorithm , 2019, International Journal of Renewable Energy Research.

[48]  Ning Li,et al.  Risk-Based Multi-Objective Optimization of Distributed Generation Based on GPSO-BFA Algorithm , 2019, IEEE Access.

[49]  Arun Onlam,et al.  Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping Algorithm , 2019, Energies.

[50]  Ashwani Kumar,et al.  Optimal DG integration and network reconfiguration in microgrid system with realistic time varying load model using hybrid optimisation , 2019, IET Smart Grid.

[51]  Ferinar Moaidi,et al.  Optimal Placement and Sizing of Distributed Generation in Microgrid for Power Loss Reduction and Voltage Profile Improvement , 2019 .

[52]  Minh Quan Duong,et al.  Determination of Optimal Location and Sizing of Solar Photovoltaic Distribution Generation Units in Radial Distribution Systems , 2019, Energies.

[53]  Akbar Bayat,et al.  Optimal active and reactive power allocation in distribution networks using a novel heuristic approach , 2019, Applied Energy.

[54]  Vo Ngoc Dieu,et al.  Improved stochastic fractal search algorithm with chaos for optimal determination of location, size, and quantity of distributed generators in distribution systems , 2018, Neural Computing and Applications.

[55]  Ali Ehsan,et al.  Optimal integration and planning of renewable distributed generation in the power distribution networks: A review of analytical techniques , 2018 .

[56]  Vasiliki Vita,et al.  Development of a Decision-Making Algorithm for the Optimum Size and Placement of Distributed Generation Units in Distribution Networks , 2017 .

[57]  Naoto Yorino,et al.  Optimal Distributed Generation Allocation in Distribution Systems for Loss Minimization , 2016, IEEE Transactions on Power Systems.

[58]  Subhadeep Bhattacharjee,et al.  Quasi-Oppositional Swine Influenza Model Based Optimization with Quarantine for optimal allocation of DG in radial distribution network , 2016 .

[59]  Rajesh Kumar Nema,et al.  Planning of grid integrated distributed generators: A review of technology, objectives and techniques , 2014 .

[60]  Felix F. Wu,et al.  Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing , 1989, IEEE Power Engineering Review.

[61]  M. E. Baran,et al.  Optimal sizing of capacitors placed on a radial distribution system , 1989 .

[62]  Talha Enes Gümüş,et al.  Optimal DG allocation and sizing in distribution systems with Thevenin based impedance stability index , 2022, International Journal of Electrical Power & Energy Systems.