An emission constraint Economic Load Dispatch problem solution with Microgrid using JAYA algorithm

Bhoye, Motilal; Pandya, Mahesh H.; Valvi, Sagar; Trivedi, Indrajit N.; Jangir, Pradeep; Parmar, Siddharth A.

doi:10.1109/iceets.2016.7583805

Cited by 43 publications

(31 citation statements)

References 2 publications

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“…This pollution has numerous environmental and economical problematic consequences. The emission of the fossil fuel plants was comprehensively investigated . Variety of models for emission rate function were developed and reported in the literature .…”

Section: Eld Problem Formulationmentioning

confidence: 99%

“…The emission of the fossil fuel plants was comprehensively investigated . Variety of models for emission rate function were developed and reported in the literature . This article uses a quadratic model for the emission rate function,

E_{g}^{i} = a_{i} {(P_{g}^{i} (t))}^{2} + b_{i} P_{g}^{i} ((), t) + c_{i}

where

E_{g}^{i}

is the total emission of generating unit i , and P i is the output power.…”

Section: Eld Problem Formulationmentioning

confidence: 99%

“…The emission of the fossil fuel plants was comprehensively investigated. [50][51][52][53] Variety of models for emission rate function were developed and reported in the literature. [50][51][52][53] This article uses a quadratic model for the emission rate function, 52…”

Section: B Dr Costmentioning

confidence: 99%

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Ant lion optimizer versus particle swarm and artificial immune system for economical and eco‐friendly power system operation

Hatata

Hafez

2018

Int Trans Electr Energ Syst

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Summary Economic load dispatch (ELD) became recently a mandatory tool for reliable and economic power system operation. ELD improves the security of the power supply while minimizing the generation costs. Daily load curve imposes conflicting requirements on ELD scheme, such as fulfilling demand during peak periods while limiting the cost. Demand response (DR) is an intelligent approach that ensures load demand fulfillment without introducing additional costs. DR allows shifting the electricity consumption to the non‐peak periods. Therefore, DR could be considered as a virtual power plant. ELD is usually solved as nonlinear constraint optimization problem. Three simple, fertile, and robust meta‐heuristic optimizations are competing in this article for solving ELD incorporating DR as virtual power plant. These are ant lion optimizer (ALO), particle swarm optimization (PSO), and artificial immune system (AIS). The objectives are minimizing the overall cost, system losses, and emission levels. Variety of distinctive study systems are considered to test the functionality and feasibility of the proposed algorithms; they are 6‐bus, 30‐bus, and 118‐bus IEEE systems. MATLAB environment is used for coding ALO, PSO, AIS, and the systems under concern. The comprehensive results show that incorporating DR in ELD reduces the costs/losses/emissions without affecting the power system security and reliability. The comparative results verify the robustness and reliability of ALO in minimizing the overall operating cost and emission levels of the power systems under concern while confining with the constraints. Moreover, they show that ALO has the highest accuracy and convergence efficiency while enjoying the reduced computation storage and execution time.

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Section: Eld Problem Formulationmentioning

confidence: 99%

E_{g}^{i} = a_{i} {(P_{g}^{i} (t))}^{2} + b_{i} P_{g}^{i} ((), t) + c_{i}

where

E_{g}^{i}

is the total emission of generating unit i , and P i is the output power.…”

Section: Eld Problem Formulationmentioning

confidence: 99%

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Ant lion optimizer versus particle swarm and artificial immune system for economical and eco‐friendly power system operation

Hatata

Hafez

2018

Int Trans Electr Energ Syst

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“…An enhanced optimization method, namely Jaya, initiatively introduced by Rao [19], proves compact and efficient to use with great benefit related to no need any particular control coefficients. Thus, it has been quickly used and improved for optimally solving different problems in various sectors such as mechatronics (Kumar et al [20]; Rao et al [21]), neural model identification (Suraj and Ghosh [22]), electronics (Bhoye et al [23]), optimal civil problems (Venkata Rao and Saroj [24]; Du et al [25]; Cong et al [26]), control system implementation (Rao and More [27]; Rao and Saroj [28]) among others.…”

Section: Introductionmentioning

confidence: 99%

Optimal Walking Gait Generator for Biped Robot Using Modified Jaya Optimization Technique

Ánh¹,

Huan²

2020

IJCIS

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This paper treats the optimization of the biped walking trajectory that can be used as a reference trajectory for control. The biped robot is modeled as a kinetic chain of 11 links connected by 10 joints. The inverse kinematics of the biped is derived for the specified positions of the hips and feet. The objective is to optimize the biped robot able to stably and naturally walking with preset foot-lift magnitude (or preset hip-shift, or preset step-length). The stability of the biped robot is quantified by the distance between the ZMP and the foot center in the step cycle, which represents the first objective function. Additionally, for the biped robot to follow the preset foot-lift value, the difference between the magnitude of foot-lift value and the foot-lift preset value represents the second objective function. Specifically, we minimize the value of the two objective functions by considering the gait parameters of biped robot as variables. The new Jaya optimization algorithm is innovatively applied to optimize the biped gait parameters as to ensure the biped robot walking robustly and steadily. The efficiency of the proposed Jaya-based identification method is compared with the Genetic Algorithm (GA), the Particle Swarm Optimization (PSO), the Central Force Optimization (CFO) and improved Differential Evolution (DE) [Modified Differential Evolution (MDE)] algorithms. The simulation results tested on the real small-sized biped robot system HUBOT-4 demonstrate that the novel proposed algorithm offers an efficient and stable gait for biped robot with precise foot-lift value.

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“…An enhanced optimization method, such as Jaya, initiatively introduced by Rao, 19 proves to be compact and efficient to use with great benefit, which does not require any particular control coefficients. Thus, it has been quickly used and improved for optimally solving different problems in various sectors such as mechatronics, 20,21 neural model identification, 22 electronics, 23 optimal civil problems, [24][25][26] and control system implementation, 27,28 among others. Enhancing with promising applications of the Jaya optimization algorithm, this article intends to improve the Jaya approach for nature-walking gait optimization for humanoid robot.…”

Section: Introductionmentioning

confidence: 99%

Optimal nature-walking gait for humanoid robot using Jaya optimization algorithm

Huan

Ánh

Kien

2019

Advances in Mechanical Engineering

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This article proposes a new method used to optimize the design process of nature-walking gait generator that permits biped robot to stably and naturally walk with preset foot-lift magnitude. The new Jaya optimization algorithm is innovatively applied to optimize the biped gait four key parameters initiatively applied to ensure the uncertain nonlinear humanoid robot walks robustly and steadily. The efficiency of the proposed Jaya-based identification approach is compared with the central force optimization and improved differential evolution (modified differential evolution) algorithms. The simulation and experimental results tested on the original small-sized biped robot HUBOT-4 convincingly demonstrate that the novel proposed algorithm offers an efficient and stable gait for humanoid robots with precise height of foot-lift value.

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An emission constraint Economic Load Dispatch problem solution with Microgrid using JAYA algorithm

Cited by 43 publications

References 2 publications

Ant lion optimizer versus particle swarm and artificial immune system for economical and eco‐friendly power system operation

Ant lion optimizer versus particle swarm and artificial immune system for economical and eco‐friendly power system operation

Optimal Walking Gait Generator for Biped Robot Using Modified Jaya Optimization Technique

Optimal nature-walking gait for humanoid robot using Jaya optimization algorithm

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