Relevant bibliographies by topics / Unit commitment/Economic dispatch

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Unit commitment/Economic dispatch'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Unit commitment/Economic dispatch"

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Mohamed-Nor, Khalid, and Abdul Halim Abdul Rashid. "Efficient economic dispatch algorithm for thermal unit commitment." IEE Proceedings C Generation, Transmission and Distribution 138, no. 3 (1991): 213. http://dx.doi.org/10.1049/ip-c.1991.0025.

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Ouyang, Z., and S. M. Shahidehpour. "Heuristic multi-area unit commitment with economic dispatch." IEE Proceedings C Generation, Transmission and Distribution 138, no. 3 (1991): 242. http://dx.doi.org/10.1049/ip-c.1991.0030.

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Chen, C. L., and S. L. Che. "Short-term unit commitment with simplified economic dispatch." Electric Power Systems Research 21, no. 2 (1991): 115–20. http://dx.doi.org/10.1016/0378-7796(91)90025-i.

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

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Economic load dispatch among generating units is very important for any power plant. In this work, the economic load dispatch was made at Egbin Thermal Power plant supplying a total load of 600MW using six generating units. In carrying out this study, transmission losses were assumed to be included into the load supplied. Also three different combinations in the form of 6, 5 and 4 units commitment were considered. In each case, the total load was optimally dispatched between committed generating units using Particle Swarm Optimization (PSO). Similarly, the generation cost for each generating u
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Walsh, M. P., and M. J. O'Malley. "Augmented Hopfield network for unit commitment and economic dispatch." IEEE Transactions on Power Systems 12, no. 4 (1997): 1765–74. http://dx.doi.org/10.1109/59.627889.

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Cho, Youngchae, Takayuki Ishizaki, Nacim Ramdani, and Jun-ichi Imura. "Economic Dispatch Cost Reduction in Box-based Robust Unit Commitment." IFAC-PapersOnLine 53, no. 2 (2020): 13248–53. http://dx.doi.org/10.1016/j.ifacol.2020.12.153.

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Xie, Min, Yuxin Du, Peijun Cheng, Wei Wei, and Mingbo Liu. "A Cross-Entropy-Based Hybrid Membrane Computing Method for Power System Unit Commitment Problems." Energies 12, no. 3 (2019): 486. http://dx.doi.org/10.3390/en12030486.

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The cross-entropy based hybrid membrane computing method is proposed in this paper to solve the power system unit commitment problem. The traditional unit commitment problem can be usually decomposed into a bi-level optimization problem including unit start-stop scheduling problem and dynamic economic dispatch problem. In this paper, the genetic algorithm-based P system is proposed to schedule the unit start-stop plan, and the biomimetic membrane computing method combined with the cross-entropy is proposed to solve the dynamic economic dispatch problem with a unit start-stop plan given. The si
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Khunkitti, Sirote, Neville R. Watson, Rongrit Chatthaworn, Suttichai Premrudeepreechacharn, and Apirat Siritaratiwat. "An Improved DA-PSO Optimization Approach for Unit Commitment Problem." Energies 12, no. 12 (2019): 2335. http://dx.doi.org/10.3390/en12122335.

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Solving the Unit Commitment problem is an important step in optimally dispatching the available generation and involves two stages—deciding which generators to commit, and then deciding their power output (economic dispatch). The Unit Commitment problem is a mixed-integer combinational optimization problem that traditional optimization techniques struggle to solve, and metaheuristic techniques are better suited. Dragonfly algorithm (DA) and particle swarm optimization (PSO) are two such metaheuristic techniques, and recently a hybrid (DA-PSO), to make use of the best features of both, has been
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Prashar, Sushil, Vikram Kumar Kamboj, and Kultaar Deep Singh. "A Cost Effective Solution to Security Constrained Unit Commitment and Dispatch Problem using Hybrid Search Algorithm." E3S Web of Conferences 184 (2020): 01071. http://dx.doi.org/10.1051/e3sconf/202018401071.

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The Security constraints unit commitment (SCUC) is a powerful scheduling technique used in power markets for daily planning. SCUC is a framework that combines two common algorithms in the electricity industry: Unit Commitment (UC) and Economic Dispatch (ED), while adding a new dimension – Security. Load demand is changing continuously due to variation of load of industrial, residential and commercial sectors. Thus, it is very important to decide which generating unit should be kept on and how much power should be dispatched so that time varying load demand can be meet on Hourly basis and there
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Wang, C., and S. M. Shahidehpour. "Effects of ramp-rate limits on unit commitment and economic dispatch." IEEE Transactions on Power Systems 8, no. 3 (1993): 1341–50. http://dx.doi.org/10.1109/59.260859.

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Dissertations / Theses on the topic "Unit commitment/Economic dispatch"

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Cheung, Chak H. "A unified approach to unit commitment and economic dispatch in power system control." Thesis, Durham University, 1990. http://etheses.dur.ac.uk/1155/.

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Orero, Shadrack Otieno. "Power systems generation scheduling and optimisation using evolutionary computation techniques." Thesis, Brunel University, 1996. http://bura.brunel.ac.uk/handle/2438/4869.

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Optimal generation scheduling attempts to minimise the cost of power production while satisfying the various operation constraints and physical limitations on the power system components. The thermal generation scheduling problem can be considered as a power system control problem acting over different time frames. The unit commitment phase determines the optimum pattern for starting up and shutting down the generating units over the designated scheduling period, while the economic dispatch phase is concerned with allocation of the load demand among the on-line generators. In a hydrothermal sy
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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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Mihailovic, Nemanja. "A Cost Benefit Analysis of Using a Battery Energy Storage System (BESS) Represented by a Unit Commitment Model." Scholar Commons, 2018. https://scholarcommons.usf.edu/etd/7548.

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This thesis aims to provide a general overview of a cost and benefit analysis of incorporating a battery energy storage system within unit commitment model. The deregulation of the electricity market in the U.S. has only been around for the last two decades. With renewable energy and energy storage systems becoming less expensive, a decentralized market scheme is becoming more popular and plausible. The scope of this work is to provide a fundamental understanding of unit commitment and a cost analysis of applying a battery energy storage system to an already established power system. A battery
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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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Sriyanyong, Pichet. "Particle swarm optimisation with applications in power system generation." Thesis, Brunel University, 2007. http://bura.brunel.ac.uk/handle/2438/4858.

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Today the modern power system is more dynamic and its operation is a subject to a number of constraints that are reflected in various management and planning tools used by system operators. In the case of hourly generation planning, Economic Dispatch (ED) allocates the outputs of all committed generating units, which are previously identified by the solution of the Unit Commitment (UC) problem. Thus, the accurate solutions of the ED and UC problems are essential in order to operate the power system in an economic and efficient manner. A number of computation techniques have progressively been
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Hassan, Mohamed Elhafiz. "Power Plant Operation Optimization : Unit Commitment of Combined Cycle Power Plants Using Machine Learning and MILP." Thesis, mohamed-ahmed@siemens.com, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-395304.

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In modern days electric power systems, the penetration of renewable resources and the introduction of free market principles have led to new challenges facing the power producers and regulators. Renewable production is intermittent which leads to fluctuations in the grid and requires more control for regulators, and the free market principle raises the challenge for power plant producers to operate their plants in the most profitable way given the fluctuating prices. Those problems are addressed in the literature as the Economic Dispatch, and they have been discussed from both regulator and pr
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Bruce, Robert Alasdair Wilson. "Impacts of variable renewable generation on thermal power plant operating regimes." Thesis, University of Edinburgh, 2016. http://hdl.handle.net/1842/20387.

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The integration of variable renewable energy sources (VRE) is likely to cause fundamental and structural changes to the operation of future power systems. In the United Kingdom (UK), large amounts of price-insensitive and variable-output wind generation is expected to be deployed to contribute towards renewable energy and carbon dioxide (CO2) emission targets. Wind generation, with near-zero marginal costs, limited predictability, and a limited ability to provide upward dispatch, displaces price-setting thermal power plants, with higher marginal costs, changing flexibility and reserve requirem
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Madaeni, Seyed Hossein. "Challenges in Renewable Energy Integration." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1342628585.

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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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Books on the topic "Unit commitment/Economic dispatch"

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Bond, Stephen David. Evaluation of unit commitment techniques for the economic scheduling of thermal units. 1985.

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Book chapters on the topic "Unit commitment/Economic dispatch"

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Conejo, Antonio J., and Luis Baringo. "Unit Commitment and Economic Dispatch." In Power Electronics and Power Systems. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69407-8_7.

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Kumar, Jitendra, Ashu Verma, and T. S. Bhatti. "An Optimization Algorithm for Unit Commitment Economic Emission Dispatch Problem." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1822-1_11.

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Sheblé, Gerald B. "Economic Dispatch, Unit Commitment, and Optimal Power Flow as Auctions." In Computational Auction Mechanisms for Restructured Power Industry Operation. Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5157-7_4.

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Sriyanyong, P., Y. H. Song, and P. J. Turner. "Particle Swarm Optimisation for Operational Planning: Unit Commitment and Economic Dispatch." In Evolutionary Scheduling. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-48584-1_12.

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Soliman, Soliman Abdel-Hady, and Abdel-Aal Hassan Mantawy. "Economic Dispatch (ED) and Unit Commitment Problems (UCP): Formulation and Solution Algorithms." In Energy Systems. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1752-1_4.

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Rodríguez del Nozal, A., A. Tapia, L. Alvarado-Barrios, and D. G. Reina. "Application of Genetic Algorithms for Unit Commitment and Economic Dispatch Problems in Microgrids." In Nature Inspired Computing for Data Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33820-6_6.

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Phan, Dzung T., and Ali Koc. "Optimization Approaches to Security-Constrained Unit Commitment and Economic Dispatch with Uncertainty Analysis." In Energy Systems. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38134-8_1.

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Kannan, Nithiyananthan, Youssef Mobarak, and Fahd Alharbi. "Application of Cloud Computing for Economic Load Dispatch and Unit Commitment Computations of the Power System Network." In Computational Vision and Bio-Inspired Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37218-7_124.

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Shayeghi, Hossein, and Masoud Alilou. "Optimal Dispatch and Unit Commitment in Microgrids." In Microgrids. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59750-4_4.

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Al-Saadi, Mohammed K., Patrick C. K. Luk, and John Economou. "Unit Commitment Dynamic Unified Active and Reactive Power Dispatch of Microgrids with Integration of Electric Vehicles." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6364-0_67.

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Conference papers on the topic "Unit commitment/Economic dispatch"

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Bragin, Mikhail A., and Peter B. Luh. "Distributed and asynchronous unit commitment and economic dispatch." In 2017 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2017. http://dx.doi.org/10.1109/pesgm.2017.8273960.

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Tuffaha, Mutaz, and Jan Tommy Gravdahl. "Dynamic formulation of the unit commitment and economic dispatch problems." In 2015 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2015. http://dx.doi.org/10.1109/icit.2015.7125276.

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Kit Po Wong. "Computational intelligence applications in unit commitment, economic dispatch and loadflow." In APSCOM-97. International Conference on Advances in Power System Control, Operation and Management. IEE, 1997. http://dx.doi.org/10.1049/cp:19971804.

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Alamri, Abdullah, Maad AlOwaifeer, and A. P. Sakis Meliopoulos. "Multi-Objective Unit Commitment Economic Dispatch for Power Systems Reliability Assessment." In 2020 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). IEEE, 2020. http://dx.doi.org/10.1109/pmaps47429.2020.9183684.

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Cvijic, Sanja, and Jinjun Xiong. "Security constrained unit commitment and economic dispatch through benders decomposition: A comparative study." In 2011 IEEE Power & Energy Society General Meeting. IEEE, 2011. http://dx.doi.org/10.1109/pes.2011.6039643.

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Panda, Rajesh, and Prashant Kumar Tiwari. "Security Constrained Unit Commitment Economic Dispatch based Optimal Bidding Strategy in Risky Environment." In 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia). IEEE, 2019. http://dx.doi.org/10.1109/gtdasia.2019.8715992.

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Farsadi, Murtaza, Hadi Hosseinnejad, and Tohid Sattarpour Dizaji. "Solving unit commitment and economic dispatch simultaneously considering generator constraints by using nested PSO." In 2015 9th International Conference on Electrical and Electronics Engineering (ELECO). IEEE, 2015. http://dx.doi.org/10.1109/eleco.2015.7394478.

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Kumar, S. Senthil, and V. Palanisamy. "A New Dynamic Programming Based Hopfield Neural Network to Unit Commitment and Economic Dispatch." In 2006 IEEE International Conference on Industrial Technology. IEEE, 2006. http://dx.doi.org/10.1109/icit.2006.372253.

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Botterud, Audun, Zhi Zhou, Jianhui Wang, et al. "Demand dispatch and probabilistic wind power forecasting in unit commitment and economic dispatch: A case study of Illinois." In 2013 IEEE Power & Energy Society General Meeting. IEEE, 2013. http://dx.doi.org/10.1109/pesmg.2013.6672914.

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Bragin, Mikhail A., Peter B. Luh, Joseph H. Yan, and Gary A. Stern. "An efficient approach for Unit Commitment and Economic Dispatch with combined cycle units and AC Power Flow." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7741156.

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Reports on the topic "Unit commitment/Economic dispatch"

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Meyers, C., Y. Yao, T. Edmunds, and S. Smith. Large-Scale Stochastic Optimization for Unit Commitment and Economic Dispatch. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1091373.

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Yao, Y., C. Meyers, S. Smith, and T. Edmunds. Large-scale Stochastic Optimization for Unit Commitment and Economic Dispatch. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1055842.

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