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Rozprawy doktorskie na temat „Economic Load Dispatch (ELD)”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Orike, Sunny. "Investigating evolutionary computation with smart mutation for three types of Economic Load Dispatch optimisation problem." Thesis, Heriot-Watt University, 2015. http://hdl.handle.net/10399/2939.

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The Economic Load Dispatch (ELD) problem is an optimisation task concerned with how electricity generating stations can meet their customers’ demands while minimising under/over-generation, and minimising the operational costs of running the generating units. In the conventional or Static Economic Load Dispatch (SELD), an optimal solution is sought in terms of how much power to produce from each of the individual generating units at the power station, while meeting (predicted) customers’ load demands. With the inclusion of a more realistic dynamic view of demand over time and associated constr

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Balani, Spandana. "Smart Grid Technologies for Efficiency Improvement of Integrated Industrial Electric System." ScholarWorks@UNO, 2011. http://scholarworks.uno.edu/td/115.

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The purpose of this research is to identify the need of Smart Grid Technologies in communication between industrial plants with co-generation capability and the electric utilities in providing the most optimum scheme for buying and selling of electricity in such a way that the fuel consumption is minimized, reliability is increased, and time to restore the system is reduced. A typical industrial plant load profile based on statistical mean and variance of industrial plants' load requirement is developed, and used in determining the minimum cost of producing the next megawatt-hours by a typical

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Kumar, Deb Nath Uttam. "Electric vehicles in Smart Grids: Performance considerations." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2015. https://ro.ecu.edu.au/theses/1631.

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Distributed power system is the basic architecture of current power systems and demands close cooperation among the generation, transmission and distribution systems. Excessive greenhouse gas emissions over the last decade have driven a move to a more sustainable energy system. This has involved integrating renewable energy sources like wind and solar power into the distributed generation system. Renewable sources offer more opportunities for end users to participate in the power delivery system and to make this distribution system even more efficient, the novel "Smart Grid" concept has emerge

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Lima, João Paulo de. "Um método de busca tabu direcionada a pontos singulares e o problema de despacho econômico com pontos de válvula /." Bauru, 2019. http://hdl.handle.net/11449/191213.

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Orientador: Edmea Cassia Baptista<br>Resumo: O problema de Despacho Econômico com Ponto de Válvula é um importante problema relacionado aos Sistemas Elétricos de Potência, que pode ser formulado como um problema de otimização não linear, não convexo e não diferenciável, o que dificulta sua resolução através de métodos exatos. Pode-se observar na literatura que diversos métodos heurísticos são propostos para a resolução do mesmo, os quais são eficientes e com um baixo custo computacional. Uma das desvantagens desses métodos é o tamanho do espaço de busca para realizer tais testes. Pesquisas rea

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5

Navin, S. "New Algorithms for Some Economic Dispatch Problems." Thesis, 2016. http://etd.iisc.ac.in/handle/2005/2935.

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An electric power system consists of several generating stations which cater to the load demands of various regions. The prime function of any generating utility is to optimally schedule the real power output of its generating units to meet any specified real power demand subject to various constraints on the operation of the units and the system. The optimal scheduling of individual generators at the least possible cost is referred to as the economic dispatch or economic load dispatch (ELD) problem. The ELD studies play a vital role in the daytoday operation of the power system and in formu

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Navin, S. "New Algorithms for Some Economic Dispatch Problems." Thesis, 2016. http://hdl.handle.net/2005/2935.

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An electric power system consists of several generating stations which cater to the load demands of various regions. The prime function of any generating utility is to optimally schedule the real power output of its generating units to meet any specified real power demand subject to various constraints on the operation of the units and the system. The optimal scheduling of individual generators at the least possible cost is referred to as the economic dispatch or economic load dispatch (ELD) problem. The ELD studies play a vital role in the daytoday operation of the power system and in formu

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7

Behera, Sandeep. "Solution To Constrained Economic Load Dispatch." Thesis, 2013. http://ethesis.nitrkl.ac.in/5237/1/109EE0257.pdf.

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The power system in modern world has grown in complexity of interconnection and power demands. The focus has now shifted to enhancing performance, increasing customer focus, lowering cost, reliability and clean power. In this changed modern word where we face scarcity of energy, with an ever increasing cost of power generation, environmental concerns necessitate some sort of optimum economic dispatch. Particle Swarm Optimization (PSO) is used to allot active power among the generating stations which satisfy the system constraints and thereby minimizes the cost of power generated. The feasibili

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KUMAR, ANURAG. "ECONOMIC LOAD DISPATCH STUDIES BASED ON PSO." Thesis, 2020. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20135.

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In this project, an Improved PSO algorithm has been developed to solve economic load dispatch problem. In the Proposed PSO algorithm, Retardation factor has been introduced to damp out the oscillations as the particle reaches near the global optimum point. This results in faster convergence as well as lesser cost of generation. The proposed algorithm has been implemented on unconstrained mathematical test functions to check the accuracy and convergence of the algorithm. The Proposed PSO algorithm is implemented on IEEE three and six generator thermal power plants. In the case of ma

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9

CHOUHAN, CHETAN. "MULTIOBJECTIVE ECONOMIC LOAD DISPATCH USING WEIGHTING METHOD." Thesis, 2012. http://dspace.dtu.ac.in:8080/jspui/handle/repository/13939.

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M.TECH<br>In general, a large scale power system possesses multiple objectives to be achieved. The ideal power system operation is achieved when various objectives like cost of generation, system transmission loss, environmental pollution, security etc. are simultaneously attained with minimum values. Since these objectives are conflicting in nature, it is impossible to achieve the ideal power system operation. In this thesis work, three objectives of Multiobjective Economic Load Dispatch (MOELD) problem-cost of generation, system transmission loss and environmental pollution- are consid

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Mishra, Mahesh Prasad. "Solution to economic load dispatch using PSO." Thesis, 2012. http://ethesis.nitrkl.ac.in/3711/1/FINALTHESIS.pdf.

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The modern power system around the world has grown in complexity of interconnection and power demand. The focus has shifted towards enhanced performance, increased customer focus, low cost, reliable and clean power. In this changed perspective, scarcity of energy resources, increasing power generation cost, environmental concern necessitates optimal economic dispatch. In reality power stations neither are at equal distances from load nor have similar fuel cost functions. Hence for providing cheaper power, load has to be distributed among various power stations in a way which results in lowest

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11

Mohapatra, Anurag. "Distributed Slack Bus Algorithm for Economic Load Dispatch." Thesis, 2012. http://ethesis.nitrkl.ac.in/3803/1/report_upload.pdf.

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The power flow in a highly interconnected grid is an ancient problem for an electrical engineer. With the advent of time of course, this issue has been tackled with greater accuracy and efficiency. Now the load flow and subsequent concerns are taken care by simulations in a minute. The next big obstacle is that of Economic Load Dispatch. In ELD, the unit commitment of each generator is taken into consideration to have adequate margin for reserve at any time. The second issue with ELD is with allocating the total generation to the individual generators in such a way that the total cost of gener

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Prasad, Bheeshm Narayan. "Economic load dispatch in power system using PSO." Thesis, 2014. http://ethesis.nitrkl.ac.in/6210/1/212EE4219-1.pdf.

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The economic load dispatch is an integral part of power system. The leading purpose is to minimize the fuel cost of power plant without violating any system constraints. Many conventional methods are applied to elucidate economic load dispatch through mathematical programming and optimization technique. The popular traditional method is the lambda-iteration method. Many heuristic approaches applied to the ELD problems such as dynamic programming, evolutionary programming, genetic algorithm, artificial intelligence, particle swarm optimization etc. In this study, two cases are taken named as th

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13

MEGHVANSHI, RAJAT. "ECONOMIC LOAD DISPATCH USING SELECTION BASED PARTICLE SWARM OPTIMIZATION." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14898.

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The Economic power dispatch problem is one of the most important problems to be solved in the operations of power system. It is basically a non-linear optimization problem having linear and non-linear equality and inequality constraints. This is a real time problem for properly allocating the real power output among the committed generators such that fuel cost is minimized while the demand requirement is met and the constraints imposed are satisfied. The main objective of this thesis is to study the performance of Selection Based Particle Swarm Optimization (SBPSO) technique to solve eco

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Sarangi, Saumendra. "Particle Swarm Optimisation Applied to Economic Load Dispatch Problem." Thesis, 2009. http://ethesis.nitrkl.ac.in/1429/1/thesis.somu.pdf.

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The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization

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15

Panda, Soumya Ranjan. "Distributed Slack Bus Model for Qualitative Economic Load Dispatch." Thesis, 2013. http://ethesis.nitrkl.ac.in/4877/1/109EE0292.pdf.

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The power flow analysis in a highly interconnected grid is a big problem for an electrical engineer. The next big obstacle is that of Economic Dispatch at the load side. The issue with Economic Load Dispatch (ELD) is with allocating the total generation to the individual generators in such a way that the total cost of generation at any time is at a minimum. In this project, the optimal cost of generation has been analyzed with a distributed slack bus model. In ordinary load flow method, the slack bus is bound to carry the entire extra burden of the system. In the proposed technique, the burden

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16

Chen, Jung-Chin, and 陳榮進. "CSO Algorithm Applications in Optimal Load Management and Economic Dispatch." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/28142409785772085646.

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博士<br>國立高雄應用科技大學<br>電機工程系<br>99<br>The aim of this research is to study the load management (LM) and economic dispatch decision for the Taiwanese industries through Cat Swarm Optimization (CSO) algorithm. CSO algorithm can be proposed to select optimal demand contract and drop the basic electricity cost. Results indicated that the CSO is superior to Particle Swarm Optimization (PSO) in the fast convergence and better performance to find the global best solution, considering the same iteration time. Also the CSO algorithm is highly helpful to Taiwanese industries on the optimal LM decision. Fro

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17

Das, Rosalin, and Anupama Lakra. "Application of Particle Swarm Optimizer to Economic Load Dispatch Problems." Thesis, 2009. http://ethesis.nitrkl.ac.in/937/1/finalproject.pdf.

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This project presents an efficient and reliable Particle Swarm Optimization (PSO) method for the Economic load dispatch (ELD) problems which is considered as one of the complex problems to be tackled. The PSO techniques have drawn much attention from the power system community and been successfully applied in many complex optimization problems in power systems. The PSO method was developed through the simulation of a simplified social system and has been found to be robust in solving continuous nonlinear optimization problems in terms of accuracy of the solution and computation time and it can

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18

Saha, Barnika, and Suraj Kumar Rath. "Economic Load Dispatch for IEEE 30-Bus System Using PSO." Thesis, 2015. http://ethesis.nitrkl.ac.in/7006/1/Economic__Saha_2015.pdf.

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ELD or economic load dispatch is a crucial aspect in any practical power network. Economic load dispatch is the technique whereby the active power outputs are allocated to generator units in the most cost-effective way in compliance with all constraints of the network. The traditional methods for solving ELD include Lambda-Iterative Technique, Newton-Raphson Method, Gradient method, etc. All these traditional algorithms need the incremental fuel cost curves of the generators to be increasing monotonically or piece-wise linear. But in practice the input-output characteristics of a generator are

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19

KRANTHI, M. "APPLICATION OF ANT COLONY OPTIMIZATION TO MULTI-OBJECTIVE ECONOMIC LOAD DISPATCH." Thesis, 2015. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14329.

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In this thesis, two objectives of power systems – cost of generation and system transmission losses has been considered for simultaneous minimization. The Multi-objective Economic Load Dispatch (MELD) problem considering the two objectives has been formulated using weighting method. The non-inferior set has been generated by varying the relative weights of the objectives in a systematic manner and solving the MELD problem as a combinatorial optimization problem by Ant System which is the first Ant colony Optimization technique. Explicit trade-off analysis has been carried out by Maximization o

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Kumar, Katikala Hem. "Contingency Constrained Economic Load Dispatch Using Particle Swarm Optimization For Security Enhancement." Thesis, 2015. http://ethesis.nitrkl.ac.in/7412/1/2015_Contingency_Kumar.pdf.

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Power system security plays a very vital role along with the transmission capability. The power system security is mostly influenced by several contingencies. The mean of contingency is any outage of transmission line, outage of transformer, outage of generator etc. from the system. Under contingency the system might get into insecure. Determination of system state that is whether the system is working under secure condition or not that can be deal by security analysis. Insecure of the system means all the components in the system are operating out of the specified limits. If the present opera

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21

TRINH, BUI VAN, and BUI VAN TRINH. "A Hybrid Grey Wolf Optimization Algorithm using Robust Learning Mechanism for Large Scale Economic Load Dispatch with Valve-Point Effects." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/74cr6r.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>107<br>This research proposed a new hybrid algorithm of grey wolf optimization (GWO) integrated with robust learning mechanism to solve the large scale economic load dispatch (ELD) problem. The robust learning grey wolf optimization (RLGWO) algorithm imitate the hunting behavior and social hierarchy of grey wolves in nature and reinforced by robust tolerant based adjust searching direction and opposite based learning. This technique could effectively prevent search agents trapping into local optimum but also generate potential candidate to obtain feasible solutions.

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