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Dissertations / Theses on the topic 'And Economic dispatch algorithm'

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Published: 3 June 2025
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1

Dahal, Keshav P., S. J. Galloway, G. M. Burt, and J. R. McDonald. "Generation scheduling using genetic algorithm based hybrid techniques." IEEE, 2001. http://hdl.handle.net/10454/2598.

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The solution of generation scheduling (GS) problems involves the determination of the unit commitment (UC) and economic dispatch (ED) for each generator in a power system at each time interval in the scheduling period. The solution procedure requires the simultaneous consideration of these two decisions. In recent years researchers have focused much attention on new solution techniques to GS. This paper proposes the application of a variety of genetic algorithm (GA) based approaches and investigates how these techniques may be improved in order to more quickly obtain the optimum or ne
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Yasmeen, Aneela. "A Distributed Algorithm for Optimal Dispatch in Smart Power Grids with Piecewise Linear Cost Functions." Thesis, University of Iowa, 2013. https://ir.uiowa.edu/etd/4930.

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We consider the optimal economic dispatch of power generators in a smart electric grid for allocating power between generators to meet load requirements at minimum total cost. We assume that each generator has a piece-wise linear cost function. We first present a polynomial time algorithm that achieves optimal dispatch. We then present a decentralized algorithm where, each generator independently adjusts its power output using only the aggregate power imbalance in the network, which can be observed by each generator throug
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Nemati, Mohsen Shiralizadeh [Verfasser]. "Optimization of Unit Commitment and Economic Dispatch in Microgrids Based on Genetic Algorithm and Mixed Integer Linear Programming / Mohsen Shiralizadeh Nemati." Kassel : Kassel University Press, 2018. http://d-nb.info/1161470972/34.

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Abuella, Mohamed A. "STUDY OF PARTICLE SWARM FOR OPTIMAL POWER FLOW IN IEEE BENCHMARK SYSTEMS INCLUDING WIND POWER GENERATORS." OpenSIUC, 2012. https://opensiuc.lib.siu.edu/theses/991.

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AN ABSTRACT OF THE THESIS OF Mohamed A. Abuella, for the Master of Science degree in Electrical and Computer Engineering, presented on May 10, 2012, at Southern Illinois University Carbondale. TITLE:STUDY OF PARTICLE SWARM FOR OPTIMAL POWER FLOW IN IEEE BENCHMARK SYSTEMS INCLUDING WIND POWER GENERATORS MAJOR PROFESSOR: Dr. C. Hatziadoniu, The aim of this thesis is the optimal economic dispatch of real power in systems that include wind power. The economic dispatch of wind power units is quite different of conventional thermal units. In addition, the consideration should take the intermittency
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Min, Liang. "Decomposition algorithms for multi-area power system analysis." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5919.

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A power system with multiple interconnected areas needs to be operated coordinately for the purposes of the system reliability and economic operation, although each area has its own ISO under the market environment. In consolidation of different areas under a common grid coordinator, analysis of a power system becomes more computationally demanding. Furthermore, the analysis becomes more challenging because each area cannot obtain the network operating or economic data of other areas. This dissertation investigates decomposition algorithms for multi-area power system transfer capability analys
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Leuthold, Florian U. "Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-26135.

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This dissertation focuses on selected issues in regard to the mathematical modeling of electricity markets. In a first step the interrelations of electric power market modeling are highlighted a crossroad between operations research, applied economics, and engineering. In a second step the development of a large-scale continental European economic engineering model named ELMOD is described and the model is applied to the issue of wind integration. It is concluded that enabling the integration of low-carbon technologies appears feasible for wind energy. In a third step algorithmic work is carri
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Holmberg, Johannes. "Analysis of a multiple dispatch algorithm." Thesis, Linköping University, Department of Computer and Information Science, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-2218.

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<p>The development of the new programming language Scream, within the project Software Renaissance, led to the need of a good multiple dispatch algorithm. A multiple dispatch algorithm, called Compressed n-dimensional table with row sharing; CNT-RS, was developed from the algorithm Compressed n-dimensional table, CNT. The purpose of CNT-RS was to create a more efficient algorithm. This report is the result of the work to analyse the CNT-RS algorithm. </p><p>In this report the domain of multiple dispatch, the multiple dispatch algorithm CNT and the new extended algorithm CNT-RS are presented. T
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Galland, Olga. "The Short-Run Security-Constrained Economic Dispatch." Thesis, KTH, Elektriska energisystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104295.

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In liberalized electricity markets, the outputs of controllable units (both generatorsand demands) must be defined at regular time intervals ("dispatch intervals"). Nowadays,balancing services are procured and dispatched not in the most efficient waypartly due to long dispatch intervals. The dispatch interval in most European countriesis one hour. The shortest dispatch interval is five minutes and is used in theAustralian National Electricity Market (NEM). During the dispatch interval, demandand wind power capacity uctuates a lot. To keep the supply-demand balance in thesystem, some generators
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Davuluri, Sruthi. "Decentralized economic dispatch for radial electric distribution systems." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122161.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 87-93).<br>Electricity power systems, typically a very slow-moving and traditional industry, is in a state of flux as technological innovations, such as rooftop solar, home energy management systems, and electric vehicles, are being rapidly integrated into electric distribution systems. As the need to decarbonize the electricity sector becomes increasingly import
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Menezes, Roberto Felipe Andrade. "Programação diária da operação de sistemas termelétricos utilizando algoritmo genético adaptativo e método de pontos interiores." Universidade Federal de Sergipe, 2017. https://ri.ufs.br/handle/riufs/5036.

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Fundação de Apoio a Pesquisa e à Inovação Tecnológica do Estado de Sergipe - FAPITEC/SE<br>The growth of the electric energy consumption in the last years has generated the need of the increase in the amount of power sources, making the electricity sector undergo some large changes. This has provided the search for tools that promotes a better efficiency and security to the electrical power systems. A planning problem that is considered important in the daily operation of the power systems is the Unit Commitment, where the time schedule of the operation is defined, determining which machi
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Hu, Fangting. "Economic and emission dispatch under the Electricity Market Reform." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/21457/.

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Nowadays, the global environmental pollution regulations drives the increase in the use of low-carbon sources as an alternative to conventional power generation. Moreover, the UK current energy policy, the Electricity Market Reform (EMR), has a strong focus on the security, affordability and decarbonisation of the energy system. In order to determine the optimal operation strategy from a techno-economics aspect under the EMR in the energy system, a Combined Economic and Emission Dispatch (CEED) model is investigated to solve the optimization problem in the energy system. This is able to find a
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Rastgoufard, Samin. "Applications of Artificial Intelligence in Power Systems." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2487.

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Artificial intelligence tools, which are fast, robust and adaptive can overcome the drawbacks of traditional solutions for several power systems problems. In this work, applications of AI techniques have been studied for solving two important problems in power systems. The first problem is static security evaluation (SSE). The objective of SSE is to identify the contingencies in planning and operations of power systems. Numerical conventional solutions are time-consuming, computationally expensive, and are not suitable for online applications. SSE may be considered as a binary-classification,
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Cho, Brian Bumseok. "A distributed control approach to optimal economic dispatch of power generators." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/787.

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In this dissertation, we propose a novel distributed approach to the control of generators in the electric grid. Specifically, we consider the problem of the optimal economic dispatch of generator; we present a simple, distributed algorithm, which adjusts the power-frequency set-points of generators to correct for power imbalances arising from generation and load fluctuations. In this algorithm each generator independently adjusts its real-power output based on its estimate of the aggregate power imbalance in the network; such as an estimate can be independently obtained by each generator thro
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Rosso, Stefano. "Power Plant Operation Optimization Economic dispatch of combined cycle power plants." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264350.

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As electricity production from renewable sources increases, higher flexibility is required by fossil fuel generation to cope with the inherent fluctuations of solar and wind power. This results in shorter operating cycles and steeper ramps for the turbines, and more uncertainty for the operators. This thesis work applies mathematical optimization and statistical learning to improve the economic dispatch of a combined cycle power plant composed by two separate blocks of two gas turbines and one steam turbine. The goal is to minimize the input fuel to the gas turbines while respecting a series o
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Bhatt, Dhruv. "Economic Dispatch of the Combined Cycle Power Plant Using Machine Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266110.

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Combined Cycle Power Plant (CCPP)s play a key role in modern powersystem due to their lesser investment cost, lower project executiontime, and higher operational flexibility compared to other conventionalgenerating assets. The nature of generation system is changing withever increasing penetration of the renewable energy resources. Whatwas once a clearly defined generation, transmission, and distributionflow is shifting towards fluctuating distribution generation. Because ofvariation in energy production from the renewable energy resources,CCPP are increasingly required to vary their load leve
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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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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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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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20

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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Chen, Yu-Meng, and 陳禹孟. "Research on Consensus Algorithm for Economic Dispatch problemin Distributed Grid." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8m3js5.

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碩士<br>元智大學<br>工業工程與管理學系<br>106<br>The power system can be divided into three parts: power generation, transmission & distribution and end users. The transmission & distribution part can be regarded as the highway of the power system, and the power can be transmitted through various infrastructures such as utility poles, cables and substation equipment. The global grid infrastructure market can be divided into three major categories: power lines, substations and control facilities and terminal equipment. In the future, the power grid will be developed to exchange power within the distribution n
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Gninkeu, Tchapda Ghislain Yanick. "Application of improved particle swarm optimization in economic dispatch of power systems." Diss., 2018. http://hdl.handle.net/10500/24428.

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Economic dispatch is an important optimization challenge in power systems. It helps to find the optimal output power of a number of generating units that satisfy the system load demand at the cheapest cost, considering equality and inequality constraints. Many nature inspired algorithms have been broadly applied to tackle it such as particle swarm optimization. In this dissertation, two improved particle swarm optimization techniques are proposed to solve economic dispatch problems. The first is a hybrid technique with Bat algorithm. Particle swarm optimization as the main optimizer integrates
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陳皇誠. "A study of the parallel algorithm for the economic dispatch solution." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/17367343342370793935.

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Wang, Jyh-Shin, and 王志炘. "Applied Unlimited Point Algorithm to Economic Dispatch of Power Transmission Losses Minimization." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/nuh543.

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碩士<br>逢甲大學<br>自動控制工程所<br>91<br>Abstract This study will provide an account on the use of penalty-function genetic algorithms method and penalty-function simulated annealing method to find the optimal power generating output that can minimize both the power generation cost and power transmission losses. These methods are used to find the exterior penalty function by way of the algorithms technology. For the nonlinear function in equality and inequality constraints, model is built up model by genetic algorithms and additional objective functions; this additional target function augment cost fu
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Chen, Wei-Min, and 陳尉民. "Application Novel Evolutionary Algorithm for Solving Environmental Economic Dispatch of Smart Microgrid." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/2r6rmh.

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碩士<br>和春技術學院<br>電機工程研究所<br>106<br>With the decreasing of the fossil energy source and the increasing of load demand, making full use of clean and renewable energy, Distributed Generation (DG) technologies gain more and more attentions. Microgrid in-tegrates the advantages of power generation from new energy and re-newable energy power generation systems connected to the grid. Microgrid can not only enhance the comprehensively cascaded utilization of energy, but also can be used as an effective complementary network of the utility in order to improve the power supply reliability and power quali
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Cheng, Kun-Sheng, and 鄭坤昇. "A New Optimal Algorithm-Isolation Nihe Immune Genetic Algorithm for Solving Bid-Based Dynamic Economic Dispatch." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/18242145992393063146.

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碩士<br>和春技術學院<br>電機工程系碩士班<br>103<br>This thesis planning presents a new optimal algorithm–Isolation Niche Immune Genetic Algorithm for solving Bid-Based Dynamic Economic Dispatch (INIGA-BDED) in a power system. Economic Dispatch determines the electrical power to be generated by the committed generating units in a power system so that the generation cost is minimized, while satisfying the load demand simultaneously. The developed Isolation Niche Immune Genetic Algorithm optimization technique used the total generation cost as the objective function and represented as the affinity measure. Throu
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Lin, Zhong-Yi, and 林中儀. "A Self-adaptive Multiobjective Differential Evolution Algorithm for the Environmental/Economic Dispatch Problem." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/4j8jnh.

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Tyen, Wen-Tsuan, and 田文村. "Economic Dispatch of Power Systems Using Enhanced Genetic Algorithms." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/91007619584078701489.

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碩士<br>國立中正大學<br>電機工程研究所<br>87<br>This thesis proposes enhanced genetic algorithms for economic dispatch of power systems. The objective of economic dispatch is to adjust the power generations for all running generators to meet the load demand, such that the total fuel cost of generation is minimized. The fuel cost of a thermal generating unit is generally expressed as a quadratic function of its power generation, but some particular units have different unit characteristics, such as discontinuous cost characteristics, cubic input-output characteristics, etc. To solve the economic d
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Lee, Shu-Ting, and 李曙廷. "Economic Dispatch of Power Systems Using Differential Evolution Algorithms." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/80011042377809244942.

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碩士<br>國立中正大學<br>電機工程研究所<br>87<br>This research proposes enhanced differential evolution algorithms to the application of economic operation of power systems. There are still problems of all-thermal economic dispatch and hydrothermal scheduling including pump-storage units, which are worth further discussing. The fuel cost of a thermal generating unit is generally expressed as a quadratic function of its power generation. However, some special units have different unit characteristics, such as discontinuous cost characteristics, cubic input-output characteristics, etc. To solve the complex econ
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CHEN, CHUN-CHI, and 陳俊棋. "Application of Improved Forest Optimization Algorithm to Multi-Area Dynamic Economic Dispatch with Hydroelectric Generation." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/37482976831075313807.

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碩士<br>國立雲林科技大學<br>電機工程系<br>104<br>This thesis investigates the problem that dispatches multi-area generation to achieve the lowest fuel cost, and constraints must be also satisfied in different time and different load demand. The purpose of the multi-area dynamic economic dispatch is to determine the power output of each generator in each area, and transmission tie lines are used to connect each area to satisfy load demand. Because of the development of industry and business, the demand of electrical energy increases year by year. Due to the thermal power is a majority of generation in power s
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Wu, Cheng-chieh, and 吳政頡. "A Harmony Genetic Algorithm - the combined heat and power economic dispatch and reliability problem cases." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/70350141435591543059.

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碩士<br>國立高雄第一科技大學<br>運籌管理研究所<br>100<br>This study applies a hybrid Harmony Genetic Algorithm to solve the optimization problem efficiently. Harmony Genetic Algorithm contains the features of genetic algorithm (GA) and harmony algorithm (HS). The newly formed chromosome is called Frankenstein originated from an open source framework for music composition and improvisation because parts of the new chromosome are reaped from other chromosomes rather than inherited conventionally from two parents only.This study uses a Harmony Genetic Algorithm to solve Combined Heat, Power Economic Dispatch (CHPED
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Wang, Ming-Jheng, and 王銘正. "Application of Improved Whale Optimization Algorithm to Multi-Objective Dynamic Economic Dispatch with Demand Response." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/n678vp.

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碩士<br>國立雲林科技大學<br>電機工程系<br>106<br>This thesis investigates multi-objective dynamic economic dispatch problem with considering the demand response. The purpose of that is to get the best power outputs of the thermal units, the curtailed power load by the customers, and to achieve the lowest cost of power generation, the lowest amount of emissions and the maximum profits for the power company. Due to the policy and lots of limited conditions which include the system real power balance, the total daily power curtailed by each customer, generation limits and so on, the multi objective dynamic econ
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Liu, Ting-Yu, and 劉庭佑. "Study on Economic Dispatch of a Microgrid by Radial Basis Function Neural Network and Bat Algorithm." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/hfhp77.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>107<br>The purpose of this thesis is to simulate and analyze economic dispatch for a microgrid with distributed storage systems. Based on historical load data and renewable energy data of microgrid, the neural layer and weight values between voltage, phase angle, and active and reactive power of loads are trained by a radial basis function neural network. The radial basis function neural network can speed up the calculation of power flow analysis and it will be verification by the IEEE 30-bus standard test system. The developed power flow method can calculate the sys
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Aldridge, C. J., S. McKee, J. R. McDonald, et al. "A knowledge-based genetic algorithm for unit commitment." 2001. http://hdl.handle.net/10454/3689.

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No<br>A genetic algorithm (GA) augmented with knowledge-based methods has been developed for solving the unit commitment economic dispatch problem. The GA evolves a population of binary strings which represent commitment schedules. The initial population of schedules is chosen using a method based on elicited scheduling knowledge. A fast rule-based dispatch method is then used to evaluate candidate solutions. The knowledge-based genetic algorithm is applied to a test system of ten thermal units over 24-hour time intervals, including minimum on/off times and ramp rates, and achieves lower cost
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Li, Chih-Yuan, and 李之源. "Economic Dispatch for Back-Pressure Cogeneration Considering Power Wheeling Using Genetic Algorithms." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/62286758915385727796.

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碩士<br>中原大學<br>電機工程學系<br>88<br>Since deregulation in the power industry, there are more and more private corporations join electric power market. The government encourages private generators to install efficient generating facilities. Moreover, private generators can be excused from the duty of energy ratio if their generation efficiency reach a specific threshold. Hence the cogeneration system with a high efficiency is gaining highly attention. Independent power producer can sell electricity to specific customers directly or indirectly in the future in Taiwan. Therefore, the purpose of this th
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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.
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Goldis, Evgeniy. "Topology control algorithms in power systems." Thesis, 2015. https://hdl.handle.net/2144/16306.

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This research focuses on improving the efficiency of power market operations by providing system operators additional tools for managing the costs of supplying and delivering electricity. A transmission topology control (TC) framework for production cost reduction based on a shift factor (SF) representation of branch and breaker flows is proposed. The framework models topology changes endogenously while maintaining linearity in the overall Mixed Integer Linear Programming (MILP) formulation. This work develops the DC lossless, and loss-adjusted TC formulations that can be used in a Day Ahea
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Leuthold, Florian U. "Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context: Economic Engineering Modeling of Liberalized Electricity Markets: Approaches, Algorithms, and Applications in a European Context." Doctoral thesis, 2009. https://tud.qucosa.de/id/qucosa%3A25185.

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This dissertation focuses on selected issues in regard to the mathematical modeling of electricity markets. In a first step the interrelations of electric power market modeling are highlighted a crossroad between operations research, applied economics, and engineering. In a second step the development of a large-scale continental European economic engineering model named ELMOD is described and the model is applied to the issue of wind integration. It is concluded that enabling the integration of low-carbon technologies appears feasible for wind energy. In a third step algorithmic work is carri
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LI, GING-YIN, and 李清吟. "Economic dispatch of power system." Thesis, 1986. http://ndltd.ncl.edu.tw/handle/93301923190654668677.

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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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(10653461), Veronica R. Bosquezfoti. "Distributed Optimization Algorithms for Inter-regional Coordination of Electricity Markets." Thesis, 2021.

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<p>In the US, seven regional transmission organizations (RTOs) operate wholesale electricity markets within three largely independent transmission systems, the largest of which includes five RTO regions and many vertically integrated utilities.</p> <p>RTOs operate a day-ahead and a real-time market. In the day-ahead market, generation and demand-side resources are optimally scheduled based on bids and offers for the next day. Those schedules are adjusted according to actual operating conditions in the real-time market. Both markets involve a unit commitment calculation, a mixed integer pr
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CHIANG, YU-CHUAN, and 江昱銓. "Optimal Reactive Power Dispatch Using Ordinal Optimization Algorithm." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/98yp44.

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碩士<br>高苑科技大學<br>電子工程研究所<br>105<br>In this paper, we propose an Ordinal Optimization (OO) algorithm for the solution of the Optimal Reactive Power Dispatch (ORPD) problem. The main objective of QRPD is to minimize active power loss and improve the voltage profile of power systems. Our algorithm consists of three stages. This work first constructed a crude but efficient model from a sample space. Then, a scheme with enhanced accuracy based on sensitivity theory was applied to identify the top samples to form the selected subset. Finally, we obtain a good enough solution with smallest objective v
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廖啟盛. "Energy-Aware Multi-UAV Dispatch and Handoff Algorithm." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/dsb8m5.

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碩士<br>國立彰化師範大學<br>資訊工程學系<br>107<br>For handling the broken-down communication infrastructure when a disaster event happens, this thesis proposes to dispatch the unmanned aerial vehicle (UAV) to the disaster area as the relay node, which further forms a Flying Ad hoc Network (FANET). Because the UAV only owns limited energy and a disaster event may need multiple UAVs to cover its area, an efficient multi-UAV dispatch algorithm is critical to recover the communication link of the disaster area. In this thesis, we adopt the mobile ground control station (GCS) to transport UAVs to the boundary of
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ZHOU, JIN-YI, and 周進益. "Economic dispatch for radially interconnected power systems." Thesis, 1988. http://ndltd.ncl.edu.tw/handle/89126842894455951259.

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HONG, YING-YI, and 洪穎怡. "Fast methodology for power system economic dispatch." Thesis, 1986. http://ndltd.ncl.edu.tw/handle/11234731658045345022.

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Cheng, Fu-Sheng, and 鄭富升. "Nonconvex Economic Dispatch by Integrated Artificial Intelligence." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/40693928403413610628.

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博士<br>國立中山大學<br>電機工程學系研究所<br>89<br>Abstract This dissertation presents a new algorithm by integrating evolutionary programming (EP), tabu search (TS) and quadratic programming (QP), named the evolutionary-tabu quadratic programming (ETQ) method, to solve the nonconvex economic dispatch problem (NED). This problem involves the economic dispatch with valve-point effects (EDVP), economic dispatch with piecewise quadratic cost function (EDPQ), and economic dispatch with prohibited operating zones (EDPO). EDPV, EDPQ and EDPO are similar problems when ETQ was employed. The problem was solved in two
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Ling, Lun-Kai, and 凌倫凱. "Applying Particle Swarm Optimization for Economic Dispatch." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/53813522663761797900.

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碩士<br>聖約翰科技大學<br>自動化及機電整合研究所<br>95<br>This thesis explores the applying of particle swarm optimization (PSO) to the combinatorial optimization problem of economic dispatch in power system. A set of power outputs of generating units is determined in the economic dispatch to minimize the total system production cost, while satisfying the power balance and operational constraints. Particle swarm optimization has the characteristics that are agents and free memory. According to the characteristics, it has a new coding for accelerative particle swarm optimization of solution for solving problem.
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SHARMA, MOHIT. "COMBINED ECONOMIC EMISSION DISPATCH USING OPTIM –TOOL." Thesis, 2012. http://dspace.dtu.ac.in:8080/jspui/handle/repository/13900.

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M.TECH<br>Combined economic emission dispatch (CEED) problem is to schedule the committed generating units’ outputs to meet the required load demand at minimum operating cost with minimum emission simultaneously. This multi-objective CEED problem is converted into a single objective function using a price penalty factor. In this paper, combined economic emission dispatch problem (CEED) problem has been formulated using price penalty factor and solving the problem using GA toolbox of MATLAB R2008b. The multi-objective optimization problem is solved using optimization tool by means of assi
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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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