Relevant bibliographies by topics / Deregulated Power Systems

Contents

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

Academic literature on the topic 'Deregulated Power Systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Deregulated Power Systems"

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M, Sindhu. "Optimal Power Flow in Deregulated Power Systems by Using Optimization Techniques." Revista Gestão Inovação e Tecnologias 11, no. 3 (2021): 1883–901. http://dx.doi.org/10.47059/revistageintec.v11i3.2058.

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Funabashi, Toshihisa. "Analysis Techniques in Deregulated Power Systems." IEEJ Transactions on Power and Energy 124, no. 8 (2004): 1007–11. http://dx.doi.org/10.1541/ieejpes.124.1007.

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Ferrero, R. W., and S. M. Shahidehpour. "Energy interchange in deregulated power systems." International Journal of Electrical Power & Energy Systems 18, no. 4 (1996): 251–58. http://dx.doi.org/10.1016/0142-0615(95)00070-4.

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Yu, C. W., S. H. Zhang, L. Wang, and T. S. Chung. "Analysis of interruptible electric power in deregulated power systems." Electric Power Systems Research 77, no. 5-6 (2007): 637–45. http://dx.doi.org/10.1016/j.epsr.2006.06.002.

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Azadani, E. Nasr, S. H. Hosseinian, P. Hasanpor Divshali, and B. Vahidi. "Stability Constrained Optimal Power Flow in Deregulated Power Systems." Electric Power Components and Systems 39, no. 8 (2011): 713–32. http://dx.doi.org/10.1080/15325008.2010.541409.

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Oyama, Tsutomu. "New Technologies Required in Deregulated Power Systems." IEEJ Transactions on Power and Energy 123, no. 1 (2003): 1–4. http://dx.doi.org/10.1541/ieejpes.123.1.

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Chakraborty, Mitul Ranjan, Subhojit Dawn, Pradip Kumar Saha, Jayanta Bhusan Basu, and Taha Selim Ustun. "A Comparative Review on Energy Storage Systems and Their Application in Deregulated Systems." Batteries 8, no. 9 (2022): 124. http://dx.doi.org/10.3390/batteries8090124.

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Electrical energy is critical to the advancement of both social and economic growth. Because of its importance, the electricity industry has historically been controlled and operated by governmental entities. The power market is being deregulated, and it has been modified throughout time. Both regulated and deregulated electricity markets have benefits and pitfalls in terms of energy costs, efficiency, and environmental repercussions. In regulated markets, policy-based strategies are often used to deal with the costs of fossil fuel resources and increase the feasibility of renewable energy sources. Renewables may be incorporated into deregulated markets by a mix of regulatory and market-based approaches, as described in this paper, to increase the systems economic stability. As the demand for energy has increased substantially in recent decades, particularly in developing nations, the quantity of greenhouse gas emissions has increased fast, as have fuel prices, which are the primary motivators for programmers to use renewable energy sources more effectively. Despite its obvious benefits, renewable energy has considerable drawbacks, such as irregularity in generation, because most renewable energy supplies are climate-dependent, demanding complex design, planning, and control optimization approaches. Several optimization solutions have been used in the renewable-integrated deregulated power system. Energy storage technology has risen in relevance as the usage of renewable energy has expanded, since these devices may absorb electricity generated by renewables during off-peak demand hours and feed it back into the grid during peak demand hours. Using renewable energy and storing it for future use instead of expanding fossil fuel power can assist in reducing greenhouse gas emissions. There is a desire to maximize the societal benefit of a deregulated system by better using existing power system capacity through the implementation of an energy storage system (ESS). As a result, good ESS device placement offers innovative control capabilities in steady-state power flow regulation as well as dynamic stability management. This paper examines numerous elements of renewable integrated deregulated power systems and gives a comprehensive overview of the most current research breakthroughs in this field. The main objectives of the reviews are the maximization of system profit, maximization of social welfare and minimization of system generation cost and loss by optimal placement of energy storage devices and renewable energy systems. This study will be very helpful for the power production companies who want to build new renewable-based power plant by sighted the present status of renewable energy sources along with the details of several EES systems. The incorporation of storage devices in the renewable-incorporated deregulated system will provide maximum social benefit by supplying additional power to the thermal power plant with minimum cost.
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Rabiee, A., H. Shayanfar, and N. Amjady. "Multiobjective clearing of reactive power market in deregulated power systems." Applied Energy 86, no. 9 (2009): 1555–64. http://dx.doi.org/10.1016/j.apenergy.2008.11.006.

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Burade, Prakash, Rajendra Sadafale, and Anand Satpute. "ATC using FACTS Devices in Deregulated Power Systems." IRA-International Journal of Technology & Engineering (ISSN 2455-4480) 7, no. 2 (S) (2017): 214. http://dx.doi.org/10.21013/jte.icsesd201721.

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A Repeated Power Flow with FACTS devices including ATC is used to evaluate the feasible ATC value within real and reactive power generation limits, line thermal limits, voltage limits and FACTS operation limits. An IEEE-30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool to enhance ATC. A Genetic Algorithm technique is used for validation purposes. Introduction of FACTS devices in a right combination of location and parameters could enhance ATC and Ant Colony optimization can be efficiently used for this kind of nonlinear integer optimization.
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Song, Z., L. Goel, and P. Wang. "Optimal spinning reserve allocation in deregulated power systems." IEE Proceedings - Generation, Transmission and Distribution 152, no. 4 (2005): 483. http://dx.doi.org/10.1049/ip-gtd:20045034.

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Dissertations / Theses on the topic "Deregulated Power Systems"

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Khatib, Abdel Rahman Amin. "Internet-based Wide Area Measurement Applications in Deregulated Power Systems." Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/28579.

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Since the deregulation of power systems was started in 1989 in the UK, many countries have been motivated to undergo deregulation. The United State started deregulation in the energy sector in California back in 1996. Since that time many other states have also started the deregulation procedures in different utilities. Most of the deregulation market in the United States now is in the wholesale market area, however, the retail market is still undergoing changes. Deregulation has many impacts on power system network operation and control. The number of power transactions among the utilities has increased and many Independent Power Producers (IPPs) now have a rich market for competition especially in the green power market. The Federal Energy Regulatory Commission (FERC) called upon utilities to develop the Regional Transmission Organization (RTO). The RTO is a step toward the national transmission grid. RTO is an independent entity that will operate the transmission system in a large region. The main goal of forming RTOs is to increase the operation efficiency of the power network under the impact of the deregulated market. The objective of this work is to study Internet based Wide Area Information Sharing (WAIS) applications in the deregulated power system. The study is the first step toward building a national transmission grid picture using information sharing among utilities. Two main topics are covered as applications for the WAIS in the deregulated power system, state estimation and Total Transfer Capability (TTC) calculations. As a first step for building this national transmission grid picture, WAIS and the level of information sharing of the state estimation calculations have been discussed. WAIS impacts to the TTC calculations are also covered. A new technique to update the TTC using on line measurements based on WAIS created by sharing state estimation is presented.<br>Ph. D.
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Li, Yishan. "Short-term and long-term reliability studies in the deregulated power systems." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3113.

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The electric power industry is undergoing a restructuring process. The major goals of the change of the industry structure are to motivate competition, reduce costs and improve the service quality for consumers. In the meantime, it is also important for the new structure to maintain system reliability. Power system reliability is comprised of two basic components, adequacy and security. In terms of the time frame, power system reliability can mean short-term reliability or long-term reliability. Short-term reliability is more a security issue while long-term reliability focuses more on the issue of adequacy. This dissertation presents techniques to address some security issues associated with short-term reliability and some adequacy issues related to long-term reliability in deregulated power systems. Short-term reliability is for operational purposes and is mainly concerned with security. Thus the way energy is dispatched and the actions the system operator takes to remedy an insecure system state such as transmission congestion are important to shortterm reliability. Our studies on short-term reliability are therefore focused on these two aspects. We first investigate the formulation of the auction-based dispatch by the law of supply and demand. Then we develop efficient algorithms to solve the auction-based dispatch with different types of bidding functions. Finally we propose a new Optimal Power Flow (OPF) method based on sensitivity factors and the technique of aggregation to manage congestion, which results from the auction-based dispatch. The algorithms and the new OPF method proposed here are much faster and more efficient than the conventional algorithms and methods. With regard to long-term reliability, the major issues are adequacy and its improvement. Our research thus is focused on these two aspects. First, we develop a probabilistic methodology to assess composite power system long-term reliability with both adequacy and security included by using the sequential Monte Carlo simulation method. We then investigate new ways to improve composite power system adequacy in the long-term. Specifically, we propose to use Flexible AC Transmission Systems (FACTS) such as Thyristor Controlled Series Capacitor (TCSC), Static Var Compensator (SVC) and Thyristor Controlled Phase Angle Regulator (TCPAR) to enhance reliability.
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Roy, Jyotirmoy. "Effects of ancillary service markets on frequency and voltage control performance of deregulated power systems." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Fall2007/j_roy_112607.pdf.

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Lei, Jiansheng. "Using graph theory to resolve state estimator issues faced by deregulated power systems." [College Station, Tex. : Texas A&M University, 2007. http://hdl.handle.net/1969.1/ETD-TAMU-1292.

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Bambenek, Joseph Jerome. "Long-term economically efficient transmission systems in a restructured and deregulated electric power industry." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/38816.

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Nandedkar, Aashay. "Optimization of Financial Transmission Right Portfolios Using Risk-Reward Analysis of Deregulated Power Systems." ScholarWorks@UNO, 2011. http://scholarworks.uno.edu/td/1334.

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Financial Transmission Rights (FTR) is an investment that protects the market customers from price uncertainty in the case of transmission line congestion. Pennsylvania-New Jersey-Maryland Interconnection (PJM) allows bidding of FTR's on various transmission paths. This thesis investigates quantitative methods for portfolio optimization to produce a risk-minimum portfolio of FTR's to bid. A computer model based on Security-Constrained Unit Commitment Problem and Risk-Reward Analysis is developed to simulate various operating conditions of a power system and predict the variations of power flows and corresponding electricity prices. It offers guidelines about the bidding cost and the amount of megawatts to bid for each transmission path, in order to obtain a certain profit with the corresponding minimum risk. The method for calculating the risk and reward is Markowitz Mean-Variance Analysis. The computer model also includes the LMP determination for which a MATLAB code has been developed. The model is tested on a 6-bus power system.
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Amiri, Shahnaz, and Bahram Moshfegh. "Possibilities and consequences of deregulation of the European electricity market for connection of heat sparse areas to district heating systems." Linköpings universitet, Energisystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-58385.

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The objective of the study is to analyse the conditions for connection of residential buildings in heat sparse areas to district heating systems in order to increase electricity production in municipal combined heat and power plants. The European electricity market has been assumed to be fully deregulated. The relation between connection of heat sparse areas, increased electricity and heat production as well as electricity prices, fuel prices and emissions rights is investigated. The results of the study show that there is potential to expand the district heating market to areas with lower heat concentrations in the cities of Gavle, Sandviken and Borlange in Sweden, with both economic and environmental benefits. The expansion provides a substantial heat demand of approximately 181 GWh/year, which results in an electricity power production of approximately 43 GWh/year. Since the detached and stand-alone houses in the studied heat sparse areas have been heated either by oil boiler or by direct electricity, connection to district heating also provides a substantial reduction in emissions of CO2. The largest reductions in CO2 emissions are found to be 211 ktonnes/year assuming coal-fired condensing power as marginal electricity production. Connection of heat sparse areas to district heating decrease the system costs and provide a profitability by approximately 22 million EURO/year for the studied municipalities if the price of electricity is at a European level, i.e. 110 EURO/MWh. Sensitivity analysis shows, among other things, that a strong relation exists between the price of electricity and the profitability of connecting heat sparse areas to district heating systems.<br>Original Publication:Shahnaz Amiri and Bahram Moshfegh, Possibilities and consequences of deregulation of the European electricity market for connection of heat sparse areas to district heating systems, 2010, Applied Energy, (87), 7, 2401-2410.http://dx.doi.org/10.1016/j.apenergy.2010.02.002Copyright: Elsevier Science B.V., Amsterdam.http://www.elsevier.com/
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Xu, Lin. "Data modeling and processing in deregulated power system." Online access for everyone, 2005. http://www.dissertations.wsu.edu/Dissertations/Spring2005/l%5Fxu%5F022805.pdf.

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Zhang, Mingming. "Power system energy imbalance settlement in deregulated electricity market." Thesis, University of Strathclyde, 2012. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=17833.

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In regulated electricity market the difference between forecast demand and actual demand is balanced by additional generation from the cheapest available source after network security is taken into consideration. The electricity price to supply this difference in demand forecast error is already pre-fixed through the bulk supply tariff. In deregulated market many of the current market structures rely on bilateral contracts for trading. This means that the amount of electricity purchased is pre-determined with the price or pricing method specified in the contract. In the event that the forecast does not agree with the actual demand, the difference is taken from the balancing market. The price for this difference in energy is not known until after the event. The financial settlement for this imbalance energy is different from the normal contract settlement. In the ideal case the imbalance should be zero but this is almost impossible as the contracted values are usually based on demand forecasts and which contain errors. The imbalance settlement thus depends very much on the electricity prices of the real time balancing market, and also on the structure of the balancing market which could be different from one country to another and could even be different for different markets within the same country. This thesis begins by reviewing the 5 typical electricity markets (UK, US, Australian, New Zealand and Argentina) in the world on aspects of dispatching method, trading inside the Pool and trading outside the Pool. The existing arrangement, balance & imbalance settlement method of each electricity market will be presented. The IEEE 30-bus system will be taken as the illustrate example, detailed comparison of total revenue income and load total payment has been conducted among the different settlement systems of each electricity market. Although some of these methods are very reliable and have been used extensively, as the limitation of the fuel and development of the renewable source, the Distributed Generator (DG) access, they may not be economical given the probability of contingencies and changes in the market environment. As a new application, a Dual use of electricity storage method is proposed to solve the imbalance settlement problem. The Dual Use Distributed Generator (DUDG) could access the real time market for balancing the errors from the demand forecast, no matter the demand increases or reduces, with a reasonable price both for generation side and the distribution side.
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Song, Fei. "Deregulated power transmission analysis and planning in congested networks." Thesis, Brunel University, 2008. http://bura.brunel.ac.uk/handle/2438/4819.

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In this thesis, methods of charging for the transmission system and optimising the expansion of the transmission network under the competitive power market are described. The first part of this thesis considers transmission tariff design. In the proposed approach, not only is all the necessary investment in the transmission system recovered, but also an absolute economic signal is offered which is very useful in the competitive power market. A fair power market opportunity is given to every participant by the new nodal-use method. The second part of this thesis considers transmission system expansion. All the tests are based on the Three Gorges Project in China. In this thesis, to optimally expand the transmission system, the LMP (Locational Marginal Price) selection method and the CBEP (Congestion-Based transmission system Expansion Planning) method are introduced. The LMP selection method is used to select optional plans for transmission system expansion. It is especially suitable for large transmission systems. The outstanding advantages of the LMP selection method are simplicity and computational efficiency. The CBEP method produces the optimal system expansion plan. For the first time, generation congestion and transmission congestion are separated within the system expansion problem. For this reason the CBEP method can be used in a supply-side power market and is suitable for the Chinese power market. In this thesis, the issue of how to relax the congestion in the transmission system have been solved. The transmission system can obtain enough income to recover the total required cost. For this reason more and more investment will come into the transmission system from investors. The risk for the independent generators is also under control in the CBEP method. Even when the system is congested, the uncertainty of LMP is taken into consideration.
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Books on the topic "Deregulated Power Systems"

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Moreno Chuquen, Ricardo, and Harold R. Chamorro. Graph Theory Applications to Deregulated Power Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-57589-2.

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Borenstein, Severin. The competitive effects of transmission capacity in a deregulated electricity industry. National Bureau of Economic Research, 1997.

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Chuquen, Ricardo Moreno, and Harold R. Chamorro. Graph Theory Applications to Deregulated Power Systems. Springer International Publishing AG, 2020.

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Chakrabarti, Abhijit, Samarjit Sengupta, and Sawan Sen. Electricity Pricing: Regulated, Deregulated and Smart Grid Systems. Taylor & Francis Group, 2018.

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Chakrabarti, Abhijit, Samarjit Sengupta, and Sawan Sen. Electricity Pricing: Regulated, Deregulated and Smart Grid Systems. Taylor & Francis Group, 2018.

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Chakrabarti, Abhijit, Samarjit Sengupta, and Sawan Sen. Electricity Pricing: Regulated, Deregulated and Smart Grid Systems. Taylor & Francis Group, 2018.

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Electricity Pricing: Regulated, Deregulated and Smart Grid Systems. Taylor & Francis Group, 2014.

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Chakrabarti, Abhijit, Samarjit Sengupta, and Sawan Sen. Electricity Pricing: Regulated, Deregulated and Smart Grid Systems. Taylor & Francis Group, 2018.

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Chakrabarti, Abhijit, Samarjit Sengupta, and Sawan Sen. Electricity Pricing: Regulated, Deregulated and Smart Grid Systems. Taylor & Francis Group, 2018.

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Momoh, James A., and Mohamed El Hawary. Power System Computational Tools in a Deregulated Environment (Electrical Engineering and Electronics). Marcel Dekker Inc, 2004.

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Book chapters on the topic "Deregulated Power Systems"

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Yousef, Hassan A. "LFC of Deregulated Multi-Area Power Systems." In Power System Load Frequency Control. CRC Press, 2017. http://dx.doi.org/10.1201/9781315166292-3.

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Paul, Bishaljit, Chandan Kumar Chanda, Jagadish Pal, and Manish Kumar Pathak. "Congested Power Transmission System in a Deregulated Power Market." In Computational Advancement in Communication Circuits and Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-8687-9_1.

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Singh, Digambar, Ramesh Kumar Meena, and Pawan Kumar Punia. "Optimal Location of Renewable Energy Generator in Deregulated Power Sector." In Algorithms for Intelligent Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0426-6_4.

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Shahidehpour, S. M., and M. I. Alomoush. "Decision Making in a Deregulated Power Environment Based on Fuzzy Sets." In Modern Optimisation Techniques in Power Systems. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9189-8_7.

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Tipping, James, and E. Grant Read. "Hybrid Bottom-Up/Top-Down Modeling of Prices in Deregulated Wholesale Power Markets." In Handbook of Power Systems II. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12686-4_8.

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Karri, Chandram, Durgam Rajababu, and K. Raghuram. "Optimal Bidding Strategy in Deregulated Power Market Using Krill Herd Algorithm." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1819-1_5.

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Sudhakar, A. V. V., Chandram Karri, and A. Jaya Laxmi. "Optimal Bidding Strategy in Deregulated Power Market Using Invasive Weed Optimization." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1822-1_39.

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Faudon, Valerie. "Power Generation from Nuclear Energy." In The Palgrave Handbook of International Energy Economics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86884-0_7.

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AbstractThis chapter discusses the economics of nuclear. It starts with the fundamentals of nuclear economics, with first the cost of nuclear operations and then the revenue side, in both regulated and deregulated markets. Then the chapter goes in depth into analyzing the economics of two specific cases: long-term operations of existing nuclear plants and nuclear new build-covering potential for cost reductions and the case of Small Modular Reactors. The chapter concludes with a review of new research to understand the value of nuclear in future decarbonized electricity systems.
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Prathiba, R., B. Balasingh Moses, Durairaj Devaraj, and M. Karuppasamypandiyan. "Multi-output On-Line ATC Estimation in Deregulated Power System Using ANN." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11218-3_21.

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Shafeeque Ahmed, K., Fini Fathima, Ramesh Ananthavijayan, Prabhakar Karthikeyan Shanmugam, Sarat Kumar Sahoo, and Rani Chinnappa Naidu. "Prediction of Market Power Using SVM as Regressor Under Deregulated Electricity Market." In Advances in Intelligent Systems and Computing. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0451-3_54.

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Conference papers on the topic "Deregulated Power Systems"

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Nizar, A. H., Zhao Yang Dong, and A. Liebman. "Customer information systems for deregulated ASEAN countries." In 2005 International Power Engineering Conference. IEEE, 2005. http://dx.doi.org/10.1109/ipec.2005.206941.

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Kumar, Nagendra, Barjeev Tyagi, and Vishal Kumar. "Deregulated AGC scheme using dynamic programming controller." In 2014 Eighteenth National Power Systems Conference (NPSC). IEEE, 2014. http://dx.doi.org/10.1109/npsc.2014.7103791.

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Nagi, Baldeep Singh, and Gagandeep Kaur. "Congestion Management in Deregulated Power Systems: A Review." In 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2018. http://dx.doi.org/10.1109/icacccn.2018.8748730.

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Jian Xiao, Fushuan Wen, C. Y. Chung, K. P. Wong, and Anquan Wang. "Risk-constrained congestion dispatch in deregulated power systems." In 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. IEEE, 2008. http://dx.doi.org/10.1109/drpt.2008.4523461.

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Shareef, H., and M. W. Mustafa. "A Hybrid Power Transfer Allocation Approach for Deregulated Power Systems." In 2006 IEEE International Power and Energy Conference. IEEE, 2006. http://dx.doi.org/10.1109/pecon.2006.346649.

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Mustafa, M. W., H. Shareef, and M. R. Ahmad. "An improved usage allocation method for deregulated transmission systems." In 2005 International Power Engineering Conference. IEEE, 2005. http://dx.doi.org/10.1109/ipec.2005.206942.

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Battu, Neelakanteshwar Rao, A. R. Abhyankar, and Nilanjan Senroy. "Distribution system reconfiguration in a deregulated environment." In 2016 IEEE 6th International Conference on Power Systems (ICPS). IEEE, 2016. http://dx.doi.org/10.1109/icpes.2016.7584214.

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Leevongwat, Ittiphong, and Parviz Rastgoufard. "Forecasting Locational Marginal Pricing in deregulated power markets." In 2009 IEEE/PES Power Systems Conference and Exposition (PSCE). IEEE, 2009. http://dx.doi.org/10.1109/psce.2009.4840140.

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Chen-Ching Liu. "Decision support tools for trading in deregulated energy systems." In Proceedings of Power Engineering Society Summer Meeting. IEEE, 2001. http://dx.doi.org/10.1109/pess.2001.970056.

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Jia, Qing-Shan, Min Xie, and Felix F. Wu. "Ordinal optimization based security dispatching in deregulated power systems." In 2009 Joint 48th IEEE Conference on Decision and Control (CDC) and 28th Chinese Control Conference (CCC). IEEE, 2009. http://dx.doi.org/10.1109/cdc.2009.5400740.

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Reports on the topic "Deregulated Power Systems"

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Bajura, Richard, and Ali Feliachi. Integrated Computing, Communication, and Distributed Control of Deregulated Electric Power Systems. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/938476.

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