An Improved Sunflower Optimization Algorithm-Based Monte Carlo Simulation for Efficiency Improvement of Radial Distribution Systems Considering Wind Power Uncertainty

All over the world, the operators of the power distribution networks (DNs) are still looking for improving the efficiency of their networks. The performance of DNs and lifetime of its component have been significantly affected by its capability of varying their topologies with accurate load gathering via smart grid functions. This paper investigates making use of the smart DNs features and proposes a model of handling the capability of re-allocating the capacitors integrating with configuring the DNs topology. Using the developed formulation, the efficiency of DNs can be improved not only by minimizing the operational costs related to the network losses but also by optimizing the investment costs associated with capacitor re-allocations. Also, various load patterns are employed in the developed formulation to imitate the daily load variations over a year. The improved sunflower optimization algorithm (ISFOA) is proposed in this paper to get the optimal solution of the presented problem. The standard IEEE 33-node feeder and practical 84-node system of Taiwan Power Company (TPC) are the considered test systems. Besides, the uncertainties due to a distributed generation of wind power are investigated via Monte Carlo simulation involved with the proposed ISFOA. Furthermore, to verify the ability of ISFOA to obtain better solutions compared with different recent optimizers, a statistical comparison is carried out based on a large scale 118-node distribution systems. The simulation results reveal that significant technical and economic benefits are obtained by applying the proposed algorithm with higher superiority and effectiveness.

[1]  M. Surya Kalavathi,et al.  Optimal capacitor placement in radial distribution system using Gravitational Search Algorithm , 2015 .

[2]  Ragab A. El-Sehiemy,et al.  Optimal Coordinated Allocation of Distributed Generation Units/ Capacitor Banks/ Voltage Regulators by EGWA , 2021, IEEE Systems Journal.

[3]  Behrooz Vahidi,et al.  Bacterial foraging solution based fuzzy logic decision for optimal capacitor allocation in radial di , 2011 .

[4]  Ragab A. El-Sehiemy,et al.  Parameter identification and state-of-charge estimation for lithium-polymer battery cells using enhanced sunflower optimization algorithm , 2020 .

[5]  Zhe Chen,et al.  Comprehensive Cost Minimization in Distribution Networks Using Segmented-Time Feeder Reconfiguration and Reactive Power Control of Distributed Generators , 2016, IEEE Transactions on Power Systems.

[6]  Almoataz Y. Abdelaziz,et al.  Artificial Bee Colony Algorithm to Allocate Fixed and Switched Static Shunt Capacitors in Radial Distribution Networks , 2014 .

[7]  S. Carneiro,et al.  A new heuristic reconfiguration algorithm for large distribution systems , 2005, 2006 IEEE Power Engineering Society General Meeting.

[8]  Gerald T. Heydt,et al.  Optimal design of hybrid DG systems for microgrid reliability enhancement , 2020 .

[9]  Ragab A. El-Sehiemy,et al.  Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Distribution Systems Using Water Cycle Algorithm , 2018, IEEE Systems Journal.

[10]  N. Zareen,et al.  Grey wolf optimizer based placement and sizing of multiple distributed generation in the distribution system , 2016 .

[11]  Mohammad Rasoul Narimani,et al.  Multi-objective dynamic distribution feeder reconfiguration in automated distribution systems , 2018 .

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

[13]  Leonardo H. Macedo,et al.  Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models , 2019, International Journal of Electrical Power & Energy Systems.

[14]  Attia A. El-Fergany,et al.  Capacitor allocations in radial distribution networks using cuckoo search algorithm , 2014 .

[15]  Zongchao Yu,et al.  Security Constrained Unit Commitment with Extreme Wind Scenarios , 2020, Journal of Modern Power Systems and Clean Energy.

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

[17]  S. Chandramohan,et al.  Optimal placement of capacitors in radial distribution system using shark smell optimization algorithm , 2016 .

[18]  Ali Azizi Vahed,et al.  Enhanced gravitational search algorithm for multi-objective distribution feeder reconfiguration considering reliability, loss and operational cost , 2014 .

[19]  Ying-Tung Hsiao,et al.  Optimal placement of capacitors in distribution systems using an immune multi-objective algorithm , 2008 .

[20]  Sebastiao Simões da Cunha,et al.  A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates , 2019, Engineering with Computers.

[21]  R. Srinivasas Rao,et al.  Optimal capacitor placement in a radial distribution system using Plant Growth Simulation Algorithm , 2008 .

[22]  Jie Wang,et al.  A Chaos Disturbed Beetle Antennae Search Algorithm for a Multiobjective Distribution Network Reconfiguration Considering the Variation of Load and DG , 2020, IEEE Access.

[23]  Ha Duc Nguyen,et al.  Improvement methods for solving the distribution network reconfiguration problem , 2019 .

[24]  Ragab A. El-Sehiemy,et al.  Optimal Allocation of DGs with network reconfiguration using Improved Spotted Hyena Algorithm , 2020, WSEAS TRANSACTIONS ON POWER SYSTEMS.

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

[26]  Ragab A. El-Sehiemy,et al.  Optimal allocation of capacitor devices on MV distribution networks using crow search algorithm , 2017 .

[27]  Belkacem Mahdad,et al.  Optimal reconfiguration and reactive power planning based fractal search algorithm: A case study of the Algerian distribution electrical system , 2019, Engineering Science and Technology, an International Journal.

[28]  Tamer Fetouh,et al.  Optimal Control and Operation of Fully Automated Distribution Networks Using Improved Tunicate Swarm Intelligent Algorithm , 2020, IEEE Access.

[29]  G. B. Jasmon,et al.  A new approach of distribution system reconfiguration for loss minimization , 2000 .

[30]  Usharani Raut,et al.  An improved sine-cosine algorithm for simultaneous network reconfiguration and DG allocation in power distribution systems , 2020, Appl. Soft Comput..

[31]  Ragab A. El-Sehiemy,et al.  Optimal capacitor placement in distribution systems for power loss reduction and voltage profile improvement , 2016 .

[32]  E. J. Oliveira,et al.  Optimal reconfiguration and capacitor allocation in radial distribution systems for energy losses minimization , 2010 .

[33]  Debapriya Das,et al.  Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method , 2008 .

[34]  Provas Kumar Roy,et al.  Optimal capacitor placement in radial distribution systems using teaching learning based optimization , 2014 .

[35]  E. S. Ali,et al.  Flower Pollination Algorithm and Loss Sensitivity Factors for optimal sizing and placement of capacitors in radial distribution systems , 2016 .

[36]  Jing Zhang,et al.  Short-Term Wind Speed Forecasting Based on Information of Neighboring Wind Farms , 2020, IEEE Access.

[37]  B. Vahidi,et al.  Reconfiguration and Capacitor Placement Simultaneously for Energy Loss Reduction Based on an Improved Reconfiguration Method , 2012, IEEE Transactions on Power Systems.

[38]  Ragab A. El-Sehiemy,et al.  Equilibrium optimizer based multi dimensions operation of hybrid AC/DC grids , 2020 .

[39]  Ragab A. El-Sehiemy,et al.  Enhanced feeder reconfiguration in primary distribution networks using backtracking search technique , 2020 .

[40]  Mohammad Hassan Khooban,et al.  Multi-Objective Distribution feeder reconfiguration to improve transient stability, and minimize power loss and operation cost using an enhanced evolutionary algorithm at the presence of distributed generations , 2016 .

[41]  Alberto LANDEROS,et al.  Distribution network reconfiguration using feasibility-preserving evolutionary optimization , 2019 .

[42]  C. Su,et al.  Variable scaling hybrid differential evolution for solving network reconfiguration of distribution systems , 2005, IEEE Transactions on Power Systems.

[43]  Taher Niknam,et al.  Considering uncertainty in the multi-objective stochastic capacitor allocation problem using a novel self adaptive modification approach , 2013 .

[44]  R. Srinivasa Rao,et al.  An Hybrid Approach for Loss Reduction in Distribution Systems using Harmony Search Algorithm , 2010 .

[45]  R. A. El-Sehiemy,et al.  Optimal sitting and sizing of capacitors for voltage enhancement of distribution systems , 2015, 2015 50th International Universities Power Engineering Conference (UPEC).

[46]  K. Ravindra,et al.  Direct search algorithm for capacitive compensation in radial distribution systems , 2012 .

[47]  Reza Sirjani,et al.  Optimal capacitor placement in a radial distribution system using Harmony Search algorithm , 2010 .

[48]  C. Cañizares,et al.  Reactive Power and Voltage Control in Distribution Systems With Limited Switching Operations , 2009, IEEE Transactions on Power Systems.

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

[50]  Jianzhou Wang,et al.  Wind Speed Forecasting Using a Two-Stage Forecasting System With an Error Correcting and Nonlinear Ensemble Strategy , 2019, IEEE Access.

[51]  Hany M. Hasanien,et al.  Identification of electrical parameters for three-diode photovoltaic model using analytical and sunflower optimization algorithm , 2019, Applied Energy.

[52]  Hany M. Hasanien,et al.  Optimal Power Flow of Power Systems Including Distributed Generation Units Using Sunflower Optimization Algorithm , 2019, IEEE Access.

[53]  M. Surya Kalavathi,et al.  Optimal Reconfiguration in Radial Distribution System Using Gravitational Search Algorithm , 2014 .

[54]  M. M. A. Salama,et al.  A review of Volt/Var control techniques in passive and active power distribution networks , 2016, 2016 IEEE Smart Energy Grid Engineering (SEGE).

[55]  Ragab A. El-Sehiemy,et al.  A Multiobjective Salp Optimization Algorithm for Techno-Economic-Based Performance Enhancement of Distribution Networks , 2021, IEEE Systems Journal.

[56]  Abbas Rabiee,et al.  Energy management in distribution systems, considering the impact of reconfiguration, RESs, ESSs and DR: A trade-off between cost and reliability , 2019, Renewable Energy.

[57]  Ragab A. El-Sehiemy,et al.  Optimal Allocation of Distributed Generation Units Correlated With Fault Current Limiter Sites in Distribution Systems , 2021, IEEE Systems Journal.

[58]  Almoataz Y. Abdelaziz,et al.  Equilibrium optimization algorithm for network reconfiguration and distributed generation allocation in power systems , 2020, Appl. Soft Comput..

[59]  Ragab A. El-Sehiemy,et al.  A novel adequate bi-level reactive power planning strategy , 2016 .

[60]  Hazlie Mokhlis,et al.  Fast Optimal Network Reconfiguration With Guided Initialization Based on a Simplified Network Approach , 2020, IEEE Access.

[61]  Mohammad Bagheri,et al.  Optimal reconfiguration and DG integration in distribution networks considering switching actions costs using tabu search algorithm , 2020 .

[62]  Alfeu J. Sguarezi Filho,et al.  Distribution Network Reconfiguration Using Selective Firefly Algorithm and a Load Flow Analysis Criterion for Reducing the Search Space , 2019, IEEE Access.

[63]  P. S. Dokopoulos,et al.  Wind speed and power forecasting based on spatial correlation models , 1999 .

[64]  Sobhy M. Farrag,et al.  Distribution system performance enhancement (Egyptian distribution system real case study) , 2018 .

[65]  Mostafa Sedighizadeh,et al.  Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization , 2014 .

[66]  Anil Pahwa,et al.  Optimal selection of capacitors for radial distribution systems using a genetic algorithm , 1994 .

[67]  Swapan Kumar Goswami,et al.  Effect of network reconfiguration on power quality of distribution system , 2016 .

[68]  I. Drezga,et al.  A heuristic nonlinear constructive method for distribution system reconfiguration , 1999 .

[69]  Ragab A. El-Sehiemy,et al.  Optimal coordination of static VAR compensators, fixed capacitors, and distributed energy resources in Egyptian distribution networks , 2020 .

[70]  Chung-Fu Chang,et al.  Reconfiguration and Capacitor Placement for Loss Reduction of Distribution Systems by Ant Colony Search Algorithm , 2008, IEEE Transactions on Power Systems.

[71]  Helon Vicente Hultmann Ayala,et al.  Capacitor placement of distribution systems using particle swarm optimization approaches , 2015 .

[72]  Sobhy M. Farrag,et al.  Optimal allocation and control of fixed and switched capacitor banks on distribution systems using grasshopper optimisation algorithm with power loss sensitivity and rough set theory , 2019, IET Generation, Transmission & Distribution.

[73]  L. Rouco,et al.  A Sensitivities Computation Method for Reconfiguration of Radial Networks , 2012, IEEE Transactions on Power Systems.