Optimal Power Flow Solution Using Levy Spiral Flight Equilibrium Optimizer With Incorporating CUPFC

Centre Node Unified Power Flow Controller (CUPFC) is a developed member of Flexible Alternating Current Transmission System (FACTS) connected at midpoint of transmission line. It has ability to control the power flow in transmission line (TL) as well as the voltage of the midpoint of TL. Solving the optimal power flow (OPF) problem is crucial task, and it became a difficult problem in case of integration FACTS devices into the system. Therefore, in this paper an efficient optimizer, namely Levy Spiral Flight Equilibrium Optimizer (LSFEO), is proposed for solving the OPF problem and determining the optimal allocation of CUPFC. The proposed algorithm is based on developing the Equilibrium Optimizer (EO) to enhance its searching capabilities. In this technique, two searching strategies are applied to enhance the exploration and exploitation processes of the traditional EO. The first strategy is based on Levy Flight Distribution to enable the optimizer to jump to new search areas for avoiding the stagnation of the traditional EO while the second strategy is based on spiral motion of the particles around the sorted best solution to boost the exploitation. The considered objective functions include fuel cost, fuel cost with valve point effect, emission, voltage deviations and the power losses. The validity and applicability of the proposed algorithm is demonstrated using the IEEE 30-bus system. The simulations verify the superiority of the proposed algorithm over the other reported algorithms. In addition, optimal inclusion of the CUPFC can reduce the cost, VD, losses, and emission considerably.

[1]  Salah Kamel,et al.  Optimal Power Flow Solution With an Embedded Center-Node Unified Power Flow Controller Using an Adaptive Grasshopper Optimization Algorithm , 2020, IEEE Access.

[2]  Seyed Hossein Hosseini,et al.  Modeling and control of C-UPFC for power system transient studies , 2006, Simul. Model. Pract. Theory.

[3]  Ulaş Kılıç,et al.  Backtracking search algorithm-based optimal power flow with valve point effect and prohibited zones , 2014, Electrical Engineering.

[4]  T. Niknam,et al.  A modified teaching–learning based optimization for multi-objective optimal power flow problem , 2014 .

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

[6]  W. Tinney,et al.  Optimal Power Flow By Newton Approach , 1984, IEEE Transactions on Power Apparatus and Systems.

[7]  Salah Kamel,et al.  Optimal power flow for distribution systems with uncertainty , 2021 .

[8]  Mohd Herwan Sulaiman,et al.  Solving optimal power flow problem with stochastic wind–solar–small hydro power using barnacles mating optimizer , 2021 .

[9]  Mojtaba Ghasemi,et al.  An improved teaching–learning-based optimization algorithm using Lévy mutation strategy for non-smooth optimal power flow , 2015 .

[10]  Samir Sayah,et al.  Modified differential evolution algorithm for optimal power flow with non-smooth cost functions , 2008 .

[11]  Hany M. Hasanien,et al.  Optimal power flow solution in power systems using a novel Sine-Cosine algorithm , 2018, International Journal of Electrical Power & Energy Systems.

[12]  Seyedali Mirjalili,et al.  Equilibrium optimizer: A novel optimization algorithm , 2020, Knowl. Based Syst..

[13]  Pirmahamad Jamalbhai Vasovala Application of Ant Colony Optimization Technique in Economic Load Dispatch of IEEE-26 Bus System with Valve Point Loading , 2021 .

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

[15]  Kwang Y. Lee,et al.  An improved artificial bee colony optimization algorithm based on orthogonal learning for optimal power flow problem , 2017 .

[16]  A. Karami,et al.  Artificial bee colony algorithm for solving multi-objective optimal power flow problem , 2013 .

[17]  Tong Han,et al.  An Improved Equilibrium Optimizer with Application in Unmanned Aerial Vehicle Path Planning , 2021, Sensors.

[18]  Harish Pulluri,et al.  An enhanced self-adaptive differential evolution based solution methodology for multiobjective optimal power flow , 2017, Appl. Soft Comput..

[19]  Houssem Bouchekara,et al.  Solution of the optimal power flow problem considering security constraints using an improved chaotic electromagnetic field optimization algorithm , 2019, Neural Computing and Applications.

[20]  Bin Lu,et al.  C-UPFC: a new FACTS controller with 4 degrees of freedom , 2000, 2000 IEEE 31st Annual Power Electronics Specialists Conference. Conference Proceedings (Cat. No.00CH37018).

[21]  Zhongyuan Liang,et al.  Cuckoo Search Algorithm with Hybrid Factor Using Dimensional Distance , 2016 .

[22]  Masoud Dashtdar,et al.  Calculating the locational marginal price and solving optimal power flow problem based on congestion management using GA-GSF algorithm , 2020 .

[23]  Yalin Chen,et al.  A modified MOEA/D approach to the solution of multi-objective optimal power flow problem , 2016, Appl. Soft Comput..

[24]  Weerakorn Ongsakul,et al.  Optimal Power Flow by Improved Evolutionary Programming , 2006 .

[25]  Isa S. Qamber,et al.  The established mega watt linear programming-based optimal power flow model applied to the real power 56-bus system in eastern province of Saudi Arabia , 2008 .

[26]  William F. Tinney,et al.  Optimal Power Flow Solutions , 1968 .

[27]  A. Semlyen,et al.  Hydrothermal Optimal Power Flow Based on a Combined Linear and Nonlinear Programming Methodology , 1989, IEEE Power Engineering Review.

[28]  Salah Kamel,et al.  A comprehensive model of C-UPFC with innovative constraint enforcement techniques in load flow analysis , 2018 .

[29]  Salah Kamel,et al.  An improved version of salp swarm algorithm for solving optimal power flow problem , 2021, Soft Comput..

[30]  Srikrishna Subramanian,et al.  Grey wolf optimization for combined heat and power dispatch with cogeneration systems , 2016 .

[31]  Anbo Meng,et al.  A high-performance crisscross search based grey wolf optimizer for solving optimal power flow problem , 2021, Energy.

[32]  Kit Po Wong,et al.  Evolutionary programming based optimal power flow algorithm , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[33]  Gonggui Chen,et al.  Optimal Power Flow Using Gbest-Guided Cuckoo Search Algorithm with Feedback Control Strategy and Constraint Domination Rule , 2017 .

[34]  Boon-Teck Ooi,et al.  Mid-point siting of FACTS devices in transmission lines , 1997 .

[35]  V. H. Quintana,et al.  Sparse Reactive Power Scheduling by a Penalty Function???Linear Programming Technique , 1986, IEEE Power Engineering Review.

[36]  V. Quintana,et al.  Improving an interior-point-based OPF by dynamic adjustments of step sizes and tolerances , 1999 .

[37]  Harish Pulluri,et al.  A solution network based on stud krill herd algorithm for optimal power flow problems , 2018, Soft Comput..

[38]  A. Ramesh Kumar,et al.  Optimal power flow for a deregulated power system using adaptive real coded biogeography-based optimization , 2015 .

[39]  Sahand Ghavidel,et al.  Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study , 2014, Inf. Sci..

[40]  Wenyin Gong,et al.  Optimal power flow by means of improved adaptive differential evolution , 2020 .

[41]  Seyed Abbas Taher,et al.  New approach for optimal UPFC placement using hybrid immune algorithm in electric power systems , 2012 .

[42]  Uthen Leeton,et al.  Optimal power flow solution using improved harmony search method , 2013, Appl. Soft Comput..

[43]  Yongquan Zhou,et al.  An Efficient Binary Equilibrium Optimizer Algorithm for Feature Selection , 2020, IEEE Access.

[44]  Salah Kamel,et al.  Modified grasshopper optimization framework for optimal power flow solution , 2019, Electrical Engineering.

[45]  Serhat Duman,et al.  Symbiotic organisms search algorithm for optimal power flow problem based on valve-point effect and prohibited zones , 2017, Neural Computing and Applications.

[46]  A. Rabehi,et al.  Optimal estimation of Schottky diode parameters using a novel optimization algorithm: Equilibrium optimizer , 2020 .

[47]  Amilton C. Santos,et al.  Optimal-power-flow solution by Newton's method applied to an augmented Lagrangian function , 1995 .

[48]  A. Selvakumar,et al.  A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems , 2007, IEEE Transactions on Power Systems.

[49]  Xin-She Yang,et al.  Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).

[50]  Mohamed Nayel,et al.  Optimal Placement and Sizing of Wind Turbine Generators and Superconducting Magnetic Energy Storages in a Distribution System , 2021 .

[51]  Ragab A. El-Sehiemy,et al.  Optimal power flow using an Improved Colliding Bodies Optimization algorithm , 2016, Appl. Soft Comput..

[52]  Rafael Mihalic,et al.  Advanced modeling of center-node unified power flow controller in NR load flow algorithm , 2015 .

[53]  Taher Niknam,et al.  A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect , 2012 .

[54]  M. A. Abido,et al.  Optimal power flow using Teaching-Learning-Based Optimization technique , 2014 .

[55]  Josep M. Guerrero,et al.  A Harris Hawks Optimization Based Single- and Multi-Objective Optimal Power Flow Considering Environmental Emission , 2020 .

[56]  Salah Kamel,et al.  Solving Non-Smooth Optimal Power Flow Problems Using a Developed Grey Wolf Optimizer , 2018, Energies.

[57]  H. Happ,et al.  Quadratically Convergent Optimal Power Flow , 1984, IEEE Transactions on Power Apparatus and Systems.