Solving the Optimal Reactive Power Dispatch Using Marine Predators Algorithm Considering the Uncertainties in Load and Wind-Solar Generation Systems

The optimal reactive power dispatch (ORPD) problem is an important issue to assign the most efficient and secure operating point of the electrical system. The ORPD became a strenuous task, especially with the high penetration of renewable energy resources due to the intermittent and stochastic nature of wind speed and solar irradiance. In this paper, the ORPD is solved using a new natural inspired algorithm called the marine predators’ algorithm (MPA) considering the uncertainties of the load demand and the output powers of wind and solar generation systems. The scenario-based method is applied to handle the uncertainties of the system by generating deterministic scenarios from the probability density functions of the system parameters. The proposed algorithm is applied to solve the ORPD of the IEEE-30 bus system to minimize the power loss and the system voltage devotions. The result verifies that the proposed method is an efficient method for solving the ORPD compared with the state-of-the-art techniques.

[1]  Mohammed A A Al-Qaness,et al.  Marine Predators Algorithm for Forecasting Confirmed Cases of COVID-19 in Italy, USA, Iran and Korea , 2020, International journal of environmental research and public health.

[2]  Thang Trung Nguyen,et al.  Improved social spider optimization algorithm for optimal reactive power dispatch problem with different objectives , 2019, Neural Computing and Applications.

[3]  Nicolas E. Humphries,et al.  Environmental context explains Lévy and Brownian movement patterns of marine predators , 2010, Nature.

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

[5]  Chuangxin Guo,et al.  A multiagent-based particle swarm optimization approach for optimal reactive power dispatch , 2005 .

[6]  Hak-Man Kim,et al.  Double Deep $Q$ -Learning-Based Distributed Operation of Battery Energy Storage System Considering Uncertainties , 2020, IEEE Transactions on Smart Grid.

[7]  M. Kalantar,et al.  Optimal reactive power dispatch based on harmony search algorithm , 2011 .

[8]  L.D.B. Terra,et al.  Security-constrained reactive power dispatch , 1991, IEEE Power Engineering Review.

[9]  Mohammad Ali Abido,et al.  Differential evolution algorithm for optimal reactive power dispatch , 2011 .

[10]  V. H. Quintana,et al.  Reactive-Power Dispatch by Successive Quadratic Programming , 1989 .

[11]  Abdelghani Bekrar,et al.  Reactive Power Dispatch Optimization with Voltage Profile Improvement Using an Efficient Hybrid Algorithm , 2018, Energies.

[12]  K. Mahadevan,et al.  Comprehensive learning particle swarm optimization for reactive power dispatch , 2010, Appl. Soft Comput..

[13]  Behnam Mohammadi-Ivatloo,et al.  Probabilistic multi-objective optimal power flow considering correlated wind power and load uncertainties , 2016 .

[14]  Tarek Bouktir,et al.  Ant lion optimizer for solving optimal reactive power dispatch problem in power systems , 2017 .

[15]  S. Granville.  Optimal reactive dispatch through interior point methods , 1994 .

[16]  Amir H. Gandomi,et al.  Marine Predators Algorithm: A nature-inspired metaheuristic , 2020, Expert Syst. Appl..

[17]  Weerakorn Ongsakul,et al.  Optimal Reactive Power Dispatch Using Improved Pseudo-gradient Search Particle Swarm Optimization , 2016 .

[18]  Abhishek Rajan,et al.  Optimal reactive power dispatch using hybrid Nelder–Mead simplex based firefly algorithm , 2015 .

[19]  Ponnuthurai N. Suganthan,et al.  Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach , 2019, Appl. Soft Comput..

[20]  Abdelghani Bekrar,et al.  Whale optimization algorithm based optimal reactive power dispatch: A case study of the Algerian power system , 2017, Electric Power Systems Research.

[21]  Ziyad M. Salameh,et al.  Photovoltaic module-site matching based on the capacity factors , 1995 .

[22]  Mohamed Elhoseny,et al.  A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy , 2020, IEEE Access.

[23]  Abbas Rabiee,et al.  Optimal reactive power dispatch: a review, and a new stochastic voltage stability constrained multi-objective model at the presence of uncertain wind power generation , 2017 .

[24]  K. Lee,et al.  A United Approach to Optimal Real and Reactive Power Dispatch , 1985, IEEE Transactions on Power Apparatus and Systems.

[25]  Masoud Rashidinejad,et al.  On possibilistic and probabilistic uncertainty assessment of power flow problem: A review and a new approach , 2014 .

[26]  A. Rezaee Jordehi,et al.  Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems , 2017, Appl. Soft Comput..

[27]  Jinyu Wen,et al.  Optimal reactive power dispatch using an adaptive genetic algorithm , 1997 .

[28]  Ruey-Hsun Liang,et al.  A Fuzzy-Optimization Approach for Generation Scheduling With Wind and Solar Energy Systems , 2007, IEEE Transactions on Power Systems.

[29]  Abhijit R. Abhyankar,et al.  Real-Time Economic Dispatch Considering Renewable Power Generation Variability and Uncertainty Over Scheduling Period , 2015, IEEE Systems Journal.

[30]  D. Devaraj,et al.  Genetic algorithm based reactive power dispatch for voltage stability improvement , 2010 .

[31]  Mehdi Ehsan,et al.  A Probabilistic Modeling of Photo Voltaic Modules and Wind Power Generation Impact on Distribution Networks , 2012, IEEE Systems Journal.

[32]  David C. Yu,et al.  An Economic Dispatch Model Incorporating Wind Power , 2008, IEEE Transactions on Energy Conversion.

[33]  Provas Kumar Roy,et al.  Optimal location of STATCOM using chemical reaction optimization for reactive power dispatch problem , 2016 .

[34]  Thang Trung Nguyen,et al.  Finding Solutions for Optimal Reactive Power Dispatch Problem by a Novel Improved Antlion Optimization Algorithm , 2019, Energies.

[35]  Serhat Duman,et al.  Optimal reactive power dispatch using a gravitational search algorithm , 2012 .

[36]  Provas Kumar Roy,et al.  Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization , 2013 .

[37]  Claudio R. Fuerte-Esquivel,et al.  A Robust Optimization Approach for the Interdependency Analysis of Integrated Energy Systems Considering Wind Power Uncertainty , 2013, IEEE Transactions on Power Systems.

[38]  Alireza Soroudi,et al.  Decision making under uncertainty in energy systems: state of the art , 2013, ArXiv.

[39]  Lilan Liu,et al.  Optimal reactive power dispatch by improved GSA-based algorithm with the novel strategies to handle constraints , 2017, Appl. Soft Comput..

[40]  Q. H. Wu,et al.  Power system optimal reactive power dispatch using evolutionary programming , 1995 .

[41]  Siddhartha,et al.  Stochastic techniques used for optimization in solar systems: A review , 2012 .

[42]  Shaikh Saaqib Haroon,et al.  Solution to optimal reactive power dispatch in transmission system using meta-heuristic techniques―Status and technological review , 2020, Electric Power Systems Research.

[43]  Ignacio E. Grossmann,et al.  A simple heuristic for reducing the number of scenarios in two-stage stochastic programming , 2010, Comput. Chem. Eng..