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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 constraints, the Dynamic Economic Load Dispatch (DELD) problem is an extension of the SELD, and aims at determining the optimal power generation schedule on a regular basis, revising the power system configuration (subject to constraints) at intervals during the day as demand patterns change. Both the SELD and DELD have been investigated in the recent literature with modern heuristic optimisation approaches providing excellent results in comparison with classical techniques. However, these problems are defined under the assumption of a regulated electricity market, where utilities tend to share their generating resources so as to minimise the total cost of supplying the demanded load. Currently, the electricity distribution scene is progressing towards a restructured, liberalised and competitive market. In this market the utility companies are privatised, and naturally compete with each other to increase their profits, while they also engage in bidding transactions with their customers. This formulation is referred to as: Bid-Based Dynamic Economic Load Dispatch (BBDELD). This thesis proposes a Smart Evolutionary Algorithm (SEA), which combines a standard evolutionary algorithm with a “smart mutation” approach. The so-called ‘smart’ mutation operator focuses mutation on genes contributing most to costs and penalty violations, while obeying operational constraints. We develop specialised versions of SEA for each of the SELD, DELD and BBDELD problems, and show that this approach is superior to previously published approaches in each case. The thesis also applies the approach to a new case study relevant to Nigerian electricity deregulation. Results on this case study indicate that our SEA is able to deal with larger scale energy optimisation tasks.
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2

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 electric utility. The 24-hour load profile and optimal power flow program are used to simulate the IEEE 39 Bus Test System. The methodology for the use of smart grid technology in fuel saving is documented in the thesis. The results obtained from this research shall be extended to include several industrial plants served by electric utilities in future work by the UNO research team.
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3

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 emerged. A Smart Grid: offers a two-way communication between the source and the load; integrates renewable sources into the generation system; and provides reliability and sustainability in the entire power system from generation through to ultimate power consumption. Unreliability in continuous production poses challenges for deploying renewable sources in a real-time power delivery system. Different storage options could address this unreliability issue, but they consume electrical energy and create signifcant costs and carbon emissions. An alternative is using electric vehicles and plug-in electric vehicles, with two-way power transfer capability (Grid-to-Vehicle and Vehicle-to-Grid), as temporary distributed energy storage devices. A perfect fit can be charging the vehicle batteries from the renewable sources and discharging the batteries when the grid needs them the most. This will substantially reduce carbon emissions from both the energy and the transportation sector while enhancing the reliability of using renewables. However, participation of these vehicles into the grid discharge program is understandably limited by the concerns of vehicle owners over the battery lifetime and revenue outcomes. A major challenge is to find ways to make vehicle integration more effective and economic for both the vehicle owners and the utility grid. This research addresses problems such as how to increase the average lifetime of vehicles while discharging to the grid; how to make this two-way power transfer economically viable; how to increase the vehicle participation rate; and how to make the whole system more reliable and sustainable. Different methods and techniques are investigated to successfully integrate the electric vehicles into the power system. This research also investigates the economic benefits of using the vehicle batteries in their second life as energy storage units thus reducing storage energy costs for the grid operators, and creating revenue for the vehicle owners.
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4

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 realizadas apontam que, na grande maioria das vezes, os pontos ótimos para o problema de Despacho Econômico com Ponto de Válvula se encontram em pontos nos quais a função modular, presente na formulação do problema, possui valor nulo, ou estão na região destes e tais pontos são denominados de Pontos Singulares. Neste trabalho, com o bjetivo de propor um método heurístico com espaço de busca reduzido, é proposto um método de Busca Tabu direcionada a Pontos Singulares, o qual utiliza o método de Busta Tabu para percorrer os pontos nos quais a função modular se anula. O método se mostra eficiente para problemas de DEPV de 3, 13 e 40 geradores, com valores próximos aos valores ótimos obtidos por métodos determinísticos e com baixo custo computacional.<br>Abstract: The problem of Economic Load Dispatch with Valve Point (EDVP) is an important problem related to Electric Power Systems, that can be formulated as a non-linear, non-convex and non-differentiable optimization problem, that difficults resolution through deterministic methods. We can observe in the literature that many heuristic methods are proposed for the resolution of the same, being efficient with a low computational cost. One of the advantages of this methods is the size of the search space necessary to perform the tests. Researches points out that, in most cases, the optimal points for the Economic Load Dispatch with Valve Point problem are at points where the modular function present in the problem formulation has zero value, or in the region thereof, these points are called Singular Points. In this work is proposed, with the objective to propose a heuristic method with the search space reducted, a Tabu Search Directed to Singular Point Search, which uses he tatbu search method to the points in which the modular function cancels out. The method is efficient for resolution of Economic Load Dispatch with Valve Point problems of 3, 13 and 40 generators unities, with values close to optimal obtained by deterministic methods values and low computational cost.<br>Mestre
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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 formulating economic operating strategies, besides ensuring the stability and security of the system. This thesis work makes an effort to probe deeper into some aspects of the economic load dispatch problem and the underlying mathematical formulations and attempts to come up with generalized algorithms that can effectively handle different types of systems under different operating conditions and, to a certain extent, to try and resolve some aspects hitherto unresolved. The primary focus is on developing efficient computational techniques to solve some Specific types of ELD problems in a simple and systematic manner. In the course of this investigation, we highlight some imperfect assumptions involved in the solutions proposed for the ELD problems for systems with complicated constraints like prohibited operating zones (POZ). We also set forth new concepts and strategies and develop new techniques in this investigation to help resolve some of these incorrect propositions and ambiguities. The first chapter introduces the ELD problem in general and proceeds to discuss the effects of the transmission losses and the presence of POZs on both the scheduling of the generators and the complexity of the ELD analysis. It also provides a brief review of some relevant aspects of the state-of-the-art solution techniques and clearly spells out the motivation for the present work. The second chapter presents a generalized algorithm for solving the ELD problem efficiently. The algorithm is effectively applicable to any system comprising power generating units with any type of well-defined, smooth and monotonic cost functions, besides quadratic cost functions usually considered in conventional algorithms. The proposed method first identifies the units that are forced to operate at their generating limits for any given value of the system demand. Subsequently, it limits the ELD problem to calculating The system's incremental cost of received power and the power output of only those units operating within their normal feasible range. The specific improvement introduced here is the development of an efficient computational scheme for calculating the value of the system incremental cost accurately. In addition to quadratic and higher order polynomial cost functions, the proposed algorithm can easily be generalized to include units with smooth, monotonic, non­ polynomial cost functions. The major advantages of the proposed ELD scheme are its inherent simplicity, scalability, rapid convergence and high computational efficiency. These characteristics are particularly important for real-time online implementation. The results obtained for test cases from the literature and some new ones as well are presented to illustrate the effectiveness of the proposed scheme. The third chapter proposes an algorithm for solving the ELD problem considering power losses in the transmission network. The losses are computed using the transmission loss­ formula A coefficients method suggested by Nanda and Bijwe as an alternative to the conventional B­loss coefficients approach popularized by Kirchmayer. The proposed ELD­with­ Losses scheme builds upon the ELD scheme developed in the second chapter for the lossless case. The specific contribution of the third chapter is the computational approximation suggested for the iterative procedure involving The Newton­Raphson (NR) method with the losses considered, while still retaining the elegant solution scheme developed in the earlier chapter. The results obtained using test cases from the literature are presented to demonstrate the precision and effectiveness of the proposed technique. The fourth chapter presents a novel algorithm for efficiently solving the ELD problem for systems having generators with prohibited operating zones. The proposed ELD­ POZ scheme partitions the no convex solution space into simpler convex intervals in which the ELD scheme developed in the second chapter can be applied directly. The improvisation lies in the optimal ordering­cum­sorting strategy adopted to systematically determine the output levels of the units constrained by POZs and to adjust the output power of the remaining units appropriately. The proposed scheme also recognizes and exactly computes the multiple, equivalent optimal solutions wherever applicable–– another significant contribution of this thesis work. It also seeks to clarify and set right some unintentionally imperfect propositions and assumptions currently prevalent in the literature regarding the formulation and analysis of the ELD problem considering POZs. The results generated for a number of systems using test cases from the literature along with some new ones are presented to clearly illustrate the validity as well as the Simplicity and superiority of the proposed scheme for different types of systems. The final chapter briefly recounts the work done in this thesis work. It also presents a summary of the significant results obtained using the schemes proposed in the earlier chapters, along with the conclusions drawn in support of the validity and superiority of the proposed algorithms. More areas for further investigation and some possible avenues for future applications of the proposed techniques are also indicated.
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6

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

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Abstract:
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 formulating economic operating strategies, besides ensuring the stability and security of the system. This thesis work makes an effort to probe deeper into some aspects of the economic load dispatch problem and the underlying mathematical formulations and attempts to come up with generalized algorithms that can effectively handle different types of systems under different operating conditions and, to a certain extent, to try and resolve some aspects hitherto unresolved. The primary focus is on developing efficient computational techniques to solve some Specific types of ELD problems in a simple and systematic manner. In the course of this investigation, we highlight some imperfect assumptions involved in the solutions proposed for the ELD problems for systems with complicated constraints like prohibited operating zones (POZ). We also set forth new concepts and strategies and develop new techniques in this investigation to help resolve some of these incorrect propositions and ambiguities. The first chapter introduces the ELD problem in general and proceeds to discuss the effects of the transmission losses and the presence of POZs on both the scheduling of the generators and the complexity of the ELD analysis. It also provides a brief review of some relevant aspects of the state-of-the-art solution techniques and clearly spells out the motivation for the present work. The second chapter presents a generalized algorithm for solving the ELD problem efficiently. The algorithm is effectively applicable to any system comprising power generating units with any type of well-defined, smooth and monotonic cost functions, besides quadratic cost functions usually considered in conventional algorithms. The proposed method first identifies the units that are forced to operate at their generating limits for any given value of the system demand. Subsequently, it limits the ELD problem to calculating The system's incremental cost of received power and the power output of only those units operating within their normal feasible range. The specific improvement introduced here is the development of an efficient computational scheme for calculating the value of the system incremental cost accurately. In addition to quadratic and higher order polynomial cost functions, the proposed algorithm can easily be generalized to include units with smooth, monotonic, non­ polynomial cost functions. The major advantages of the proposed ELD scheme are its inherent simplicity, scalability, rapid convergence and high computational efficiency. These characteristics are particularly important for real-time online implementation. The results obtained for test cases from the literature and some new ones as well are presented to illustrate the effectiveness of the proposed scheme. The third chapter proposes an algorithm for solving the ELD problem considering power losses in the transmission network. The losses are computed using the transmission loss­ formula A coefficients method suggested by Nanda and Bijwe as an alternative to the conventional B­loss coefficients approach popularized by Kirchmayer. The proposed ELD­with­ Losses scheme builds upon the ELD scheme developed in the second chapter for the lossless case. The specific contribution of the third chapter is the computational approximation suggested for the iterative procedure involving The Newton­Raphson (NR) method with the losses considered, while still retaining the elegant solution scheme developed in the earlier chapter. The results obtained using test cases from the literature are presented to demonstrate the precision and effectiveness of the proposed technique. The fourth chapter presents a novel algorithm for efficiently solving the ELD problem for systems having generators with prohibited operating zones. The proposed ELD­ POZ scheme partitions the no convex solution space into simpler convex intervals in which the ELD scheme developed in the second chapter can be applied directly. The improvisation lies in the optimal ordering­cum­sorting strategy adopted to systematically determine the output levels of the units constrained by POZs and to adjust the output power of the remaining units appropriately. The proposed scheme also recognizes and exactly computes the multiple, equivalent optimal solutions wherever applicable–– another significant contribution of this thesis work. It also seeks to clarify and set right some unintentionally imperfect propositions and assumptions currently prevalent in the literature regarding the formulation and analysis of the ELD problem considering POZs. The results generated for a number of systems using test cases from the literature along with some new ones are presented to clearly illustrate the validity as well as the Simplicity and superiority of the proposed scheme for different types of systems. The final chapter briefly recounts the work done in this thesis work. It also presents a summary of the significant results obtained using the schemes proposed in the earlier chapters, along with the conclusions drawn in support of the validity and superiority of the proposed algorithms. More areas for further investigation and some possible avenues for future applications of the proposed techniques are also indicated.
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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 feasibility of this method is analysed for its accuracy and its rate of convergence. The economic load dispatch problem is carried for three and six unit systems using PSO and conventional lagrange method for both cases i.e. neglecting and including transmission line losses. The results of PSO method was compared with that of conventional method and was found to be superior. The convergence characteristics in PSO method were also found both for loss included and loss neglected case. The conventional optimization methods are unable to solve many complex problems due to convergence of local optimum solution. Particle Swarm Optimization (PSO) since its initiation during the last 15 years, has been a great solution to the practical constrained economic load dispatch (ELD) problems. The optimization technique is evolving constantly to provide better and fast results.
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8

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 mathematical test functions, the comparison is done in terms of the number of iterations performed and the number of function evaluations. In case of an economic load dispatch problem, the comparison is done in terms of fuel cost of generation also. After comparing results in both cases, it is found that the proposed PSO algorithm gives more accurate results in less number of iterations. Number of iterations, number of function evaluations, and time consumed have been measured for different values of retardation factors. Best retardation is the one for which function gets optimized in minimum number of iterations. MATLAB simulation is done to solve the economic load dispatch problem and mathematical test function using Proposed algorithm and Basic particle swarm optimization algorithm.
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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 considered. The MOELD problem is formulated as a multiobjective optimization problem using weighting method and a number of noninferior solutions are generated in 3D space. The optimal power system operation is attained by Ideal Distance Minimization method. This method employs the concept of an ‘Ideal Point’ (IP) to scalarize the problems having multiple objectives and it minimizes the Euclidean distance between IP and the set of noninferior solutions. This method has been applied to IEEE 30 bus system.
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10

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 cost for generation. Practical economic dispatch (ED) problems have highly non-linear objective function with rigid equality and inequality constraints. Particle swarm optimization (PSO) is applied to allot the active power among the generating stations satisfying the system constraints and minimizing the cost of power generated. The viability of the method is analyzed for its accuracy and rate of convergence. The economic load dispatch problem is solved for three and six unit system using PSO and conventional method for both cases of neglecting and including transmission losses. The results of PSO method were compared with conventional method and were found to be superior. The conventional optimization methods are unable to solve such problems due to local optimum solution convergence. Particle Swarm Optimization (PSO) since its initiation in the last 15 years has been a potential solution to the practical constrained economic load dispatch (ELD) problem. The optimization technique is constantly evolving to provide better and faster results.
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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 generation at any time is at a minimum. In this project, the optimum cost of generation problem has been looked into with a distributed slack bus algorithm. In ordinary line flow analysis, the slack bus is asked to carry the entire residual burden of the system. In the proposed method, the burden on slack bus shall be eliminated and still maintain the equal incremental cost criteria. A new concept called Participation factor shall be used to achieve the same as the total loss of the system at the end of iteration shall get divided among all the generator buses. Two distinct bus networks were used as case studies and the results are compared and analysed to verify the usefulness of the proposed technique.
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12

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 three unit system and six unit system. The fuel cost for both systems compared using conventional lambda-iteration method and PSO method. These calculations are done for without transmission losses as well as with transmission losses. In the end, the fuel cost for both methods compared to analyse the better one from them. All the analyses are executed in MATLAB environment.
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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 economic load dispatch problems. SBPSO performance is compared with the Basic Particle Swarm Optimization (BPSO). In this thesis, selection procedure of size of particles in BPSO is changed to new selection criteria. This selection is based on the function value of the particles. The size of particles is decreased in each iteration by some decrement factor. In the 1st iteration the size of particle is same as initial size and in subsequent iteration the size of particles decreases by some decrement factor for the remaining evolution. This decrement of particles in each iteration is being done in a way that particle for which the value of function is less will be selected and the particles with higher function values will get discarded. In this thesis, the particle size goes on decreasing in each iteration which will become very less than the minimum number of particles required to optimize a function. Therefore, the minimum number of particles required to optimize a function has been fixed and for subsequent iteration the size of particles will be the minimum value for the optimization. A MATLAB program has been developed for SELECTION BASED PARTICLE SWARM OPTIMIZATION to Economic Load Dispatch problem. Program is tested on IEEE 5, 14 and 30 bus system and the results are compared with Basic PSO technique.
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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 (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units. In this work, data has been taken from the published work in which loss coefficients are also given with the max-min power limit and cost function. All the techniques are implemented in MATLAB environment. PSO is applied to find out the minimum cost for different power demand which is finally compared with both lambda- iteration method and GA technique. When the results are compared with the traditional technique and GA, PSO seems to give a better result with better convergence characteristic.
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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 on slack bus shall be reduced and still maintain the equal incremental cost criteria. A new term called Participation factor shall be utilized to achieve the same as the total loss of the system at the end of iteration shall get distributed among all the generating units. Finally practical bus network problems shall be taken as case study and results shall be analyzed and compared with the existing ELD scheme to verify the usefulness of the proposed technique.
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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. From the view point of demand side management, this research is to apply SCADA system and a feasible LM options for the Taiwanese industries to reduce the power cost. Also this study refers to provide decision-makers with useful LM strategies as reference. Finally, it is suggested that future research might explore in nonlinear optimization problem through CSO algorithm, as well as in engineering and power system.
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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 out perform other algorithms. In this project, the proposed algorithm is applied for the ELD of three unit thermal plant systems.
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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 highly non-linear leading to a challenging non-convex optimisation problem. Methods like artificial intelligence, DP (dynamic programming), GA (genetic algorithms), and PSO (particle swarm optimisation) solve non-convex optimisation problems in an efficient manner and obtain a fast and near global and optimum solution. In this project ELD problem has been solved using Lambda-Iterative technique, GA (Genetic Algorithms) and PSO (Particle Swarm Optimisation) and the results have been compared. All the analyses have been made in MATLAB environment.
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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 of minimum Relative (MMR) Attainments method. The target point of the power system is obtained when the sum of minimum relative attainments are maximum. The proposed method has been implemented on IEEE 5, 14 and 30 bus systems. A MATLAB program has been developed to solve Travelling Salesman Problem of four cities using Evolutionary Computation such as Ant Colony Optimization (ACO). Multi-objective economic load dispatch problem considering cost of generation and system transmission losses has been solved using ACO.<br>Prof. N.K. Jain & Prof. Uma Nangia
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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 operating condition is found that system is not in secure condition then the remedy must be taken to protect the system from the violation of specified limits of particular components under contingency. During the contingency the transmission line power flows will get affected and it might cross the maximum power flow limit. So we have to control the power flows in the transmission lines during the contingency. The power flows in the transmission line can be control by rescheduling of the generators in the system. In this work the particle swarm optimization technique has been utilised to reschedule the generators for getting optimum cost. While rescheduling the generators under contingency the power flows in the transmission line will get control and they will come within the specified limits and security will get enhance under contingency.
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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. Several constraints of power generators such as generation limits, local demand, and valve point loading effect and transmission losses are all considered for practical operations. Five test systems have been used to evaluate the effectiveness and robustness of the proposed algorithm in solving ELD problem. The simulation results distinctly reveal the superiority and feasibility of RLGWO to find the better solution in term of fuel cost and computational efficiency when comparing with previous literatures.
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