Optimal Reactive Power Dispatch based on Modified JAYA Algorithm

Das, Tanmay; Roy, Ranjit; Mandal, Kamal Krishna

doi:10.1109/iccece48148.2020.9223111

Cited by 5 publications

(5 citation statements)

References 15 publications

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“…Minimized Power losses (PL) 57-bus system SCA 24.05 ABC [48] 24.1025 ISMA [49] 24.5856 MJAYA [50] 23.4705 MFOM [51] 24.2529 BBO [45] 24.54 GSA [46] 24.43 SOA [47] 24.2654 BSO [32] 24.37 OGWO [39] 24.72 OGWO-VCPI [52] 24.75 HHO-PSO [53] 24.46…”

Section: Meta-heuristic Techniquementioning

confidence: 99%

Optimal Solution of Reactive Power Dispatch in Transmission System to Minimize Power Losses Using Sine-Cosine Algorithm

et al. 2022

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Optimal reactive power dispatch (ORPD) has a crucial impact to enhance safety, reliability, and economical operation of the electric power system. ORPD is a non-linear, non-convex and mixed variable problem, which has been solved by many researchers via different meta-heuristic algorithms during the last decade. In this work, a novel algorithm named sinecosine algorithm (SCA) is utilized to solve ORPD problem by considering both dependent and independent control variable constraints. SCA has been tested and validated on standard 14, 30 and 57-bus power systems. To validate the superiority of proposed algorithm, the outcomes obtained through SCA are compared with recent published results attained through particle swarm optimization (PSO), modified Gaussian barebones teaching-learning based optimization (BBTLBO), ant bee colony optimization (ABCO), whale optimization algorithm (WOA) and backtracking search algorithms (BSA). The results attained using SCA show the improvement in the power losses minimization. Thus, with standard 14-bus system, the power losses are minimized from 0.04% to 4.78%. While, using standard 30-bus, the power losses are minimized from 0.4% to 3.4% and with standard 57-bus, power losses are reduced from 0.9% to 1.99%. Furthermore, a comparative analysis with 30 independent runs on the above-mentioned bus systems is performed to examine the functioning of the proposed method in terms of probability density function (PDF) and cumulative density function (CDF). For such analysis, well-known meta-heuristic algorithms such as PSO, WOA, differential evolution (DE) are compared with proposed SCA in solving the ORPD problem. The results of this analysis clearly show that proposed algorithm is robust, effective, and computationally easy in solving the ORPD problem compared to the existing meta-heuristic algorithms.

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Section: Meta-heuristic Techniquementioning

confidence: 99%

Optimal Solution of Reactive Power Dispatch in Transmission System to Minimize Power Losses Using Sine-Cosine Algorithm

et al. 2022

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“…It is applied to the IEEE-57, IEEE-118, and IEEE-300 bus systems. Das et.al [6] have presented a modified Jaya algorithm by introducing various combinations of addition and subtraction of the difference between the finest and inferior values with the current variables. It is applied to the IEEE-14 and IEEE-57 bus systems.…”

Section: Literature Surveymentioning

confidence: 99%

“…Meta-heuristic Techniques Minimum Power Losses MWAO 22.2876 SCA [10] 24.0500 ABC [4] 24.1025 ISMA [5] 24.5856 MJAYA [6] 23.4705 MFOM [7] 24.2529 BBO [1] 24.5400 GSA [2] 24.4300 SOA [3] 24.2654 BSO [29] 24.3700 OGWO [20] 24.7200 OGWO-VCPI [8] 24.7500 HHO-PSO [9] 24.4600…”

Section: Table 3: Comparison Of Best Value Of Active Power Loss Of Ie...mentioning

confidence: 99%

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Statistical Analysis of Modified Whale Optimization Algorithm for Active Power Loss Minimization

Sahay

Upputuri

Kumari

et al. 2022

Preprint

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Optimal reactive power dispatch has an influential impact on improving the power quality of different utilities connected to the power system. It is a non-linear, non-convex, mixed-integer type problem formulated to minimize the active power loss considering generator voltage, tap setting value, and reactive power compensation as a control variable. In this article, a novel modified whale optimization algorithm is applied to solve this problem. A non-linear adaptive weight and an improved golden sign operator are being used to modify the basic whale algorithm. It improves the randomness due to parameter variation and enlarges the search area for accurate global solutions. It prevents the algorithm from local convergence. It also improves the convergence speed as compared to the basic whale optimization algorithm. It is tested and verified on the standard IEEE-57 bus system and IEEE-118 bus system. The solutions given by this method are compared with that of recently developed techniques for proving its dominance over the other techniques. The power losses of the IEEE-57 bus system are reduced to 1.78% and for the IEEE-118 bus system are reduced to 2.66%. Additionally, the comparative statistical analysis is performed in terms of the probability density function and cumulative density function along with the Wilcoxon rank test on the above test systems for 30 independent runs. The statistical analysis results prove that this algorithm is highly efficient in solving this problem compared to other techniques.

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“…Ettappan et al 6 employed ABC to tackle issues related to reactive power management. Das et al 7 made changes in the updation process of the Jaya algorithm to boost the convergence speed. Sylvere et al 8 introduced a chaotic map into the BA to improve its global search ability.…”

Section: Introductionmentioning

confidence: 99%

An enhanced arithmetic optimization algorithm for optimal control of reactive power

Sahay,

Upputuri,

Kumari

et al. 2023

Optim Control Appl Methods

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In this article, an enhanced arithmetic optimization algorithm (EAOA) is utilized to resolve the optimal reactive power dispatch problem (ORPD) of power plants, which is a non‐linear, non‐smooth, complex optimization problem. Typically, it is formulated as a constrained optimal power flow problem. This paper utilizes the gamma distribution to generate initial random solutions, which improves the accuracy of the arithmetic optimization algorithm (AOA). The original mode of deviation of math optimizer accelerated (MOA) is replaced with the improved pattern of change in the prey's energy in Harris Hawk Optimization (HHO), which creates a superior balance between the exploration and exploitation of AOA. This paper implements logarithmic and exponential operators in place of division and multiplication operators, which improves the exploration ability of AOA and also utilizes the gamma distribution in the generation of random numbers, which are essential for the selection of operators in both search phase which enlarges the search area and improves the global optimum solution. A parametric analysis is performed on 10 benchmark functions for nine possible values before selecting the algorithm's initial parameters. A comparative statistical analysis along with Friedman's test is carried out on 23 benchmark functions to test the overall performance as compared to Sine‐Cosine Algorithm (SCA), Swarm‐Salp Algorithm, Grey Wolf Optimization (GWO), and basic Arithmetic Optimization Algorithm (AOA). EAOA is applied to the IEEE 57 bus system for optimal reactive power control. EAOA reports a significant reduction in a power loss of 23.2 MW, which is 18.596% smaller than the system's base case power loss of 28.5 MW as compared to Artificial Bee Colony (ABC), Firefly Algorithm (FA), Bat‐inspired Algorithm (BAT), Cuckoo Search Algorithm (CSA), and Modified Ant Lion Algorithm (MALO) which reports a reduction in a power loss of 14.73%, 15.43%, 15.43%, 16.14%, and 16.14% respectively. EAOA reduces the TVD to 0.76 pu, compared to ABC, FA, BAT, CSA, and MALO, which minimizes the TVD to 0.84, 0.82, 0.88, 0.82, and 0.79, respectively. This proves that EAOA performs better in resolving ORCP problems regarding the quality of solutions and convergence. A detailed comparative statistical analysis of EAOA with CSA, BAT, and WOA (Whale Optimization Algorithm) is conducted in terms of Probability Distribution Functions (PDF) and Cumulative Distribution Functions (CDF), along with the Wilcoxson sign rank test, which proves that EAOA gives the solution with a higher degree of precision.

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Optimal Reactive Power Dispatch based on Modified JAYA Algorithm

Cited by 5 publications

References 15 publications

Optimal Solution of Reactive Power Dispatch in Transmission System to Minimize Power Losses Using Sine-Cosine Algorithm

Optimal Solution of Reactive Power Dispatch in Transmission System to Minimize Power Losses Using Sine-Cosine Algorithm

Statistical Analysis of Modified Whale Optimization Algorithm for Active Power Loss Minimization

An enhanced arithmetic optimization algorithm for optimal control of reactive power

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