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Journal articles on the topic 'Economic Load Dispatch (ELD)'

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Published: 3 June 2025

Last updated: 31 July 2025

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1

Lamba, Prof Kanika. "Economic Load Dispatch." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 1646–51. http://dx.doi.org/10.22214/ijraset.2021.35330.

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ELD or Economic load dispatch is an online process of allocating generating among the available generating units to minimize the total generating cost and satisfy the equality and inequality constraint. ELD means the real and reactive power of the generator vary within the certain limits and fulfils theload demand with less fuel cost. There are some traditional methods for = 1; 2; :::;N) isgiven as Vi=[Vi;1; Vi;2; :::; Vi;D]. The index ivaries from solving ELD include lambda irritation method, Newton-Raphson method, Gradient method, etc. All these traditional algorithms need the incremental fu

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2

Brar, Mandhir Singh, and Gursewak Singh Brar. "Economic Load Dispatch using IYSGA." European Journal of Theoretical and Applied Sciences 2, no. 1 (2024): 595–606. http://dx.doi.org/10.59324/ejtas.2024.2(1).52.

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The Economic Load Dispatch (ELD) problem is a pivotal aspect of power system management, focusing on the efficient allocation of power generation among various units to meet the demand while minimizing costs. This research paper presents an Improved Yellow Saddle Goat Fish Algorithm (IYSGA) based method for resolving ELD issues. The key objective of proposed IYSGA method is to reduce error between demanded and generated load along with its unit cost. This objective is accomplished by using YSGA whose exploration ability is improved by exploring ability of Grasshopper Optimization Algorithm (GO

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3

Mandhir, Singh Brar, and Singh Brar Gursewak. "Economic Load Dispatch using IYSGA." European Journal of Theoretical and Applied Sciences 2, no. 1 (2024): 595–606. https://doi.org/10.59324/ejtas.2024.2(1).52.

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The Economic Load Dispatch (ELD) problem is a pivotal aspect of power system management, focusing on the efficient allocation of power generation among various units to meet the demand while minimizing costs. This research paper presents an Improved Yellow Saddle Goat Fish Algorithm (IYSGA) based method for resolving ELD issues. The key objective of proposed IYSGA method is to reduce error between demanded and generated load along with its unit cost. This objective is accomplished by using YSGA whose exploration ability is improved by exploring ability of Grasshopper Optimization Algorithm (GO

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4

Singh, Nagendra, Tulika Chakrabarti, Prasun Chakrabarti, et al. "Novel Heuristic Optimization Technique to Solve Economic Load Dispatch and Economic Emission Load Dispatch Problems." Electronics 12, no. 13 (2023): 2921. http://dx.doi.org/10.3390/electronics12132921.

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The fundamental objective of economic load dispatch is to operate the available generating units such that the needed load demand satisfies the lowest generation cost and also complies with the various constraints. With proper power system operation planning using optimized generation limits, it is possible to reduce the cost of power generation. To fulfill the needs of such objectives, proper planning and economic load dispatch can help to plan the operation of the electrical power system. To optimize the economic load dispatch problems, various classical and new evolutionary optimization app

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Et.al, Aditya Tiwari. "Solving Economic Load Dispatch Problem UsingParticle Swarm Optimization Technique." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 3203–9. http://dx.doi.org/10.17762/turcomat.v12i3.1565.

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Economic load dispatch (ELD)is one of the important problems ofpower system operation. Conventional methods like Lambda iteration methodare not efficientfor complex ELD problems. Particle swarm optimization is preferred in ELD problem due to its high performance.The Inertia Weight PSO and Constriction Factor PSO algorithms are performed on threeunit and sixunit systems. The analysis of ELD problem is performed by Conventional method and PSO method. In this paper,losses are neglected in the ELD problem. PSO algorithm obtains the best solution forELD problem.

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Athab, Falah Abodahir, and Wafaa Saeed Majeed. "Economic power dispatch for an interconnected power system based on reliability indices." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (2020): 777. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp777-787.

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Reliability indices are always one of the most important factors in the power systems. In this paper, the problem of the economic load dispatch (ELD) and the problem of economic emission load dispatch (CEELD) have been improved taking into account reliability indices. That is, the problem and reliability of ELD are proposed as combined economic load dispatch reliability (CELDR) and the problem CEELD is suggested as (CEELDR). In solving CELDR and CEELDR problems, tried to use power generators in a very reliable way to save system load, as well as minimum fuel and emission costs. In this effort,

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Singh, Pragya, and Aayushi Priya. "A Comprehensive Review on Economic Load Dispatch using Evolutionary Approach." SMART MOVES JOURNAL IJOSCIENCE 3, no. 2 (2017): 7. http://dx.doi.org/10.24113/ijoscience.v3i2.172.

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Economic Load Dispatch, ELD can be defined as the way of allocating the load level to the generators of the power plant in such a way that the total demand would be supplied in a most economic manner and completely. In a practical power system, the power plants are not located at the same distance from the centre of loads and their fuel costs are different. Also, under normal operating conditions, the generation capacity is more than the total load demand and losses. Thus, there are many options for scheduling generation. In an interconnected power system, the objective is to find the real and

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A. Athab, Falah, and Wafaa S. Majeed. "SOLVING ECONOMIC LOAD DISPATCH WITH RELIABILITY INDICATORS." Journal of Engineering and Sustainable Development 24, no. 06 (2020): 103–14. http://dx.doi.org/10.31272/jeasd.24.6.9.

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Due to the great importance of reliable indicators in electrical operating systems in all its different parts, it has been considered the most important factors in the design and maintenance of the electrical system, especially during its operation. The main reason for attention to reliability indicators relates to interruptions in the power system that are provided to consumers. The introduction of reliable indicators to solving an economic load dispatch (ELD) issue increases the possibility of providing customers with a required load with the highest degree of reliability. The ELD issue has

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9

V.P., Sakthivel, Suman M., and Sathya P.D. "Large-scale economic load dispatch using squirrel search algorithm." International Journal of Energy Sector Management 14, no. 6 (2020): 1351–80. http://dx.doi.org/10.1108/ijesm-02-2020-0012.

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Purpose Economic load dispatch (ELD) is one of the crucial optimization problems in power system planning and operation. The ELD problem with valve point loading (VPL) and multi-fuel options (MFO) is defined as a non-smooth and non-convex optimization problem with equality and inequality constraints, which obliges an efficient heuristic strategy to be addressed. The purpose of this study is to present a new and powerful heuristic optimization technique (HOT) named as squirrel search algorithm (SSA) to solve non-convex ELD problems of large-scale power plants. Design/methodology/approach The su

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10

Athab, Falah Abodahir, and Wafaa Saeed Majeed. "Economic power dispatch for an interconnected power system based on reliability indices." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (2020): 777–87. https://doi.org/10.11591/ijeecs.v20.i2.pp 777 - 787.

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Reliability indices are always one of the most important factors in the power systems. In this paper, the problem of the economic load dispatch(ELD) and the problem of combined economic emission load dispatch(CEELD) have been improved taking into account reliability indices. That is, the problem of reliability and ELD are proposed as combined economic load dispatch reliability(CELDR) and the problem of CEELD and reliability are suggested as (CEELDR). In solving CELDR and CEELDR problems, tried to use power generators in a very reliable way to save system load, as well as minimum fuel and emiss

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11

Said, Mokhtar, Essam H. Houssein, Eman Abdullah Aldakheel, Doaa Sami Khafaga, and Alaa A. K. Ismaeel. "Performance of the Walrus Optimizer for solving an economic load dispatch problem." AIMS Mathematics 9, no. 4 (2024): 10095–120. http://dx.doi.org/10.3934/math.2024494.

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<abstract> <p>A new metaheuristic called the Walrus Optimizer (WO) is inspired by the ways in which walruses move, roost, feed, spawn, gather, and flee in response to important cues (safety and danger signals). In this work, the WO was used to address the economic load dispatch (ELD) issue, which is one of the essential parts of a power system. One type of ELD was designed to reduce fuel consumption expenses. A variety of methodologies were used to compare the WO's performance in order to determine its reliability. These methods included rime-ice algorithm (RIME), moth search algor

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S, Nagaraju. "Comparison of the PSO Algorithm and JAYA Algorithm for Economic Load Dispatch." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30314.

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The electrical power industry has undergone the significant changes, leading to a competitive market and the need for optimal economic dispatch solutions. As energy resources becoming scarce, prices rise, environmental concerns intensify, and electricity consumption increases, classical optimization techniques struggle to handle these complex issues. This project compares particle swarm optimization (PSO) and JAYA optimization method for economic load dispatch (ELD) problems in the electrical power industry. PSO has gained recognition as an effective solution for ELD problems in the last decad

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Maharana, Himanshu Shekhar, and Saroj Kumar Dash. "Dual objective multiconstraint swarm optimization based advanced economic load dispatch." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 1924. http://dx.doi.org/10.11591/ijece.v11i3.pp1924-1932.

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In electric power system, the vital topic to be mooted is economic load dispatch (ELD). It is a non-linear problem with some unavoidable constraints such as valve point loading and ramp rate constraint. For solving ELD problem distint methods were devised and tried for different electric supply systems yielding slow convergence rates. To achieve fast convergence, dual objective multi constraint swarm optimization based advanced economic load dispatch (DOMSOBAELD) algorithm is proposed making use of simulated values of real power outages of a thermal power plant as initial estimates for PSO tec

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Himanshu, Shekhar Maharana, and Kumar Dash Saroj. "Dual objective multiconstraint swarm optimization based advanced economic load dispatch." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 3 (2021): 1924–32. https://doi.org/10.11591/ijece.v11i3.pp1924-1932.

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In electric power system, the vital topic to be mooted is economic load dispatch (ELD). It is a non-linear problem with some unavoidable constraints such as valve point loading and ramp rate constraint. For solving ELD problem distint methods were devised and tried for different electric supply systems yielding slow convergence rates. To achieve fast convergence, dual objective multi constraint swarm optimization based advanced economic load dispatch (DOMSOBAELD) algorithm is proposed making use of simulated values of real power outages of a thermal power plant as initial estimates for PSO tec

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15

Said, Mokhtar, Ali M. El-Rifaie, Mohamed A. Tolba, Essam H. Houssein, and Sanchari Deb. "An Efficient Chameleon Swarm Algorithm for Economic Load Dispatch Problem." Mathematics 9, no. 21 (2021): 2770. http://dx.doi.org/10.3390/math9212770.

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Economic Load Dispatch (ELD) is a complicated and demanding problem for power engineers. ELD relates to the minimization of the economic cost of production, thereby allocating the produced power by each unit in the most possible economic manner. In recent years, emphasis has been laid on minimization of emissions, in addition to cost, resulting in the Combined Economic and Emission Dispatch (CEED) problem. The solutions of the ELD and CEED problems are mostly dominated by metaheuristics. The performance of the Chameleon Swarm Algorithm (CSA) for solving the ELD problem was tested in this work.

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Manohar Kalgunde. "Economic Load Dispatch for Thermal Power Plants using Excel Solver." Panamerican Mathematical Journal 34, no. 2 (2024): 254–61. http://dx.doi.org/10.52783/pmj.v34.i2.1104.

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Economic load dispatch (ELD) is a technique used in power system operation to determine the optimal allocation of power generation among available generators to meet the system demand while minimizing the total operating cost. The goal of ELD is to achieve a balance between the demand for electricity and the supply of electricity in the most cost-effective manner. Excel Solver is one of the powerful add-in tools in Microsoft Excel which can be utilized to find global optimum solution for a given optimization problem. It allows users to find the optimal solution to a variety of problems by adju

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17

Khobaragade, Tejaswita, and K. T. Chaturvedi. "Enhanced Economic Load Dispatch by Teaching–Learning-Based Optimization (TLBO) on Thermal Units: A Comparative Study with Different Plug-in Electric Vehicle (PEV) Charging Strategies." Energies 16, no. 19 (2023): 6933. http://dx.doi.org/10.3390/en16196933.

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This research paper presents an enhanced economic load dispatch (ELD) approach using the Teaching–Learning-Based Optimization (TLBO) algorithm for 10 thermal units, examining the impact of Plug-in Electric Vehicles (PEVs) in different charging scenarios. The TLBO algorithm was utilized to optimize the ELD problem, considering the complexities associated with thermal units. The integration of PEVs in the load dispatch optimization was investigated, and different charging profiles and probability distributions were defined for PEVs in various scenarios, including overall charging profile, off-pe

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Abba-Gana, Modu, Zainab Musa Gwoma, and Isa Muhammad Sani. "Whale Optimization Technique Based Economic Load Dispatch." ABUAD Journal of Engineering Research and Development (AJERD) 7, no. 2 (2024): 207–15. http://dx.doi.org/10.53982/ajerd.2024.0702.20-j.

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This study concentrates on optimizing the Economic Load Dispatch (ELD) for three major Nigerian power systems: Sapele, Jebba, and Egbin. These systems, each comprising varying numbers of generating units and facing fluctuating load demands ranging from 300 MW to 1000 MW, necessitate efficient resource allocation to minimize operational expenses. Employing the innovative Whale Optimization Algorithm (WOA), inspired by the cooperative behaviour of humpback whales, this research tackles the intricate non-linear characteristics of the ELD problem. The primary goal is to determine the ideal power g

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Singh, O. V., and M. Singh. "A Comparative Analysis on Economic Load Dispatch Problem Using Soft Computing Techniques." International Journal of Software Science and Computational Intelligence 12, no. 2 (2020): 50–73. http://dx.doi.org/10.4018/ijssci.2020040104.

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This article aims at solving economic load dispatch (ELD) problem using two algorithms. Here in this article, an implementation of Flower Pollination (FP) and the BAT Algorithm (BA) based optimization search algorithm method is applied. More than one objective is hoped to be achieve in this article. The combined economic emission dispatch (CEED) problem which considers environmental impacts as well as the cost is also solved using the two algorithms. Practical problems in economic dispatch (ED) include both nonsmooth cost functions having equality and inequality constraints which make it diffi

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Ragunathan, Ramamoorthi, and Balamurugan Ramadoss. "Golden jackal optimization for economic load dispatch problems with complex constraints." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 781–93. http://dx.doi.org/10.11591/eei.v13i2.6572.

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This research paper uses the golden jackal optimization (GJO), a novel meta-heuristic algorithm, to address power system economic load dispatch (ELD) problems. The GJO emulates the hunting behavior of golden jackals. GJO algorithm uses the cooperative attacking behavior of golden jackals to tackle complicated optimization problems efficaciously. The objective of ELD problem is to distribute power system load requirement to the different generators with a minimum total fuel cost of generation. ELD problems are highly complex, non-linear, and non-convex optimization problems while considering co

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Pradhan, Moumita, Provas Kumar Roy, and Tandra Pal. "Economic Load Dispatch Using Oppositional Backtracking Search Algorithm." International Journal of Energy Optimization and Engineering 6, no. 2 (2017): 79–97. http://dx.doi.org/10.4018/ijeoe.2017040105.

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In this paper, an oppositional backtracking search algorithm (OBSA) is proposed to solve the large scale economic load dispatch (ELD) problem. The main drawback of the conventional backtracking search algorithm (BSA) is that it produces a local optimal solution rather than the global optimal solution. The proposed OBSA methodology is a highly-constrained optimization problem has to minimize the total generation cost by satisfying several constraints involving load demand, generation limits, prohibited operating zone, ramp rate limits and valve point loading effect. The proposed method is appli

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R, Ramamoorthi, and Balamurugan R. "Solving Economic Load Dispatch Problem Using Grey Wolf Optimization Algorithm." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2556–62. http://dx.doi.org/10.22214/ijraset.2023.52161.

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Abstract: This article presents a new evolutionary optimization approach named grey wolf optimization (GWO), which is based on the behavior of grey wolves, for the optimal operating strategy of economic load dispatch (ELD). Nonlinear characteristics of generators like ramp rate limits, valve point discontinuities and prohibited operating zones are considered in the problem. GWO method does not require any information about the gradient of the objective function, while searching for an optimum solution. The GWO algorithm concept appears to be a robust and reliable optimization algorithm is appl

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Shaban, Ahmed Ewis, Alaa A. K. Ismaeel, Ahmed Farhan, Mokhtar Said, and Ali M. El-Rifaie. "Growth Optimizer Algorithm for Economic Load Dispatch Problem: Analysis and Evaluation." Processes 12, no. 11 (2024): 2593. http://dx.doi.org/10.3390/pr12112593.

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The Growth Optimizer algorithm (GO) is a novel metaheuristic that draws inspiration from people’s learning and introspection processes as they progress through society. Economic Load Dispatch (ELD), one of the primary problems in the power system, is resolved by the GO. To assess GO’s dependability, its performance is contrasted with a number of methods. These techniques include the Rime-ice algorithm (RIME), Grey Wolf Optimizer (GWO), Elephant Herding Optimization (EHO), and Tunicate Swarm Algorithm (TSA). Also, the GO algorithm has the competition of other literature techniques such as Monar

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Çetinkaya, Nurettin, Abdullah Ürkmez, İsmet Erkmen, and Tankut Yalçinöz. "A New Algorithm and Computation Approach for Economic Dispatch with Prohibited Operating Zones in Power Systems." Energy Exploration & Exploitation 23, no. 4 (2005): 267–75. http://dx.doi.org/10.1260/014459805775219148.

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This paper presents a new algorithm and computation approach to solve the economic load dispatch (ELD) in electrical power systems. We applied a new power formula to solve the ELD problem. If production units cost curves are represented properly then ELD becomes more correct. In this respect we assumed that production units have prohibited operating zones. Cost curves of the production units are generally accepted as piece-wise quadratic function. The power production is cheaper since we do not use the production units in the prohibited operating zones. The proposed method and algorithm are co

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Ismaeel, Alaa A. K., Essam H. Houssein, Doaa Sami Khafaga, Eman Abdullah Aldakheel, Ahmed S. AbdElrazek, and Mokhtar Said. "Performance of Osprey Optimization Algorithm for Solving Economic Load Dispatch Problem." Mathematics 11, no. 19 (2023): 4107. http://dx.doi.org/10.3390/math11194107.

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The osprey optimization algorithm (OOA) is a new metaheuristic motivated by the strategy of hunting fish in seas. In this study, the OOA is applied to solve one of the main items in a power system called economic load dispatch (ELD). The ELD has two types. The first type takes into consideration the minimization of the cost of fuel consumption, this type is called ELD. The second type takes into consideration the cost of fuel consumption and the cost of emission, this type is called combined emission and economic dispatch (CEED). The performance of the OOA is compared against several technique

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Ly, Huu Pham, Trung Nguyen Thang, Duc Pham Lam, and Hoang Nguyen Nam. "Stochastic fractal search based method for economic load dispatch." TELKOMNIKA Telecommunication, Computing, Electronics and Control 17, no. 5 (2019): 2535–46. https://doi.org/10.12928/TELKOMNIKA.v17i5.12539.

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This paper presents a nature-inspired meta-heuristic, called a stochastic fractal search based method (SFS) for coping with complex economic load dispatch (ELD) problem. Two SFS methods are introduced in the paper by employing two different random walk generators for diffusion process in which SFS with Gaussian random walk is called SFS-Gauss and SFS with Levy Flight random walk is called SFS-Levy. The performance of the two applied methods is investigated comparing results obtained from three test system. These systems with 6, 10, and 20 units with different objective function forms and diffe

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Roy, Subhajit, Kuntal Bhattacharjee, and Aniruddha Bhattacharya. "A Modern Approach to Solve of Economic Load Dispatch using Group Leader Optimization Technique." International Journal of Energy Optimization and Engineering 6, no. 1 (2017): 66–85. http://dx.doi.org/10.4018/ijeoe.2017010104.

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Economic load dispatch plays an important role of power system operation & control by using different soft techniques that have been used to solve convex and non-convex economic load dispatch (ELD) problems. This paper presents a new global optimization algorithm to the economic load dispatch problems for minimization of fuel cost of generations with different constraints such as ramp rate limits, valve-point loading and prohibited operating zones of large-scale thermal plants. Power transmission loss has also been considered in few cases. Group leader optimization algorithm (GLOA) is a re

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Nguyen, Trung Thang, Duy Phuong Nguyen, Van Thanh Pham, and Trong Hien Chiem. "An Effectively Modified Firefly Algorithm for Economic Load Dispatch Problem." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 5 (2018): 2436–43. https://doi.org/10.12928/TELKOMNIKA.v16i5.10545.

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This paper proposes an effectively modified firefly algorithm (EMFA) for searching optimal solution of economic load dispatch (ELD) problem. The proposed method is developed by improving the procedure of new solution generation of conventional firefly algorithm (FA). The performance of EMFA is compared to FA variants and other existing methods by testing on four different systems with different types of objective function and constraints. The comparison indicates that the proposed method can reach better optimal solutions than other FA variants and most other existing methods with lower popula

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Yasin, Z. M., N. F. A. Aziz, N. A. Salim, N. A. Wahab, and N. A. Rahmat. "Optimal Economic Load Dispatch using Multiobjective Cuckoo Search Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 168. http://dx.doi.org/10.11591/ijeecs.v12.i1.pp168-174.

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In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to

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Z., M. Yasin, F. A. Aziz N., A. Salim N., A. Wahab N., and A. Rahmat N. "Optimal Economic Load Dispatch using Multiobjective Cuckoo Search Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 1 (2018): 168–74. https://doi.org/10.11591/ijeecs.v12.i1.pp168-174.

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In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to

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Sanjay, Yadav, and Patidar Lavkesh. "Optimize Scheduling of Generating Unit for Economic Load Dispatch using ANN: A Review." Journal of Power Electronics and Devices 5, no. 1 (2019): 1–7. https://doi.org/10.5281/zenodo.2537444.

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<em>Electrical power frameworks are structured and worked to meet the nonstop variety of intensity request. In power framework limiting, the task cost is critical. Monetary Load Dispatch (ELD) is a strategy to plan the power generator yields regarding the heap requests, and to work the power framework most financially, or at the end of the day, we can say that primary target of financial load dispatch is to distribute the ideal power age from various units at the least cost conceivable while meeting all framework imperatives Over the years, numerous endeavors have been made to tackle the ELD i

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Safari, Amin, and Davoud Sheibai. "Artificial bee colony algorithm for economic load dispatch with wind power energy." Serbian Journal of Electrical Engineering 13, no. 3 (2016): 347–60. http://dx.doi.org/10.2298/sjee1603347s.

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This paper presents an efficient Artificial Bee Colony (ABC) algorithm for solving large scale economic load dispatch (ELD) problems in power networks. To realize the ELD, the valve-point loading effect, system load demand, power losses, ramp rate limits and prohibited operation zones are considered here. Simulations were performed on four different power systems with 3, 6, 15 and 40 generating units and the results are compared with two forms of power systems, one power system is with a wind power generator and other power system is without a wind power generator. The results of this study re

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Bulbul, Sk Md Ali, and Provas Kumar Roy. "Adaptive Teaching Learning Based Optimization Applied to Nonlinear Economic Load Dispatch Problem." International Journal of Swarm Intelligence Research 5, no. 4 (2014): 1–16. http://dx.doi.org/10.4018/ijsir.2014100101.

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Economic load dispatch (ELD) is a process of calculating real power dispatch by satisfying a set of constraints such a way as fuel cost can be minimized. Inclusion of the effect of valve-points and prohibited operation zones (POZs) in the cost functions make ELD problem a non-linear and non-convex one. For solving ELD in power system a newly proposed evolutionary technique namely adaptive teaching learning based optimization (ATLBO) is presented in this article. TLBO mimics the influence of a teacher on students in a classroom environment by social interaction. ATLBO is an improved version of

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S, Logadeep, Hariraam N N, and Sujatha Balaraman. "Optimizing ELD in power systems applying GWO: A Practical Approach." June 2024 6, no. 2 (2024): 128–39. http://dx.doi.org/10.36548/jscp.2024.2.002.

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Addressing the Economic load Dispatch (ELD) Problem in power systems is crucial for minimizing generation cost and transmission losses while meeting the load demand. This research explores the application of Grey Wolf Optimization (GWO) to solve the ELD problem, leveraging ‘GWO’s inspiration from grey wolf social behavior. Through simulation, ‘GWO’s superior convergence speed and solution quality compared to traditional techniques is demonstrated. The finding highlights ‘GWO’s effectiveness in enhancing the economic and operational efficiency of power systems, offering promising avenues for su

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Kashyap, Manish, Dr Achala Jain, and Vinita Swarnakar. "Economic Load Dispatch by Improved Drone Optimization Technique." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 2 (2022): 149–52. http://dx.doi.org/10.35940/ijrte.b7180.0711222.

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In this paper, the ELD problem is resolved via ABC (Artificial BEE Colony) technique. The major goal of this study is to use the IDO method to present very efficient & reliable approach for solving ED problem in Power system. The suggested approach is used to solve a variety of non-convex ED issues, including banned operating zones with ramp rate constraints. This problem is described as an optimization of the objective function and minimization of the overall operating cost while gratifying all allied constraints, accompanied by the lowest down & up time limitations, startup cost, and

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Manish, Kashyap, Achala Jain Dr., and Swarnakar Vinita. "Economic Load Dispatch by Improved Drone Optimization Technique." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 2 (2022): 149–52. https://doi.org/10.35940/ijrte.B7180.0711222.

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<strong>Abstract: </strong>In this paper, the ELD problem is resolved via ABC (Artificial BEE Colony) technique. The major goal of this study is to use the IDO method to present very efficient & reliable approach for solving ED problem in Power system. The suggested approach is used to solve a variety of non-convex ED issues, including banned operating zones with ramp rate constraints. This problem is described as an optimization of the objective function and minimization of the overall operating cost while gratifying all allied constraints, accompanied by the lowest down & up time lim

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Aristidis, Vlachos. "Particle Swarm Optimization (PSO) techniques solving Economic Load Dispatch (ELD) Problem." Journal of Statistics and Management Systems 11, no. 4 (2008): 761–69. http://dx.doi.org/10.1080/09720510.2008.10701341.

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Vlachos, A., I. Petikas, and S. Kyriakides. "Economic Load Dispatch (ELD) problem based on a Memetic Algorithm (MA)." Journal of Statistics and Management Systems 14, no. 5 (2011): 975–93. http://dx.doi.org/10.1080/09720510.2011.10701596.

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Ritu, Sharma, Sharma Raginee, and Achala Jain Dr. "A Comparative Analysis of a Hybrid System with Hybrid Methodologies." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 11, no. 7 (2022): 17–20. https://doi.org/10.35940/ijitee.G9969.0611722.

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<strong>Abstract</strong>: Economic Load Dispatch (ELD) is an important optimization problem in the energy system. Economic Dispatch (ED) is a short-term determination of the optimal performance of a set of power generation assets to meet the system load at the lowest possible cost, taking into account transmission and operational constraints. Economic dispatch problems are solved by dedicated computer software that needs to take into account the operational and system limitations of available resources and corresponding transmission functions. Economic load balancing provides optimal cost sav

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Banerjee, Sumit, Chandan Chanda, and Deblina Maity. "A Comparative Study of Improved Teaching Learning Based Optimization Technique on Economic Load Dispatch Problem with Generator Constraints." International Journal of Energy Optimization and Engineering 5, no. 4 (2016): 1–25. http://dx.doi.org/10.4018/ijeoe.2016100101.

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This article presents a novel improved teaching learning based optimization (I-TLBO) technique to solve economic load dispatch (ELD) problem of the thermal plant without considering transmission losses. The proposed methodology can take care of ELD problems considering practical nonlinearities such as ramp rate limit, prohibited operating zone and valve point loading. The objective of economic load dispatch is to determine the optimal power generation of the units to meet the load demand, such that the overall cost of generation is minimized, while satisfying different operational constraints.

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reddy, Y. V. Krishna, Naga Venkata Ramakrishna G, Prof (Dr ). Mohammad Israr, Buddaraju Revathi, Dr Pavithra G, and Dr Nageswara Rao Lakkimsetty. "Economic Load Dispatch of Thermal-Solar-Wind System using Modified Grey Wolf Optimization Technique." International Journal of Electrical and Electronics Research 12, no. 3 (2024): 926–33. http://dx.doi.org/10.37391/ijeer.120324.

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The growing demand for electrical energy, coupled with the uneven distribution of natural resources, necessitates the integration of power plants. Coordinating the operation of interconnected generating units is crucial to meet the fluctuating load demand efficiently. This research focuses on the Economic Load Dispatch (ELD) problem in hybrid power systems that incorporate solar thermal and wind energy. Renewable energy resources, such as wind and solar thermal energy, depend on atmospheric conditions like wind speed, solar radiation, and temperature. This study addresses the ELD problem using

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Gihare, Sonam, and Prof Arun Pachori. "A Deep Neural Network Approach for Optimizing Economic Load Dispatch in Power Systems." International Journal of Advances in Engineering and Management 6, no. 10 (2024): 568–75. https://doi.org/10.35629/5252-0610568575.

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To ensure minimization of power losses as well as economic feasibility of electrical power generation, economic load dispatch happens to be one of the most challenging optimization problems which is faced in electrical engineering. With the advent of distributed power systems, an interconnection of power systems generating from different sources have come into consideration. However, all sources do not operate in the same manner and hence the generation cost for different sources varies significantly. Economic Load Dispatch (ELD) can be defined as a technique to schedule the power generator ou

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Saha, Bikram, Provas Kumar Roy, and Barun Mandal. "Economic Load Dispatch Incorporating Wind Power Using Hybrid Biogeography-Based Optimization." International Journal of Applied Metaheuristic Computing 12, no. 3 (2021): 54–80. http://dx.doi.org/10.4018/ijamc.2021070103.

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This article represents salp swarm algorithm (SSA) for the most favourable operating solution of economic load dispatch (ELD). For making the convergence first along with SSA, another optimization algorithm (i.e., BBO [biogeography;based optimization]) is also used. For lowering the operational cost, wind power is employed with thermal units. SSA is inspired by swarming behaviour of salp, which belongs to salpiside family. Salp possess a special kind of swarm while hunting for food and navigating. The recommended algorithm is executed on two systems of SIX units and 40 units. In both of the ca

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Anil Kumar Jain, Lata Gidwani. "Sustainable Economic Load Dispatch Integrating Renewable Energy for Multi-Load Systems." Power System Technology 49, no. 1 (2025): 736–47. https://doi.org/10.52783/pst.1605.

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The growing adoption of renewable energy in power networks calls for effective strategies to manage economic load dispatch (ELD) sustainably. This study introduces an innovative approach to Sustainable Economic Load Dispatch (SELD) by integrating multiple renewable sources, such as solar and wind energy, into a system serving diverse loads. The proposed method utilizes the Botox Optimization Algorithm (BOA), a nature-inspired metaheuristic, to enhance power distribution while reducing operational expenses and environmental impact. BOA efficiently tackles challenges related to fluctuations and

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Peesapati, Rajagopal, Yogesh Kumar Nayak, Swati K. Warungase, and Surender Reddy Salkuti. "Constrained Static/Dynamic Economic Emission Load Dispatch Using Elephant Herd Optimization." Information 14, no. 6 (2023): 339. http://dx.doi.org/10.3390/info14060339.

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The rapid growth in greenhouse gases (GHGs), the lack of electricity production, and an ever-increasing demand for electrical energy requires an optimal reduction in coal-fired thermal generating units (CFTGU) with the aim of minimizing fuel costs and emissions. Previous approaches have been unable to deal with such problems due to the non-convexity of realistic scenarios and confined optimum convergence. Instead, meta-heuristic techniques have gained more attention in order to deal with such constrained static/dynamic economic emission load dispatch (ELD/DEELD) problems, due to their flexibil

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Karthik, N., A. K. Parvathy, and R. Arul. "Non-convex Economic Load Dispatch using Cuckoo Search Algorithm." Indonesian Journal of Electrical Engineering and Computer Science 5, no. 1 (2017): 48. http://dx.doi.org/10.11591/ijeecs.v5.i1.pp48-57.

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<p>This paper presents cuckoo search algorithm (CSA) for solving non-convex economic load dispatch (ELD) problems of fossil fuel fired generators considering transmission losses and valve point loading effect. CSA is a new meta-heuristic optimisation technique inspired from the obligate brood parasitism of some cuckoo species by laying their eggs in the nests of other host birds of other species. The strength of the proposed meta-heuristic optimization technique CSA has been tested and validated on the standard IEEE 14-bus, 26-bus and 30-bus system with several heuristic load patterns. T

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Feng, Xiao Hua, Yu Yao He, and Juan Yu. "Economic Load Dispatch Using Bacterial Foraging Optimization Algorithm Based on Evolution Strategies." Advanced Materials Research 860-863 (December 2013): 2040–45. http://dx.doi.org/10.4028/www.scientific.net/amr.860-863.2040.

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This paper presents a novel modiﬁed bacterial foraging optimization(BFO) to solve economic loaddispatch (ELD) problems. BFO isalready successfully employed to solve variousoptimization problems. However original BFOfor small problems with moderate dimensionand searching space is satisfactory. As searchspace and complexity growexponentially in scalable ELD problems, it shows poorconvergence properties. To tackle this complex problem considering itshigh-dimensioned search space, the Evolution Strategies is introduced to thebasic BFO. The chemotactic step is adjusted to have a dynamic non-linearb

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Khobaragade, Tejaswita, and Dr K. T. Chaturvedi. "A Review on Evolutionary Methodology more appropriate for implementation in Economic Load Dispatch." YMER Digital 21, no. 03 (2022): 422–45. http://dx.doi.org/10.37896/ymer21.03/45.

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Economic Load Dispatch (ELD) is approach to reduced the cost of electricity generation without any compromisation on its quality and its reliability. As per the economic point of view the production cost must be minimized. For the different load demands at different time period vary as well as requirement of power also vary. For this it is very important to monitorized the demand and its production. The principle factor in Thermal and Nuclear power plant is Fuel cost. In this paper we have studied different evolutionary method and obtain the best method among them perhaps, in order to bring th

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Nguyen, Hung Duc, and Ly Huu Pham. "Determining solutions to new economic load dispatch problems by war strategy optimization algorithm." International Journal of Renewable Energy Development 14, no. 1 (2024): 124–35. https://doi.org/10.61435/ijred.2025.60618.

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The paper applies three cutting-edge algorithms - War Strategy Optimization Algorithm (WSO), Egret Swarm Optimization Algorithm (ESOA), and Black Widow Optimization Algorithm (BWOA) - as potential tools to determining the optimal generation power of power plants in both the Economic Load Dispatch problem (ELD) and the New ELD problem (NELD), which incorporates renewable energy resources into the traditional power system. These algorithms underwent rigorous evaluation using various test systems with complex constraints, a multi-fuel objective function, and 24-hour load demands. In System 1, at

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C., Durga Prasad, and Siva Krishna Rao G.V. "Solution to Economic Load Dispatch Problem of a Distributed Generating System using Pattern Search Algorithm." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 11 (2020): 1–4. https://doi.org/10.35940/ijitee.B7755.0991120.

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The solution of Economic Load Dispatch (ELD) problem is to allocate the total load demand to committed generating units with an objective to minimize the operating cost without violating the unit and system constraints. The growing power demand, atmospheric pollution and increased population makes it essential to invent a new power system with low pollution and transmission losses. The growing price and limited availability of fossil fuels makes installation of conventional power plants uneconomical. Installation of non-conventional power plants like roof top solar plants is essential to meet

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