Economic Load Dispatch Using Adaptive Social Acceleration Constant Based Particle Swarm Optimization

Jain, Naresh C.; Nangia, Uma; Jain, Jyoti

doi:10.1007/s40031-018-0322-z

Cited by 15 publications

(5 citation statements)

References 13 publications

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“… 2017 ; Jain et al. 2018 ), Ant colony Optimizer (Pothiya et al. 2010 ), Cuckoo Search Algorithm (Basu and Chowdhury 2013 ), Firefly Algorithm (Sinha et al.…”

Section: Foundations To Economic Load Dispatch Problemmentioning

confidence: 99%

Economic load dispatch using memetic sine cosine algorithm

Al-Betar

Awadallah

Zitar

et al. 2022

J Ambient Intell Human Comput

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In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined load demand with accordance to a set of equality and inequality constraints. SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. As other optimization methods, SCA has main shortcoming in exploitation process when a non-linear constraints problem like ELD is tackled. Therefore, -hill climbing optimizer, a recent local search algorithm, is hybridized as a new operator in SCA to empower its exploitation capability to tackle ELD. The proposed hybrid algorithm is abbreviated as SCA- HC which is evaluated using two sets of real-world generation cases: (i) 3-units, two versions of 13-units, and 40-units, with neglected Ramp Rate Limits and Prohibited Operating Zones constraints. (ii) 6-units and 15-units with Ramp Rate Limits and Prohibited Operating Zones constraints. The sensitivity analysis of the control parameters for SCA- HC is initially studied. The results show that the performance of the SCA- HC algorithm is increased by tuning its parameters in proper value. The comparative evaluation against several state-of-the-art methods show that the proposed method is able to produce new best results for some tested cases as well as the second-best for others. In a nutshell, hybridizing HC optimizer as a new operator for SCA is very powerful algorithm for tackling ELD problems.

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“… 2017 ; Jain et al. 2018 ), Ant colony Optimizer (Pothiya et al. 2010 ), Cuckoo Search Algorithm (Basu and Chowdhury 2013 ), Firefly Algorithm (Sinha et al.…”

Section: Foundations To Economic Load Dispatch Problemmentioning

confidence: 99%

Economic load dispatch using memetic sine cosine algorithm

Al-Betar

Awadallah

Zitar

et al. 2022

J Ambient Intell Human Comput

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“…In this stage, the government is formed after the election. The leaders of the party and parliamentarians are categorical by using (10) and (15), respectively. Now, each parliamentarian updates his position by selecting another parliamentarian randomly if there is an improvement in fitness [26].…”

Section: Parliamentary Affairsmentioning

confidence: 99%

“…A multi-objective PSO is presented in [9] to solve the ELDP problem by minimizing the generation cost and transmission loss as two objective functions. A modified PSO technique has been suggested by making the best use of adaptive acceleration constant in [10]. Here, the acceleration constant best value is selected based on the optimum number of fitness evaluations.…”

Section: Introductionmentioning

confidence: 99%

Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer

Vedik¹,

Rangarajan

Shiva³

et al. 2021

Electronics

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In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective economic and emission load dispatch problem (EELDP). In the proposed QOPO technique, an opposite estimate candidate solution is performed simultaneously on each candidate solution of the political optimizer to find a better solution of EELDP. In the bi-objective EELDP, QOPSO is applied to simultaneously minimize fuel costs and emissions by considering various constraints such as the valve-point loading effect (VPLE) and generator limits for a generation. The effectiveness of the proposed QOPO technique has been applied on three units, six units, 10-units, 11-units, 13-units, and 40-unit systems by considering the VPLE, transmission line losses, and generator limits. The results obtained using the proposed QOPO are compared with those obtained by other techniques reported in the literature. The relative results divulge that the proposed QOPO technique has a good exploration and exploitation capability to determine the optimal global solution compared to the other methods provided in the literature without violation of any constraints and bounded limits.

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“…The ELD problem issue is solved in [9] by a multi-objective PSO that minimizes the transmission loss and generating cost as combined multi-objective functions. Making the most of adaptive acceleration constant has led to the suggestion of a modified PSO method in [10]. Based on the ideal number of fitness assessments, the optimal value for the acceleration constant is chosen in this case.…”

Section: Introductionmentioning

confidence: 99%

An application of Gorilla troops optimizer in solving the problem of economic load dispatch considering valve point loading effect

Wadood,

Ghani

2024

Eng. Res. Express

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— Economic load dispatch (ELD) is one of the fundamental and important optimization problems in an electrical power system. The goal of the ELD problem is to minimize the overall cost of fuel used by generators while satisfying the different constraints like power balance limitations, operational capacity limits, ramp-rate limits, and prohibited operating zones and valve point loading effect (VPLE). The paper introduces a novel optimization technique, termed Gorilla Troop Optimization (GTO), inspired by the mimic's behavior of gorilla troops, for solving the Economic Load Dispatch (ELD) Problem. The ELD Problem is assessed both with and without the valve-point effect, considering best, average, and worst fuel costs in dollars per hour ($/hr). The proposed GTO is applied to four different case studies to find the best global solution. The effectiveness of the GTO is evaluated using four distinct IEEE unit systems, including the IEEE 3-unit, 6-unit, 10-unit, and 40-unit test systems. From the simulation results, it has been realized that GTO show superior results as compared to other algorithms in terms of the total fuel cost minimization, convergence speed, and computation time to achieve the global optimal solution in all the case studies.

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Economic Load Dispatch Using Adaptive Social Acceleration Constant Based Particle Swarm Optimization

Cited by 15 publications

References 13 publications

Economic load dispatch using memetic sine cosine algorithm

Economic load dispatch using memetic sine cosine algorithm

Economic Emission Load Dispatch Problem with Valve-Point Loading Using a Novel Quasi-Oppositional-Based Political Optimizer

An application of Gorilla troops optimizer in solving the problem of economic load dispatch considering valve point loading effect

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