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Relevant bibliographies by topics / Expansion of power generation

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Academic literature on the topic 'Expansion of power generation'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "Expansion of power generation"

1

Shu, Jun, Lei Wu, Lizi Zhang, and Bing Han. "Spatial Power Network Expansion Planning Considering Generation Expansion." IEEE Transactions on Power Systems 30, no. 4 (July 2015): 1815–24. http://dx.doi.org/10.1109/tpwrs.2014.2358237.

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Basu, Mousumi. "Electric Power and Heat Generation Expansion Planning." Electric Power Components and Systems 48, no. 4-5 (March 15, 2020): 501–11. http://dx.doi.org/10.1080/15325008.2020.1793840.

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Sharan, Ishan, and R. Balasubramanian. "Generation Expansion Planning with High Penetration of Wind Power." International Journal of Emerging Electric Power Systems 17, no. 4 (August 1, 2016): 401–23. http://dx.doi.org/10.1515/ijeeps-2015-0186.

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Abstract Worldwide thrust is being provided in generation of electricity from wind. Planning for the developmental needs of wind based power has to be consistent with the objective and basic framework of overall resource planning. The operational issues associated with the integration of wind power must be addressed at the planning stage. Lack of co-ordinated planning of wind turbine generators, conventional generating units and expansion of the transmission system may lead to curtailment of wind power due to transmission inadequacy or operational constraints. This paper presents a generation expansion planning model taking into account fuel transportation and power transmission constraints, while addressing the operational issues associated with the high penetration of wind power. For analyzing the operational issues, security constrained unit commitment algorithm is embedded in the integrated generation and transmission expansion planning model. The integrated generation and transmission expansion planning problem has been formulated as a mixed integer linear problem involving both binary and continuous variables in GAMS. The model has been applied to the expansion planning of a real system to illustrate the proposed approach.

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Kim, Sunoh, and Jin Hur. "Probabilistic Approaches to the Security Analysis of Smart Grid with High Wind Penetration: The Case of Jeju Island’s Power Grids." Energies 13, no. 21 (November 4, 2020): 5785. http://dx.doi.org/10.3390/en13215785.

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As the importance of renewable generating resources has grown around the world, South Korea is also trying to expand the proportion of renewable generating resources in the power generation sector. Among the various renewable energy sources, wind generating resources are emerging as a key alternative to conventional power generations in the electricity sector in Korea accounted for 17.7 GW of total capacity by 2030. As wind generating resources are gradually replacing traditional generating resources, the system security and reliability are negatively affected because of the variability, due to intermittent outputs. Therefore, existing power grids will need to be correctly re-measured to cover the large scale of renewable energy, including wind generation. To expand the grid, we must understand the characteristics of renewable energy and the impact of its adoption in the grid. In this paper, we analyze various characteristics of wind power generation, and then we propose a probabilistic power output modeling method to consider the uncertainty of wind power generation. For the probabilistic approach, Monte-Carlo simulation is used in the modeling method. The modeled wind power outputs can help planning for the reinforcement and expansion of power systems to expand the capacity for large-scale renewable energy in the future. To verify the proposed method, some case studies were performed using empirical data, and probabilistic power flow calculation was performed by integrating large-scale wind power generation to the Jeju Island power system. The probabilistic method proposed in this paper can efficiently plan power system expansion and play a key strategy of evaluating the security of the power system through the results of stochastic power flow calculation.

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Kaymaz, Pinar, Jorge Valenzuela, and Chan S. Park. "Transmission Congestion and Competition on Power Generation Expansion." IEEE Transactions on Power Systems 22, no. 1 (February 2007): 156–63. http://dx.doi.org/10.1109/tpwrs.2006.887960.

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Tejada-Arango, Diego A., German Morales-Espana, Sonja Wogrin, and Efraim Centeno. "Power-Based Generation Expansion Planning for Flexibility Requirements." IEEE Transactions on Power Systems 35, no. 3 (May 2020): 2012–23. http://dx.doi.org/10.1109/tpwrs.2019.2940286.

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Kamalinia, S., and M. Shahidehpour. "Generation expansion planning in wind-thermal power systems." IET Generation, Transmission & Distribution 4, no. 8 (2010): 940. http://dx.doi.org/10.1049/iet-gtd.2009.0695.

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Quaddus, M. A., and T. N. Goh. "Electric power generation expansion: Planning with multiple objectives." Applied Energy 19, no. 4 (January 1985): 301–19. http://dx.doi.org/10.1016/0306-2619(85)90004-2.

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Aghaei, Jamshid, Mohammad Amin Akbari, Alireza Roosta, and Amir Baharvandi. "Multiobjective generation expansion planning considering power system adequacy." Electric Power Systems Research 102 (September 2013): 8–19. http://dx.doi.org/10.1016/j.epsr.2013.04.001.

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., G. Srinivasulu. "GLOBAL ISSUE BASED POWER GENERATION EXPANSION PLANNING FOR A POWER SYSTEM." International Journal of Research in Engineering and Technology 01, no. 01 (January 25, 2012): 7–12. http://dx.doi.org/10.15623/ijret.2012.0101002.

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Dissertations / Theses on the topic "Expansion of power generation"

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Kaymaz, Pinar Valenzuela Jorge F. "Electric power generation expansion in deregulated markets." Auburn, Ala., 2007. http://repo.lib.auburn.edu/Send%2002-04-08/KAYMAZ_PINAR_52.pdf.

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Bouzguenda, Mounir. "Study of the combined cycle power plant as a generation expansion alternative." Thesis, Virginia Polytechnic Institute and State University, 1987. http://hdl.handle.net/10919/101165.

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Analysis of future alternatives for US utilities is needed as a part of evaluating the impact of combined cycle and phased-construction of integrated coal gasifier power plants on generation expansion. The study encompassed both large and small electric utilities and long-run, least-cost expansion plan for the generating system and studies of the short-run production cost of electrical generation for selected years. The long-run studies were carried out using the Wien Automatic System Planning Package (WASP-II). The optimal combined cycle penetration level was determined for a set of assumptions that involve economics, new technology trends, and feasibility as well as the utility's existing capacity and load forecast. Additional cases were run to account for phased construction and coal gasification. Two electric utilities were selected in this study. These are a U.S. southeastern utility the Bangladesh Electric Utility. The former was chosen as the large utility. The latter was considered a small size utility. WASP-II enhancements enabled us to run cases using IBM-RT and to account for phased construction. The sensitivity studies involved the penetration levels, the fuel supply (oil and natural gas), and economic dispatch of coal gasifiers in particular, and combined cycle power plants in general. Load forecast, and availability of hydroelectric energy were kept uniform. However, adding new power plants and retiring old ones were considered to achieve a more economical and reliable planning strategy while considering issues of technical feasibility.
M.S.

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Rinaldy. "A technique to incorporate the impacts of demand side management on generation expansion planning." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/40021.

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Mitchell-Colgan, Elliott. "Modeling Considerations for the Long-Term Generation and Transmission Expansion Power System Planning Problem." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/78068.

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Judicious Power System Planning ensures the adequacy of infrastructure to support continuous reliability and economy of power system operations. Planning processes have a long and rather successful history in the United States, but the recent infl‚ux of unpredictable, nondispatchable generation such as Wind Energy Conversion Systems (WECS) necessitates the re-evaluation of the merit of planning methodologies in the changing power system context. Traditionally, planning has followed a logical progression through generation, transmission, reactive power, and finally auxiliary system planning using expertise and ranking schemes. However, it is challenging to incorporate all of the inherent dependencies between expansion candidates' system impacts using these schemes. Simulation based optimization provides a systematic way to explore acceptable expansion plans and choose one or several "best" plans while considering those complex dependencies. Using optimization to solve the minimum-cost, reliability-constrained Generation and Transmission Expansion Problem (GTEP) is not a new concept, but the technology is not mature. This work inspects: load uncertainty modeling; sequential (GEP then TEP) versus unified (GTEP) models; and analyzes the impact on the methodologies achieved near-optimal plan. A sensitivity simulation on the original system and final, upgraded system is performed.
Master of Science

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Ng, Kwok-kei Simon. "A game-theoretic study of the strategic interaction between transmission and generation expansion planning in a restructured electricity market." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39343534.

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FALEYE, OMOBOBOLA. "Modelling Demand Uncertainties in Generation-Transmission Expansion planning : A case study of the Nigerian Power System." Thesis, KTH, Elektriska energisystem, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-91523.

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The Nigerian power system is one plagued with incessant load shedding due to inadequate generation and transmission capacities. Currently, less than 40% of the population is connected to the national grid and less than 50% of the available installed capacity is actively used in meeting demand. A new wave of energy reforms is on-going in the nation. There are proposed generation and expansion plans. These reforms have only fully taken into consideration present demands and not future energy demands. This means that even with new plants and transmission lines being constructed; there may still be inefficient generation and transmission capacities due to demand increase. This thesis models the uncertain future demands in the integrated generation-transmission planning model. An optimal investment plan is found using the deterministic optimization model of integrated generationtransmission planning. A decision analysis method was initially used to study the introduction of uncertain demand into the deterministic model. Then, a two-stage stochastic model of the generation-transmission planning taking into account uncertainties in energy demand is developed using scenario-wise decomposition method. The demand was modelled as taking discrete values with certain probabilities. These models are mixed-integer linear programming problems. They are implemented in the GAMS platform and solved using the CPLEX solver. A stylized version of the Nigerian power system is developed and tested. A thorough analysis and comparison of results from the models were carried out using the developed version of the Nigerian transmission grid.

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Ng, Kwok-kei Simon, and 吳國基. "A game-theoretic study of the strategic interaction between transmission and generation expansion planning in a restructuredelectricity market." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39343534.

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Ramírez, Torrealba Pedro Javier. "The role of flexibility in generation expansion planning of power systems with a high degree of renewables & vehicle electrification." Thesis, Imperial College London, 2014. http://hdl.handle.net/10044/1/44125.

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Renewable energy is beginning to play a major role in the production of clean and inexhaustible energy to supply electricity demand and to hedge against the price volatility of natural gas and oil. However, renewables are expected to increase existing net-demand variability and unpredictability. This will mean that in order to maintain the balance between demand and supply, flexible generation or demand will have to modify their production or consumption at higher rates and frequencies for larger shares of renewables in order to accommodate such extensive and rapid changes as effectively and economically as possible. This thesis addresses the relevance of generation and demand flexibility for the future expansion of power systems that expect large contributions from renewable resources and high levels of vehicle electrification. A novel fully integrated large-scale mixed-integer linear generation expansion planning model was developed, which incorporates detailed modelling of generation and demand (specifically electric vehicles) flexibility characteristics. Computational tractability and efficiency of the model are achieved by clustering generation and flexible demand resources, which allows using integer instead of binary decision variables. The use of integer variables allows reducing the model size in terms of both decision variables and constraints, and also avoids non-linearities in the model formulation. Case studies on conventional generation flexibility show that total system costs are underestimated by up to 24% with a traditional generation expansion planning model when compared to the results obtained with the proposed model. In addition, the optimal generation mix calculated by the traditional model is not only infeasible in terms of security, but also inefficient for absorbing available renewable energy and much more expensive of operating. The case studies also show that reductions in the minimum stable generation, and improvements in ramping capability, reduce the curtailment of renewable energy by up to 73%, as well as the total system costs by up to 20%. The case studies on EV flexibility and its impact on generation expansion planning, on the other hand, show that if the flexibility potential of flexible EV is not utilized, the installed capacity can increase by up to 50%, the total system costs can rise in by to 18%, the level of renewables curtailment can become up to 69x bigger, and the average energy prices can climb by up to 18%, with respect to the case in which EV flexibility is fully utilized. Finally, the developed model is able to produce useful indicative energy planning results that can help regulators, system planners and analysts to design and assess the proper market conditions, energy policies, and incentives required to deliver secure, affordable, sustainable and less polluting power systems in the future.

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Alraddadi, Musfer. "Toward Fully Renewable Power Systems in Regions with HighSolar Irradiation: Long-Term Planning and Operations." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1605791220407664.

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Saeidpour, Parizy Ehsan. "Electrical Energy Retail Price Optimization for an Interconnected/Islanded Power Grid." University of Akron / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=akron1512463830323059.

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Books on the topic "Expansion of power generation"

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New York (State). Legislature. Senate. Standing Committee on Commerce, Economic Development, and Small Business. In the matter of a public "fact-finding" hearing relating to the Power Authority of the State of New York and its expansion of hydroelectric generating capacity at the Niagara power facility. [Albany, N.Y.]: P.E. Williman, certified shorthand reporter, 1985.

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Canada. Industry, Science and Technology Canada. Power generation equipment. Ottawa: Industry, Science and Technology Canada, 1991.

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Power generation technologies. Amsterdam: Elsevier, 2005.

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Breeze, Paul. Power generation technologies. Oxford: Newnes, 2005.

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Canada. Industry, Science and Technology Canada. Power generation equipment. Ottawa, Ont: Industry, Science and Technology Canada, 1988.

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Tagare, Digambar M. Electric Power Generation. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470872659.

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van Overstraeten, R., and G. Caratti, eds. Photovoltaic Power Generation. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-2933-3.

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Magnetohydrodynamic electrical power generation. Chichester: J. Wiley, 1995.

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Agency, International Energy, ed. Oil in power generation. Paris: OECD/IEA, 1997.

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Wang, Jone-Lin. US power generation outlook. Cambridge, Mass: CERA, 2006.

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Book chapters on the topic "Expansion of power generation"

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Seifi, Hossein, and Mohammad Sadegh Sepasian. "Single-bus Generation Expansion Planning." In Power Systems, 69–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17989-1_5.

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Seifi, Hossein, and Mohammad Sadegh Sepasian. "Multi-bus Generation Expansion Planning." In Power Systems, 89–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17989-1_6.

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Choi, Jaeseok. "Renewable Energy Generation System Expansion Planning." In Sustainable Power Systems, 133–50. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2230-2_7.

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Mei, Shengwei, Xuemin Zhang, and Ming Cao. "Applications to Generation Expansion Planning and Power Network Planning." In Power Grid Complexity, 404–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-16211-4_13.

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Kalika, Vladimir I., and Shimon Frant. "A Multi-Criteria Approach for Power Generation Expansion Planning." In Lecture Notes in Economics and Mathematical Systems, 458–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56680-6_42.

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Careri, F., C. Genesi, P. Marannino, M. Montagna, S. Rossi, and I. Siviero. "Impact of GHG Emission Reduction on Power Generation Expansion Planning." In Handbook of CO₂ in Power Systems, 205–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27431-2_10.

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Setayesh Nazar, Mehrdad, and Alireza Heidari. "Multi-stage Resilient Distribution System Expansion Planning Considering Non-utility Gas-Fired Distributed Generation." In Power Systems Resilience, 193–222. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94442-5_8.

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He, Yanyi, Lizhi Wang, and Jianhui Wang. "Comparing Cap-and-Trade and Carbon Tax Policies in Generation Expansion Planning." In Handbook of CO₂ in Power Systems, 53–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27431-2_4.

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Nazar, Mehrdad Setayesh, and Alireza Heidari. "Optimal Robust Microgrid Expansion Planning Considering Intermittent Power Generation and Contingency Uncertainties." In Robust Optimal Planning and Operation of Electrical Energy Systems, 177–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04296-7_10.

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Kalika, Vladimir I., and Shimon Frant. "Multicriteria Optimization Accounting for Uncertainty in Dynamic Problem of Power Generation Expansion Planning." In Lecture Notes in Economics and Mathematical Systems, 409–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57311-8_35.

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Conference papers on the topic "Expansion of power generation"

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Pozo, David, Enzo Sauma, and Javier Contreras. "Impacts of network expansion on generation capacity expansion." In 2014 Power Systems Computation Conference (PSCC). IEEE, 2014. http://dx.doi.org/10.1109/pscc.2014.7038320.

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Malee, Rahul Kumar, Prerna Jain, Pranda Prashant Gupta, and Sharma Suman Dharampal. "Distribution system expansion planning incorporating distributed generation." In 2016 IEEE 7th Power India International Conference (PIICON). IEEE, 2016. http://dx.doi.org/10.1109/poweri.2016.8077273.

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Pereira, Adelino J. C., and Joao Tome Saraiva. "Generation Expansion Planning in Competitive Electricity Markets." In 2007 IEEE Power Tech. IEEE, 2007. http://dx.doi.org/10.1109/pct.2007.4538434.

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Unsihuay, Clodomiro, J. W. Marangon-Lima, and A. C. Zambroni de Souza. "Integrated Power Generation and Natural Gas Expansion Planning." In 2007 IEEE Power Tech. IEEE, 2007. http://dx.doi.org/10.1109/pct.2007.4538521.

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El-Sayed, Mohamed A. H., and Ahmed A. Arram. "Dispersed generation impact on distribution network expansion planning." In 2009 Power Systems Conference (PSC). IEEE, 2009. http://dx.doi.org/10.1109/psamp.2009.5262329.

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Hesamzadeh, M. R., and M. Amelin. "A generation expansion planning model of a strategic electricity generating firm." In 2011 IEEE Power & Energy Society General Meeting. IEEE, 2011. http://dx.doi.org/10.1109/pes.2011.6039563.

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Lee, Duehee, Jinho Lee, and Ross Baldick. "Wind power scenario generation for stochastic wind power generation and transmission expansion planning." In 2014 IEEE Power & Energy Society General Meeting. IEEE, 2014. http://dx.doi.org/10.1109/pesgm.2014.6939930.

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Manabe, Yusuke, Toshihisa Funabashi, Takeyoshi Kato, Muneaki Kurimoto, and Yasuo Suzuoki. "Probabilistic investment strategy modeling for generation expansion planning." In 2016 Power Systems Computation Conference (PSCC). IEEE, 2016. http://dx.doi.org/10.1109/pscc.2016.7540952.

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Askari, M. T., M. Z. A. Ab Kadir, H. Hizam, and J. Jasni. "Evaluation of uncertainties on generation expansion planning." In 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO). IEEE, 2013. http://dx.doi.org/10.1109/peoco.2013.6564556.

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Yuan, Bo, Shengyu Wu, and Jin Zong. "Multi-area generation expansion planning model of high variable generation penetration." In 2017 2nd International Conference on Power and Renewable Energy (ICPRE). IEEE, 2017. http://dx.doi.org/10.1109/icpre.2017.8390614.

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Reports on the topic "Expansion of power generation"

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Takita, Yoshiharu, Shohei Kono, and Atsumu Naoi. Study of Methods to Enhance Energy Utilization Efficiency of Micro Combined Heat and Power Generation Unit-Equipped with an Extended Expansion Linkage Engine and Reduction of Waste Energy. Warrendale, PA: SAE International, November 2011. http://dx.doi.org/10.4271/2011-32-0574.

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Conzelmann, G., V. Koritarov, W. Buehring, and T. Veselka. Zambia : long-term generation expansion study - executive summary. Office of Scientific and Technical Information (OSTI), February 2008. http://dx.doi.org/10.2172/924703.

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Berthelot, Y. Laser Generation of Sound by Nonlinear Thermal Expansion. Fort Belvoir, VA: Defense Technical Information Center, February 1994. http://dx.doi.org/10.21236/ada276955.

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Robert L. Johnson Jr. and Gary E. Carver. Solar Power Generation Development. Office of Scientific and Technical Information (OSTI), October 2011. http://dx.doi.org/10.2172/1047740.

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Boyd, Tonya. Geothermal Power Generation Plant. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1163767.

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Hadley, Stanton W., Shutang You, Mallikarjun Shankar, and Yilu Liu. Electric Grid Expansion Planning with High Levels of Variable Generation. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1238017.

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Gunawan, Andrey, Alexander Limia, and Shannon Yee. Sodium Ion Expansion Power Block for Distributed CSP. Office of Scientific and Technical Information (OSTI), February 2020. http://dx.doi.org/10.2172/1608301.

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Brugman, John, Mai Hattar, Kenneth Nichols, and Yuri Esaki. Next Generation Geothermal Power Plants. Office of Scientific and Technical Information (OSTI), September 1995. http://dx.doi.org/10.2172/894305.

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A. Nehrozoglu. ADVANCED CO2 CYCLE POWER GENERATION. Office of Scientific and Technical Information (OSTI), January 2004. http://dx.doi.org/10.2172/883159.

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A. Nehrozoglu. ADVANCED CO2 CYCLE POWER GENERATION. Office of Scientific and Technical Information (OSTI), October 2003. http://dx.doi.org/10.2172/883160.

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