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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

Sha, Quan, and Shao Hua Zhang. "Application of Intelligent Algorithms to Interruptible Load Dispatch Model." Applied Mechanics and Materials 239-240 (December 2012): 1487–92. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1487.

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Interruptible load management plays an important role in maintaining the reliability and security of power systems and reducing price spike of power markets, thus has been widely used in power systems. Interruptible loads dispatch problem with multi-period and multi-interruptible-load is usually a multi-objective, combinatorial optimization problem, and its solution method needs to be carefully investigated. Application of intelligent optimization algorithms to the multi-period interruptible load dispatch problem is discussed in this paper. Multi objectives, such as minimizing the interruption
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Yang, Yang, and Li Zi Zhang. "The Combined Generation-Consumption Scheduling Mode Considering Price-Responsive and Interruptible Loads." Applied Mechanics and Materials 448-453 (October 2013): 2740–46. http://dx.doi.org/10.4028/www.scientific.net/amm.448-453.2740.

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In order to provide reserve power supply, consumption dispatch can be integrated into the conventional generation dispatch model. This serves as a feasible approach in connecting intermittent power sources such as hydropower into the power grid. An integrated generation-consumption dispatch model with hydropower is presented considering the consumption dispatch mode, such as consumption stimulation, interruptible load management, and price response, etc. Practical case studies show that price-responsive loads and interruptible loads tend to exert great influence on the load distribution which
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4

Jan, Zaineb Nisar, and Dr Satish Saini. "Economic Load Dispatch Using Computational Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 831–34. http://dx.doi.org/10.22214/ijraset.2022.47977.

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Abstract: This research paper introduces the importance of economic dispatch in a power system. Economic dispatch was the method used in allocating the output power of each generator to achieve the optimal dispatch to reduce fuel cost to the minimum. The research paper discusses how the economic dispatch problem can be solved by using the methods of Particle Swarm Optimization (PSO) and Lambda Iteration (LI). These methods were applied in IEEE-30 busses systems. The system was tested on a few loads demands to find out the total fuel cost, power losses, and computational time.
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5

Xu, Tao, Cheng Cheng, Fei Ren, and Weiwei Zhang. "Optimal Scheduling of Integrated Energy Systems Considering Carbon Trading." Journal of Physics: Conference Series 2395, no. 1 (2022): 012053. http://dx.doi.org/10.1088/1742-6596/2395/1/012053.

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Abstract Under the background where the electricity market and the carbon market are booming, the operation and dispatch of the integrated energy system requires the introduction of a carbon trading mechanism that can help guide customers and system operators to optimize electricity consumption and dispatch plans. A mathematical model of the community-integrated energy system, including energy storage, gas turbine generation system, and flexible load, is constructed based on energy hubs. In the consideration of costs in operation and carbon trading of the system, a low carbon economic dispatch
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6

S Jadhav, S. "Economic Load and Emission Dispatch: Strategic Game Approach." International Journal of Science and Research (IJSR) 11, no. 12 (2022): 228–33. http://dx.doi.org/10.21275/sr211206110019.

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7

Dr., A. Amsavalli, Vigneshwaran D., Lavanya M., and Vijayaraj S. "STUDY OF MULTI-AREA ECONOMIC DISPATCH ON SOFT COMPUTING TECHNIQUES." International Journal of Multidisciplinary Research and Modern Education 2, no. 2 (2016): 351–64. https://doi.org/10.5281/zenodo.168050.

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<em>This paper analyses the performance of soft computing techniques to solve single and multi area economic dispatch problems. The paper also includes of inter-area flow constraints on power system network, which are normally ignored in most economic load dispatch problems. Economic load dispatch results for these two area, three area and four area systems are presented in the paper and they determine the importance of multiple area representation of a system in economic load dispatch. Such representation affects the cost and assures the determination of optimum dispatch.</em>
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8

Xue, Mengge. "Low-carbon economic dispatch of regional microgrids with flexible loads." Journal of Physics: Conference Series 2932, no. 1 (2025): 012003. https://doi.org/10.1088/1742-6596/2932/1/012003.

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Abstract With the advancement of sustainable development initiatives, clean energy microgrids are increasingly recognized as a key strategy for achieving carbon neutrality in power systems. Leveraging the characteristics of flexible loads, including load cutting, load shifting and transfer, demand response, and low-carbon economic dispatch optimization have been implemented in wind-solar-natural gas hybrid energy systems. A microgrid dispatch model aimed at optimizing economic performance is developed, incorporating factors such as operating costs, compensation costs, and carbon trading costs.
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9

Li, Lianming, Defeng He, Jianrong Jin, Baoyun Yu, and Xiang Gao. "Multi-Objective Load Dispatch Control of Biomass Heat and Power Cogeneration Based on Economic Model Predictive Control." Energies 14, no. 3 (2021): 762. http://dx.doi.org/10.3390/en14030762.

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This paper proposes a multi-objective load dispatch algorithm based on economic predictive control to solve the real-time multi-objective load dispatch problem of biomass heat and power cogeneration. According to the energy conservation law and production process, a real-time multi-objective load dispatch optimization model for heat and power units is established. Then, the concept of multi-objective utopia points is introduced, and the multi-objective load comprehensive objective function is defined to coordinate the conflict between the economic performance and pollutant emission performance
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10

Dhillon, J. S., S. C. Parti, and D. P. Kothari. "Stochastic economic emission load dispatch." Electric Power Systems Research 26, no. 3 (1993): 179–86. http://dx.doi.org/10.1016/0378-7796(93)90011-3.

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11

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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12

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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13

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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14

DSNM, Rao, and Kumar Niranjan. "Comparisional Investigation of Load Dispatch Solutions with TLBO." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (2017): 3246–53. https://doi.org/10.11591/ijece.v7i6.pp3246-3253.

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This paper discusses economic load dispatch Problem is modeled with nonconvex functions. These are problem are not solvable using a convex optimization techniques. So there is a need for using a heuristic method. Among such methods Teaching and Learning Based Optimization (TLBO) is a recently known algorithm and showed promising results. This paper utilized this algorithm to provide load dispatch solutions. Comparisons of this solution with other standard algorithms like Particle Swarm Optimization (PSO), Differential Evolution (DE) and Harmony Search Algorithm (HSA). This proposed algorithm i
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15

Spea, Shaimaa R. "Solving practical economic load dispatch problem using crow search algorithm." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3431. http://dx.doi.org/10.11591/ijece.v10i4.pp3431-3440.

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The practical economic load dispatch problem is a non-convex, non-smooth, and non-linear optimization problem due to including practical considerations such as valve-point loading effects and multiple fuel options. An optimization algorithm named crow search algorithm is proposed in this paper to solve the practical non-convex economic load dispatch problem. Three cases with different economic load dispatch configurations are studied. The simulation results and statistical analysis show the efficiency of the proposed crow search algorithm. Also, the simulation results are compared to the other
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16

Shaimaa, R. Spea. "Solving practical economic load dispatch problem using crow search algorithm." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 4 (2020): 3431–40. https://doi.org/10.11591/ijece.v10i4.pp3431-3440.

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The practical economic load dispatch problem is a non-convex, non-smooth, and non-linear optimization problem due to including practical considerations such as valve-point loading effects and multiple fuel options. An optimization algorithm named crow search algorithm is proposed in this paper to solve the practical non-convex economic load dispatch problem. Three cases with different economic load dispatch configurations are studied. The simulation results and statistical analysis show the efficiency of the proposed crow search algorithm. Also, the simulation results are compared to the other
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17

Jan, Zaineb Nisar. "Economic Load Dispatch using Lambda Iteration, Particle Swarm Optimization & Genetic Algorithm." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 972–77. http://dx.doi.org/10.22214/ijraset.2021.37527.

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Abstract: In economic load dispatch problem scheduling of loads is done in order to achieve reliable power supply with reduced costs. With the increase in load demand with each passing year energy crisis is increasing hence an area of study where fuel costs can be reduced was proposed. This can be achieved using various methods among which the methods discussed in this paper are Lambda Iteration, Particle Swarm Operation and Genetic Algorithm. Based on numerical results the best optimization technique can be figured out among the discussed methods. Keywords: Lambda Iteration, PSO, GA, economic
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18

Anyaka, Boniface O., J. Felix Manirakiza, Kenneth C. Chike, and Prince A. Okoro. "Optimal unit commitment of a power plant using particle swarm optimization approach." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1135. http://dx.doi.org/10.11591/ijece.v10i2.pp1135-1141.

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Economic load dispatch among generating units is very important for any power plant. In this work, the economic load dispatch was made at Egbin Thermal Power plant supplying a total load of 600MW using six generating units. In carrying out this study, transmission losses were assumed to be included into the load supplied. Also three different combinations in the form of 6, 5 and 4 units commitment were considered. In each case, the total load was optimally dispatched between committed generating units using Particle Swarm Optimization (PSO). Similarly, the generation cost for each generating u
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19

Boniface, O. Anyaka, Felix Manirakiza J., C. Chike Kenneth., and A. Okoro Prince. "Optimal unit commitment of a power plant using particle swarm optimization approach." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 2 (2020): 1135–141. https://doi.org/10.11591/ijece.v10i2.pp1135-1141.

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Economic load dispatch among generating units is very important for any power plant. In this work, the economic load dispatch was made at Egbin Thermal Power plant supplying a total load of 600MW using six generating units. In carrying out this study, transmission losses were assumed to be included into the load supplied. Also, three different combinations in the form of 6, 5- and 4-units commitment were considered. In each case, the total load was optimally dispatched between committed generating units using Particle Swarm Optimization (PSO). Similarly, the generation cost for each generating
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20

Vyas, Sanjay R., and Dr Ved vyas dwivedi. "Reduce Power Generation Cost by Using Load Dispatch Schedule." Indian Journal of Applied Research 2, no. 2 (2011): 66–68. http://dx.doi.org/10.15373/2249555x/nov2012/24.

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21

Rao, DSNM, and Niranjan Kumar. "Comparisional Investigation of Load Dispatch Solutions with TLBO." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 6 (2017): 3246. http://dx.doi.org/10.11591/ijece.v7i6.pp3246-3253.

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This paper discusses economic load dispatch Problem is modeled with non-convex functions. These are problem are not solvable using a convex optimization techniques. So there is a need for using a heuristic method. Among such methods Teaching and Learning Based Optimization (TLBO) is a recently known algorithm and showed promising results. This paper utilized this algorithm to provide load dispatch solutions. Comparisons of this solution with other standard algorithms like Particle Swarm Optimization (PSO), Differential Evolution (DE) and Harmony Search Algorithm (HSA). This proposed algorithm
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22

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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23

Mi, Yang, Yuyang Chen, Minghan Yuan, Zichen Li, Biao Tao, and Yunhao Han. "Multi-Timescale Optimal Dispatching Strategy for Coordinated Source-Grid-Load-Storage Interaction in Active Distribution Networks Based on Second-Order Cone Planning." Energies 16, no. 3 (2023): 1356. http://dx.doi.org/10.3390/en16031356.

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In order to cope with the efficient consumption and flexible regulation of resource scarcity due to grid integration of renewable energy sources, a scheduling strategy that takes into account the coordinated interaction of source, grid, load, and storage is proposed. In order to improve the accuracy of the dispatch, a BP neural network approach modified by a genetic algorithm is used to predict renewable energy sources and loads. The non-convex, non-linear optimal dispatch model of the distribution grid is transformed into a mixed integer programming model with optimal tides based on the secon
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Singh, Nagendra, and Yogendra Kumar. "Multiobjective Economic Load Dispatch Problem Solved by New PSO." Advances in Electrical Engineering 2015 (February 19, 2015): 1–6. http://dx.doi.org/10.1155/2015/536040.

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Proposed in this paper is a new particle swarm optimization technique for the solution of economic load dispatch as well as environmental emission of the thermal power plant with power balance and generation limit constraints. Economic load dispatch is an online problem to minimize the total generating cost of the thermal power plant and satisfy the equality and inequality constraints. Thermal power plants use fossil fuels for the generation of power; fossil fuel emits many toxic gases which pollute the environment. This paper not only considers the economic load dispatch problem to reduce the
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Prashar, Sushil, Vikram Kumar Kamboj, and Kultaar Deep Singh. "A Cost Effective Solution to Security Constrained Unit Commitment and Dispatch Problem using Hybrid Search Algorithm." E3S Web of Conferences 184 (2020): 01071. http://dx.doi.org/10.1051/e3sconf/202018401071.

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The Security constraints unit commitment (SCUC) is a powerful scheduling technique used in power markets for daily planning. SCUC is a framework that combines two common algorithms in the electricity industry: Unit Commitment (UC) and Economic Dispatch (ED), while adding a new dimension – Security. Load demand is changing continuously due to variation of load of industrial, residential and commercial sectors. Thus, it is very important to decide which generating unit should be kept on and how much power should be dispatched so that time varying load demand can be meet on Hourly basis and there
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Rahmat, Nur Azzammudin, Ismail Musirin, and Ahmad Farid Abidin. "Solving Fuzzy Combined Economic Load–Emission Dispatch by Using Differential Evolution Immunized Ant Colony Optimization Technique." Applied Mechanics and Materials 785 (August 2015): 500–505. http://dx.doi.org/10.4028/www.scientific.net/amm.785.500.

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The fluctuating load demand with respect to time requires thorough analysis by the energy providers. Nowadays, the utilities need to include emission control during energy dispatch planning. The practically accurate economic dispatch solution is achieved by considering it as a dynamic or time-varying problem. Therefore, this research proposes Fuzzy Combined Economic Load-Emission Dispatch (Fz-CELED) to solve dynamic economic dispatch problem. Fuzzy Logic is used to predict the future load demand and fuel pricing. Moreover, this paper proposed the Differential Evolution Immunized Ant Colony Opt
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Rosli, Hazwani Mohd, Syahirah Abd Halim, Lilik Jamilatul Awalin, and Seri Mastura Mustaza. "Economic-emission load dispatch for power system operation using enhanced sunflower optimization." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 1. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp1-10.

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Conventional thermal power plant uses limited sources of gas, fuel or coal which contributes to the rise of air pollution. Thus, it is crucial to efficiently use the natural sources and minimize the emissions of greenhouse gases and other pollutants. This paper presents an optimal economic dispatch considering three factors which are cost of generation, loss of power transmission and amount of emission for an efficient operation of power generation. Enhanced sunflower optimization (ESFO) algorithm is applied to determine the solution for three different cases: economic load dispatch, emission
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Rosli, Hazwani Mohd, Syahirah Abd Halim, Lilik Jamilatul Awalin, and Seri Mastura Mustaza. "Economic-emission load dispatch for power system operation using enhanced sunflower optimization." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (2022): 1–10. https://doi.org/10.11591/ijeecs.v27.i1.pp1-10.

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Conventional thermal power plant uses limited sources of gas, fuel or coal which contributes to the rise of air pollution. Thus, it is crucial to efficiently use the natural sources and minimize the emissions of greenhouse gases and other pollutants. This paper presents an optimal economic dispatch considering three factors which are cost of generation, loss of power transmission and amount of emission for an efficient operation of power generation. Enhanced sunflower optimization (ESFO) algorithm is applied to determine the solution for three different cases: economic load dispatch, emission
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29

Yang, Zhuo, Shilin Zhao, and Wenbing Lu. "Research on system/regional dispatch center-based hierarchical zonal load dispatch model." Journal of Physics: Conference Series 2788, no. 1 (2024): 012026. http://dx.doi.org/10.1088/1742-6596/2788/1/012026.

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Abstract The development of new power systems and the expanding scale of demand-side load resources represented by electric vehicles have brought new challenges to the stable and economic operation of power systems, and the current load aggregation regulation model is no longer adapted to the current environment. Based on this, this paper proposes a hierarchical zonal load aggregation regulation model, in which the system layer and the regional layer cooperate to regulate the resources, and finally verifies the feasibility and economy of the model by example analysis.
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Zhang, Xiu Ge, Ye Ren, and Xun Cheng Huang. "Optimum Load Dispatching Model in Intelligent Distribution Network." Advanced Materials Research 915-916 (April 2014): 1433–37. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.1433.

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The increase of the intensive power proportion in distribution network brings new challenges to load dispatch of power plant, and intelligent distribution would be a key issue in the future power integrated system. The paper combined the strength Pareto evolutionary algorithm with the parallel genetic algorithm (PGA) ,namely the Pseudo-parallel SPEA2 Algorithm for solving the dynamic economic load dispatch problem. This problem is formulated as a nonlinear constrained multi-objective optimization problem, meanwhile, synthetically considers dynamic constraints handling, the minimum of fuel cost
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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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Dr., A. Subramanian, Sindhu A., and Vijayaraj S. "SOLVING COMBINED ECONOMIC AND EMISSION DISPATCH USING KRILL HERD ALGORITHM." International Journal of Multidisciplinary Research and Modern Education 3, no. 1 (2017): 496–501. https://doi.org/10.5281/zenodo.816243.

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In this paper, fuel cost and the environmental emission functions are considered and formulated as a multi-objective economic load dispatch problem. For obtaining the solution of multi-objective economic load dispatch Krill Herd Algorithm was used. Potency of the algorithm is tested on six unit system. The promising results show the quick convergence and effectiveness of the Krill Herd Algorithm.
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Zheng, Tao, Zemei Dai, Jiahao Yao, Yufeng Yang, and Jing Cao. "Economic Dispatch of Multi-Energy System Considering Load Replaceability." Processes 7, no. 9 (2019): 570. http://dx.doi.org/10.3390/pr7090570.

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By integrating gas, electricity, and cooling and heat networks, multi-energy system (MES) breaks the bondage of isolated planning and operation of independent energy systems. Appropriate scheduling of MES is critical to the operational economy, and it is essential to design scheduling strategies to achieve maximum economic benefits. In addition to the emergence of energy conversion systems, the other main novelty of MES is the multivariate of load, which offers a great optimization potential by changing load replaceability (flexibly adjusting the composition of loads). In this paper, by design
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Zhang, Li Xiao, Wen Tan, and Xiao Bin Huang. "Optimized Load Distributed of Power Plant Units Based on Branch and Bound Method." Applied Mechanics and Materials 239-240 (December 2012): 1565–69. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1565.

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Power consumption is increasing significantly with the rapid economic development. In order to improve the competitiveness of thermal power plants, the problem of units' optimal load dispatch becomes a hot topic of the research about reducing coal consumption. The branch and bound method is presented to solve the problem based on a load dispatch model with velocity constraint in this paper. Branch can create the conditions for the optimal solution of unit load distribution, bound can improve the search efficiency of the optimal solution [1]. Through the computational Simulation, it proves the
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Kulkarni, P. A., and Prof R. M. Holmukhe. "Infrastructural Analysis of Load Dispatch Centre." International Journal of Computer Applications 1, no. 7 (2010): 112–18. http://dx.doi.org/10.5120/154-276.

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Al-Subhi, Ahmad A., and Hesham K. Alfares. "Economic Load Dispatch Using Linear Programming." International Journal of Applied Industrial Engineering 3, no. 1 (2016): 16–36. http://dx.doi.org/10.4018/ijaie.2016010102.

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This paper presents an optimum solution of the economic dispatch (ED) problem without considering transmission losses using linear programming (LP). In the ED problem, several on-line units (generators) are available, and it is needed to determine the power to produce by each unit in order to meet the required load at minimum total cost. To apply LP, the nonlinear cost functions of all generators are approximated by linear piecewise functions. To examine the effectiveness of this linearization method, a comprehensive set of benchmark test problems is used consisting of 3, 6, 18, 20, 38, and 40
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Ebrahimi, A., M. Ehsan, and V. Tahani. "Multicriteria Load Dispatch with Fuzzy Constraints." Journal of Intelligent and Fuzzy Systems 2, no. 4 (1994): 315–23. http://dx.doi.org/10.3233/ifs-1994-2404.

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38

Hosseinnezhad, Vahid, та Ebrahim Babaei. "Economic load dispatch using θ-PSO". International Journal of Electrical Power & Energy Systems 49 (липень 2013): 160–69. http://dx.doi.org/10.1016/j.ijepes.2013.01.002.

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Li, Qifen, Yihan Zhao, Yongwen Yang, Liting Zhang, and Chen Ju. "Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner." Energies 16, no. 1 (2022): 337. http://dx.doi.org/10.3390/en16010337.

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In recent years, the peak–valley differences in urban power loads have been increasing. It is difficult to maintain the real-time balance of a power system by relying solely on the generation-side resources. As a typical flexible load, an air conditioning load can balance the supply and demand of a power grid by adjusting power using the thermal inertia of buildings. From the perspective of a load aggregator, this study models and aggregates the dispatch of a single inverter air conditioner distributed in a region to determine the adjustment potential of an air conditioning cluster. Then, acco
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40

Sahni, Anita, and Dr K. T. Chaturvedi. "An Efficient Algorithm for Economic Load Dispatch Considering Valve Point Loading Effect." International Journal of Engineering and Advanced Technology 11, no. 5 (2022): 91–95. http://dx.doi.org/10.35940/ijeat.e3534.0611522.

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A simple and efficient algorithm is proposed for solving the economic dispatch problem of power system with valve point discontinuities employing a particle swarm optimization based approach. Evolutionary methods such as GA and PSO are known to perform better than conventional gradient based optimization methods for non convex optimization problems. This reactive power management in economic load dispatches plays a vital role in improving power quality of the system. The power compensation and economic load dispatches is major problem in distribution network. The power is maintain the state of
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Anita, Sahni, and K. T. Chaturvedi Dr. "An Efficient Algorithm for Economic Load Dispatch Considering Valve Point Loading Effect." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 5 (2022): 91–95. https://doi.org/10.35940/ijeat.E3534.0611522.

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<strong>Abstract:</strong> A simple and efficient algorithm is proposed for solving the economic dispatch problem of power system with valve point discontinuities employing a particle swarm optimization based approach. Evolutionary methods such as GA and PSO are known to perform better than conventional gradient based optimization methods for non convex optimization problems. This reactive power management in economic load dispatches plays a vital role in improving power quality of the system. The power compensation and economic load dispatches is major problem in distribution network. The pow
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42

Liu, Wang, Wang, Zhu, and Lio. "Active Power Dispatch for Supporting Grid Frequency Regulation in Wind Farms Considering Fatigue Load." Energies 12, no. 8 (2019): 1508. http://dx.doi.org/10.3390/en12081508.

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This paper proposes an active power control method for supporting grid frequency regulation in wind farms (WF) considering improved fatigue load sensitivity of wind turbines (WT). The control method is concluded into two parts: frequency adjustment control (FAC) and power reference dispatch (PRD). On one hand, the proposed Fuzzy-PID control method can actively maintain the balance between power generation and grid load, by which the grid frequency is regulated when plenty of winds are available. The fast power response can be provided and frequency error can be reduced by the proposed method.
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43

Gómez-Carmona, Oscar, and Alejandro Garcés-Ruiz. "Solution for the hydrothermal dispatch problem using Monte Carlo simulation and interior point." Revista Facultad de Ingeniería Universidad de Antioquia, no. 45 (January 16, 2014): 132–47. http://dx.doi.org/10.17533/udea.redin.18120.

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Hydrothermal dispatch establishes the suitable relation between hydraulic and thermal generation with optimal operative cost in a planning period, according to generation, transmission and load restrictions; moreover, it establishes the rational and efficient use of the energetic resources in the power electric systems. Normally the hydrothermal dispatch problem has been simplified to find a solution with a reasonable computational time. The principal simplifications have been: to fit lineally the thermal functions cost, to eliminate the network restrictions, to dispatch in a unique node and t
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44

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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Liu, Jie, Xingquan Ji, Kejun Li, and Kaiyuan Zhang. "Multi-Time Scale Optimal Dispatch for AC/DC Distribution Networks Based on a Markov Chain Dynamic Scenario Method and MPC." Journal of Electrical and Computer Engineering 2020 (February 20, 2020): 1–13. http://dx.doi.org/10.1155/2020/7516578.

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A multi-time scale optimal dispatch model based on the scenario method and model predictive control (MPC) in the AC/DC distribution network is established due to the uncertainty of wind and load. A Markov chain dynamic scenario method is proposed, which generates scenarios by characterizing the forecast error via empirical distribution. Considering the time correlation of the forecast error, Markov chain is adopted in the Markov chain dynamic method to simulate the uncertainty and variability in wind and load with time. A multi-time scale optimal dispatch strategy based on MPC is proposed. The
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46

Hosseini Firouz, Mansour, and Noradin Ghadimi. "Wind Energy Uncertainties in Multi-objective Environmental/Economic Dispatch Based on Multi-objective Evolutionary Algorithm." Journal of Research in Science, Engineering and Technology 3, no. 03 (2019): 8–15. http://dx.doi.org/10.24200/jrset.vol3iss03pp8-15.

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This paper a Multi-objective Honey Bee Mating Optimization (MOHBMO) is proposed for Environmental/ Economic Power Dispatch (EED) problem. This paper proposes a new environmental/economic load dispatch model that considers cost and emission function coefficients with uncertainties and the constraints of ramp rate. Due to the environmental concerns that arise from the emissions produced via fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Actually, EED problem
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Angbas, Donald Orame, and Smith Orode Otuagoma. "Economic Load Dispatch Optimization for Thermal Power Plant Using Particle Swarm Optimization and Lambda Iteration." Engineering and Technology Journal 10, no. 02 (2025): 3838–45. https://doi.org/10.5281/zenodo.14858544.

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Nigeria&rsquo;s socioeconomic growth cannot improve effectively if the rate of electricity generation and dispatch continues at its current status which is due to several challenges facing the country&rsquo;s power industry. This study investigates the optimization of Economic Load Dispatch for six thermal power generators using Particle Swarm Optimization (PSO) and Lambda Iteration methods. The primary objective is to minimize fuel costs while meeting a total power demand of 600MW. The study employs quadratic cost functions obtained from historical datas derived from input-output characterist
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Santos, Rosane, André Luiz Diniz, and Bruno Borba. "Assessment of the Modeling of Demand Response as a Dispatchable Resource in Day-Ahead Hydrothermal Unit Commitment Problems: The Brazilian Case." Energies 15, no. 11 (2022): 3928. http://dx.doi.org/10.3390/en15113928.

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Modern power systems have experienced large increases in intermittent and non-dispatchable sources and a progressive reduction in the size of hydro reservoirs for inflow regularization. One method to mitigate the high uncertainty and intermittency of the net load is by Demand Response (DR) mechanisms, to allow a secure and reliable system dispatch. This work applied a mixed integer linear programming formulation to model DR as a dispatchable resource in the day-ahead hydrothermal scheduling problem, taking into account minimum load curtailment constraints, minimum up/down load deduction times,
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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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Ramírez, Ronald Ayala, Javier Tenesaca Chacaguasay, and Juan Lata García. "Optimal load dispatch strategies for a hybrid system using renewable energy sources." IOP Conference Series: Earth and Environmental Science 897, no. 1 (2021): 012015. http://dx.doi.org/10.1088/1755-1315/897/1/012015.

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Abstract Recently, the idea of hybrid power systems (HES) has attracted interest for the electrification of isolated or energy efficient areas. This document examines the modelling and optimal dimensions of a hybrid microgrid using different dispatch strategies. The sizing of the HES components such as Photovoltaic panels, Batteries, Inverter, a Diesel generator has been optimized by three strategies: (i) load tracking, (ii) cycle load, and (iii) combined dispatch. The location of the case study is in a rural community in Ecuador whose load profile is 17 kW. By utilizing HOMER software, optimi
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