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Journal ArticleDOI

Finding Solutions for Optimal Reactive Power Dispatch Problem by a Novel Improved Antlion Optimization Algorithm

01 Aug 2019-Energies (Multidisciplinary Digital Publishing Institute)-Vol. 12, Iss: 15, pp 2968
TL;DR: In this article, a novel improved antlion optimization algorithm (IALO) has been proposed for solving three different IEEE power systems of optimal reactive power dispatch (ORPD) problem.
Abstract: In this paper, a novel improved Antlion optimization algorithm (IALO) has been proposed for solving three different IEEE power systems of optimal reactive power dispatch (ORPD) problem. Such three power systems with a set of constraints in transmission power networks such as voltage limitation of all buses, limitations of tap of all transformers, maximum power transmission limitation of all conductors and limitations of all capacitor banks have given a big challenge for global optimal solution search ability of the proposed method. The proposed IALO method has been developed by modifying new solution generation technique of standard antlion optimization algorithm (ALO). By optimizing three single objective functions of systems with 30, 57 and 118 buses, the proposed method has been demonstrated to be more effective than ALO in terms of the most optimal solution search ability, solution search speed and search stabilization. In addition, the proposed method has also been compared to other existing methods and it has obtained better results than approximately all compared ones. Consequently, the proposed IALO method is deserving of a potential optimization tool for solving ORPD problem and other optimization problems in power system optimization fields.
Citations
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Journal ArticleDOI
TL;DR: This comprehensive study, which categorized the recent versions of ALO into 3 Categories mainly Modified, Hybrid and Multi-Objective, introduces an introduction about ALO and gives a conclusion of the main ALO foundations.
Abstract: Ant Lion Optimizer (ALO) is a recent novel algorithm developed in the literature that simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge number of optimization problems. It has many advantages: easy, scalable, flexible, and have a great balance between exploration and exploitation. In this comprehensive study, many publications using ALO have been collected and summarized. Firstly, we introduce an introduction about ALO. Secondly, we categorized the recent versions of ALO into 3 Categories mainly Modified, Hybrid and Multi-Objective. we also introduce the applications in which ALO has been applied such as power, Machine Learning, Image processing problems, Civil Engineering, Medical, etc. The review paper is ended by giving a conclusion of the main ALO foundations and providing some suggestions & possible future directions that can be investigated.

98 citations


Cites methods from "Finding Solutions for Optimal React..."

  • ...[119] proposed a novel version of ALO by replacing roulette wheel with new technique which classify antlions to 2 groups then, some novel equations are used to breakthrough steps to enhance diverse exploration...

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Journal ArticleDOI
20 Aug 2020-Energies
TL;DR: 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 and the result verifies that the proposed method is an efficient method for solving the OrPD compared with the state-of-the-art techniques.
Abstract: 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.

54 citations


Cites methods from "Finding Solutions for Optimal React..."

  • ...In terms of the VD, the MPA is converged at the 68th iteration, while the other algorithms are converged about or at 63th iteration QOTLBO [23], 70th iteration TLBO [23], 35th iteration PSO-TVIW [58], 65th iteration PSO-TVA [58], 95th iteration SPSO-TVAC [58], 35th iteration PSO-CF [58], 90th iteration PG-PSO [58], 30th iteration SWT-PSO [58], 40th iteration IPG-PSO [58], 430th iteration DE [15], 30th iteration IALO [13], 40th iteration ALO [13], 220th iteration GSA [26], 200th iteration PSO [26], 300th iteration GSA-CSS [26], 420th iteration IGSA-CSS [26]....

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  • ...In terms of the VD, the MPA is converged at the 68th iteration, while the other algorithms are converged about or at 63th iteration QOTLBO [23], 70th iteration TLBO [23], 35th iteration PSO-TVIW [58], 65th iteration PSO-TVA [58], 95th iteration SPSO-TVAC [58], 35th iteration PSO-CF [58], 90th iteration PG-PSO [58], 30th iteration SWT-PSO [58], 40th iteration IPGPSO [58], 430th iteration DE [15], 30th iteration IALO[13], 40th iteration ALO [13], 220th iteration GSA [26], 200th iteration PSO [26], 300th iteration GSA-CSS [26], 420th iteration IGSA-CSS [26]....

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  • ...• Swarm-based algorithms such as particle swarm optimization (PSO) [9], ant lion optimizer [10], whale optimization algorithm [11], improved social spider optimization algorithm [12], improved antlion optimization algorithm [13], and moth swarm algorithm [14]; • Evolutionary-based algorithms such as differential evolution [15], specialized genetic algorithm (SGA) [16], evolutionary programming [17], modified differential evolution [18], pareto evolutionary algorithm [19], comprehensive learning particle swarm optimization [20], and enhanced grey wolf optimizer (EGWO) [21]; • Human-based algorithms such as harmony search algorithm [22], teaching learning-based optimization [23], and biogeography-based optimization [24]; • Physical-based algorithms such as gravitational search algorithm [25], improved gravitational search algorithm [26], lightning attachment procedure optimization (LAPO) [27], modified sine cosine algorithm [28], and water cycle algorithm [29]; • Hybrid-based algorithms such as hybridization of the particle swarm optimization method and the tabu-search technique [30]....

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Journal ArticleDOI
TL;DR: In this paper, an improved slime mold algorithm (ISMA) was proposed to solve the optimal reactive power dispatch (ORPD) problem of a power system, and the experimental results show that ISMA performs well with respect to the mean (standard deviation), Friedman test, Wilcoxon test, and convergence curves.

47 citations

Journal ArticleDOI
TL;DR: In this article, Rao-3 is proposed to solve the constrained non-linear optimal reactive power dispatch problem in order to increase system efficiency and to maintain voltage under the acceptable value range.
Abstract: The appropriate control and management of reactive power is of great relevance in the electrical reliability, stability, and security of power grids. This issue is considered in order to increase system efficiency and to maintain voltage under the acceptable value range. In this regard, novel technologies as FACTS, renewable energies, among others, are varying conventional grid behavior leading to unexpected limit capacity reaching due to large reactive power flow. Thus, optimal planning of this must be considered. This paper proposes a new application for a simple and easy implementation optimization algorithm, called Rao-3, to solve the constrained non-linear optimal reactive power dispatch problem. Moreover, the integration of solar and wind energy as the most applied technologies in electric power systems are exploited. Due to the continuous variation and the natural intermittence of wind speed and solar irradiance as well as load demand fluctuation, the uncertainties which have a global concern are investigated and considered in this paper. The proposed single-objective and multi-objective deterministic/stochastic optimal reactive power dispatch algorithms are validated using three standard test power systems, namely IEEE 30-bus, IEEE 57-bus, and IEEE 118-bus. The simulation results show that the proposed optimal reactive power dispatch algorithms are superior compared with two recent algorithms (Artificial electric field algorithm (AEFA) and artificial Jellyfish Search (JS) algorithm) and other optimization algorithms used for solving the same problem.

41 citations

Journal ArticleDOI
TL;DR: This paper addresses the optimal reactive power dispatch (ORPD) problem using an improved version of the lightning attachment procedure optimization (LAPO), considering the uncertainties of the wind and solar RERs as well as load demand.
Abstract: Integrating renewable energy resources (RERs) has become the head of concern of the modern power system to diminish the dependence of using conventional energy resources. However, intermittent, weather dependent, and stochastic natural are the main features of RESs which lead to increasing the uncertainty of the power system. This paper addresses the optimal reactive power dispatch (ORPD) problem using an improved version of the lightning attachment procedure optimization (LAPO), considering the uncertainties of the wind and solar RERs as well as load demand. The improved lightning attachment procedure optimization (ILAPO) is proposed to boost the searching capability and avoid stagnation of the traditional LAPO. ILAPO is based on two improvements: i) Levy flight to enhance the exploration process, ii) Spiral movement of the particles to improve the exploitation process of the LAPO. The scenario-based method is used to generate a set of scenarios captured from the uncertainties of solar irradiance and wind speed as well as load demand. The proposed ILAPO algorithm is employed to, optimally, dispatch the reactive power in the presence of RERs. The power losses and the total voltage deviations are used as objective functions to be minimized. The proposed algorithm is validated using IEEE 30-bus system under deterministic and probabilistic conditions. The obtained results verified the efficacy of the proposed ILAPO for ORPD solution compared with the traditional LAPO and other reported optimization algorithms.

31 citations


Cites methods from "Finding Solutions for Optimal React..."

  • ...Thus, many efforts have been introduced for solving the ORPD by applying numerous optimization techniques including the Backtracking Search Optimizer (BSO) [2], Particle Swarm Optimization (PSO) [3], Ant Lion Optimizer (ALO) [4], Improved Ant Lion Optimization algorithm (IALO) [5], Whale Optimization Algorithm (WOA) [6], Improved Social Spider Optimization Algorithm (ISSO) [7], Differential Evolution (DE) [8], Moth Swarm Algorithm (MSA) [9], Evolutionary Algorithm (EA) [10], Modified Differential Evolution (MDE) [11], Jaya Algorithm (JA) [12], Modified Sine Cosine Algorithm (MSCA) [13], Lightning Attachment Procedure Optimization (LAPO) [14], Gravitational Search Algorithm (GSA) [15], Biogeography-Based Optimization (BBO) [16], Teaching Learning Based Optimization (TLBO) [17], Harmony Search Algorithm (HAS) [17], Grey Wolf Optimizer (GWO) [18], Comprehensive Learning Particle Swarm Optimization (CLPSO) [19], Chemical Reaction Optimization (CRO) [20], Improved Gravitational Search Algorithm (IGSA) [21], Improved Pseudo-Gradient Search Particle Swarm Optimization (IPG-PSO) [22], Firefly Algorithm (FA) [23], Fractional Particle Swarm Optimization Gravitational Search Algorithm [24], hybrid GWO-PSO optimization [25], Oppositional Salp Swarm Algorithm (OSSA) [26], diversity-enhanced particle swarm optimization (DEPSO) [27]....

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  • ...IPG-PSO Improved Pseudo-Gradient PSO ISSO Improved Social Spider Optimization JA Jaya Algorithm IDE Improved Differential Evolution IGSALAPO- Improved GSA-CSS CSS IALO Improved Antlion Optimization LAPO Lightning Attachment Procedure Optimization ILAPO Improved Lightning Attachment Procedure Optimization MSSA Modified Salp Swarm Algorithm ORPD Optimal Reactive Power Dispatch PSO Particle Swarm Optimization PSO-TVAC PSO with Time-Varying Acceleration Coefficients VOLUME 8, 2020 This work is licensed under a Creative Commons Attribution 4.0 License....

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References
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Journal ArticleDOI
TL;DR: The results of the test functions prove that the proposed ALO algorithm is able to provide very competitive results in terms of improved exploration, local optima avoidance, exploitation, and convergence, showing that this algorithm has merits in solving constrained problems with diverse search spaces.

2,265 citations

Journal ArticleDOI
TL;DR: In this article, a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA) is presented.
Abstract: Summary form only given, as follows. This paper presents a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA). VVC can be formulated as a mixed-integer nonlinear optimization problem (MINLP). The proposed method expands the original PSO to handle a MINLP and determines an online VVC strategy with continuous and discrete control variables such as automatic voltage regulator (AVR) operating values of generators, tap positions of on-load tap changer (OLTC) of transformers, and the number of reactive power compensation equipment. The method considers voltage security using a continuation power now and a contingency analysis technique. The feasibility of the proposed method is demonstrated and compared with reactive tabu search (RTS) and the enumeration method on practical power system models with promising results.

1,340 citations

Journal ArticleDOI
TL;DR: In this work, a seeker optimization algorithm (SOA)-based reactive power dispatch method is proposed, based on the concept of simulating the act of human searching, which is superior to the other listed algorithms and can be efficiently used for optimal reactivePower dispatch.
Abstract: Optimal reactive power dispatch problem in power systems has thrown a growing influence on secure and economical operation of power systems. However, this issue is well known as a nonlinear, multimodal and mixed-variable problem. In the last decades, computation intelligence-based techniques, such as genetic algorithms (GAs), differential evolution (DE) algorithms and particle swarm optimization (PSO) algorithms, etc., have often been used for this aim. In this work, a seeker optimization algorithm (SOA)-based reactive power dispatch method is proposed. The SOA is based on the concept of simulating the act of human searching, where the search direction is based on the empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple Fuzzy rule. In this study, the algorithm's performance is evaluated on benchmark function optimization. Then, the SOA is applied to optimal reactive power dispatch on standard IEEE 57- and 118-bus power systems, and compared with conventional nonlinear programming method, two versions of GAs, three versions of DE algorithms and four versions of PSO algorithms. The simulation results show that the proposed approach is superior to the other listed algorithms and can be efficiently used for optimal reactive power dispatch.

426 citations

Journal ArticleDOI
TL;DR: In this article, an evolutionary programming (EP) method was applied to optimal reactive power dispatch and voltage control for large-scale power systems, and the proposed method has been evaluated on the IEEE 30-bus system.
Abstract: This paper is concerned with application of evolutionary programming (EP) to optimal reactive power dispatch and voltage control of power systems. Practical implementation of the EP for global optimization problems of large-scale power systems has been considered. The proposed EP method has been evaluated on the IEEE 30-bus system. Simulation results, compared with those obtained using a conventional gradient-based optimization method, are presented to show the potential of application of the proposed method to power system economical operations. >

340 citations

Journal ArticleDOI
TL;DR: The proposed algorithm is used to find the settings of control variables such as generator voltages, tap positions of tap changing transformers and the amount of reactive compensation devices to optimize a certain object.

285 citations