Optimal Operation of Automated Distribution Networks Based-MRFO Algorithm

Nowadays, distribution utilities expend large investments on Distributed System Automation (DSA) based on smart secondary substations at load, capacitor, and distributed generator points with installed automatic sectionalizing switches on their branches. This article addresses the optimal control and operation of distribution systems that minimize the wasted energy and introducing quantitative and qualitative power services to meet consumers’ satisfaction. Simultaneous allocations of Distributed Generators (DGs) and Capacitor Banks (CBs) are handled at peak loading condition. Then, the DSA is optimally activated for optimal Distribution Network Reconfiguration (DNR), optimal DGs commitment, and optimal CBs switching for losses minimization in coordination with different loading conditions. Practical daily load variation is applied to simulate the dynamic operation of automated distribution systems. For achieving these targets, the Manta Ray Foraging Optimization Algorithm (MRFOA) is adopted. MRFOA is an effective and simple structure optimizer that emulates three various individual manta rays foraging organizations. The capability of the MRFOA is applied to the IEEE 33-bus, 69-bus and practical distribution network of 84-bus due to the Taiwan Power Company (TPC). A comparison with recent techniques has been conducted to prove the effectiveness of MRFOA. The accomplished results demonstrate that the proposed MRFOA has great effectiveness and robustness among other optimization techniques.

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

[2]  Abdullah M. Shaheen,et al.  Optimal Allocation of DGs and Capacitor Devices using Improved Grey Wolf Optimizer , 2019, 2019 21st International Middle East Power Systems Conference (MEPCON).

[3]  Sajjad Golshannavaz.  Optimal simultaneous siting and sizing of DGs and capacitors considering reconfiguration in smart automated distribution systems , 2014, J. Intell. Fuzzy Syst..

[4]  Ragab A. El-Sehiemy,et al.  Economic Power and Heat Dispatch in Cogeneration Energy Systems Using Manta Ray Foraging Optimizer , 2020, IEEE Access.

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

[6]  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.

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

[8]  Mostafa Sedighizadeh,et al.  Optimal Reconfiguration and Capacitor Allocation in Radial Distribution Systems Using the Hybrid Shuffled Frog Leaping Algorithm in the Fuzzy Framework , 2015 .

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

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

[11]  M. Kowsalya,et al.  Optimal Distributed Generation and capacitor placement in power distribution networks for power loss minimization , 2014, 2014 International Conference on Advances in Electrical Engineering (ICAEE).

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

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

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

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

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

[17]  Ragab A. El-Sehiemy,et al.  A Hybrid Local Search-Genetic Algorithm for Simultaneous Placement of DG Units and Shunt Capacitors in Radial Distribution Systems , 2020, IEEE Access.

[18]  A. L. Sangal,et al.  Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization , 2020, Eng. Appl. Artif. Intell..

[19]  Ponnuthurai N. Suganthan,et al.  A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network , 2017, Appl. Soft Comput..

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

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

[22]  M.Th. Schilling,et al.  Probing the new IEEE Reliability Test System (RTS-96): HL-II assessment , 1998 .

[23]  Roohallah Khatami,et al.  Deliverable Energy Flexibility Scheduling for Active Distribution Networks , 2020, IEEE Transactions on Smart Grid.

[24]  Gaetano Zizzo,et al.  On multi-objective optimal reconfiguration of MV networks in presence of different grounding , 2016, J. Ambient Intell. Humaniz. Comput..

[25]  Liying Wang,et al.  Manta ray foraging optimization: An effective bio-inspired optimizer for engineering applications , 2020, Eng. Appl. Artif. Intell..

[26]  M. M. Aman,et al.  Optimum Simultaneous DG and Capacitor Placement on the Basis of Minimization of Power Losses , 2013 .

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

[28]  Firdaus Muhammad-Sukki,et al.  Distribution power loss minimization via distributed generation, capacitor and network reconfiguration , 2017 .

[29]  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.

[30]  Ragab A. El-Sehiemy,et al.  An Improved Sunflower Optimization Algorithm-Based Monte Carlo Simulation for Efficiency Improvement of Radial Distribution Systems Considering Wind Power Uncertainty , 2021, IEEE Access.

[31]  Yang Li,et al.  Optimal distributed generation planning in active distribution networks considering integration of energy storage , 2018, 1808.05712.

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

[33]  Dheeraj Kumar Khatod,et al.  Optimal allocation of combined DG and capacitor for real power loss minimization in distribution networks , 2013 .

[34]  Abdullah M. Shaheen,et al.  Optimal allocation of biomass distributed generation in distribution systems using equilibrium algorithm , 2020 .

[35]  T. Jayabarathi,et al.  Optimal Allocation of Distributed Generation Using Hybrid Grey Wolf Optimizer , 2017, IEEE Access.

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

[37]  Amin Khodabakhshian,et al.  Simultaneous placement and sizing of DGs and shunt capacitors in distribution systems by using IMDE algorithm , 2016 .

[38]  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.

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

[40]  Ragab A. El-Sehiemy,et al.  Optimal Power Flow With Emerged Technologies of Voltage Source Converter Stations in Meshed Power Systems , 2020, IEEE Access.

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

[42]  Shaorong Wang,et al.  Adequate Topology for Efficient Energy Resources Utilization of Active Distribution Networks Equipped With Soft Open Points , 2019, IEEE Access.

[43]  Dieu Ngoc Vo,et al.  A novel stochastic fractal search algorithm for optimal allocation of distributed generators in radial distribution systems , 2018, Appl. Soft Comput..

[44]  Allan C. Nerves,et al.  Multi-objective optimization of distribution network reconfiguration with capacitor and distributed generator placement , 2014, TENCON 2014 - 2014 IEEE Region 10 Conference.