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Relevant bibliographies by topics / Power transmission planning

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Academic literature on the topic 'Power transmission planning'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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Journal articles on the topic "Power transmission planning"

1

Karaki, Sami, Mithqal Sartawi, Anan Hamdan, and Najah Al-Hafi. "Computer aided power transmission planning." Electric Power Systems Research 9, no. 2 (September 1985): 133–39. http://dx.doi.org/10.1016/0378-7796(85)90030-6.

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Qu, Gang, Haozhong Cheng, Liangzhong Yao, Zeliang Ma, and Zhonglie Zhu. "Transmission surplus capacity based power transmission expansion planning." Electric Power Systems Research 80, no. 1 (January 2010): 19–27. http://dx.doi.org/10.1016/j.epsr.2009.08.001.

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Li, Wenyuan, and Paul Choudhury. "Probabilistic Transmission Planning." IEEE Power and Energy Magazine 5, no. 5 (2007): 46–53. http://dx.doi.org/10.1109/mpe.2007.904765.

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Huang, Yixin, Xinyi Liu, Zhi Zhang, Li Yang, Zhenzhi Lin, Yangqing Dan, Ke Sun, Zhou Lan, and Keping Zhu. "Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market." Energies 13, no. 18 (September 18, 2020): 4910. http://dx.doi.org/10.3390/en13184910.

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The uncertainty of generation and load increases in the transmission network in the power market. Considering the transmission congestion risk caused by various uncertainties of the transmission network, the optimal operation strategies of the transmission network under various operational scenarios are decided, aiming for the maximum of social benefit for the evaluation of the degree of scenario congestion. Then, a screening method for major congestion scenario is proposed based on the shadow price theory. With the goal of maximizing the difference between the social benefits and the investment and maintenance costs of transmission lines under major congestion scenarios, a multi-stage transmission network planning model based on major congestion scenarios is proposed to determine the configuration of transmission lines in each planning stage. In this paper, the multi-stage transmission network planning is a mixed integer linear programming problem. The DC power flow model and the commercial optimization software CPLEX are applied to solve the problem to obtain the planning scheme. The improved six-node Garver power system and the simplified 25-node power system of Zhejiang Province, China are used to verify the effectiveness of the proposed multi-stage planning model.

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Reis, F. S., P. M. S. Carvalho, and L. A. F. M. Ferreira. "Reinforcement Scheduling Convergence in Power Systems Transmission Planning." IEEE Transactions on Power Systems 20, no. 2 (May 2005): 1151–57. http://dx.doi.org/10.1109/tpwrs.2005.846073.

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Levi, V. A., and D. S. Popovic. "Integrated methodology for transmission and reactive power planning." IEEE Transactions on Power Systems 11, no. 1 (1996): 370–75. http://dx.doi.org/10.1109/59.486120.

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Hsu, Yuan-Yih, and Wah-Chun Chan. "Optimal transmission expansion planning for electric power systems." Electric Power Systems Research 9, no. 2 (September 1985): 141–48. http://dx.doi.org/10.1016/0378-7796(85)90031-8.

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8

Franken, Marco, Hans Barrios, Alexander B. Schrief, and Albert Moser. "Transmission expansion planning via power flow controlling technologies." IET Generation, Transmission & Distribution 14, no. 17 (September 4, 2020): 3530–38. http://dx.doi.org/10.1049/iet-gtd.2019.1897.

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Hooshmand, Rahmat-Allah, Reza Hemmati, and Moein Parastegari. "Combination of AC Transmission Expansion Planning and Reactive Power Planning in the restructured power system." Energy Conversion and Management 55 (March 2012): 26–35. http://dx.doi.org/10.1016/j.enconman.2011.10.020.

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Gbadamosi, Saheed Lekan, and Nnamdi I. Nwulu. "Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning." Journal of Engineering, Design and Technology 18, no. 5 (February 7, 2020): 1209–22. http://dx.doi.org/10.1108/jedt-11-2019-0291.

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Purpose The purpose of this study is to address the efficiency of power losses representation while still reducing the computational burden of an optimal power flow (OPF) model in transmission expansion planning (TEP) studies. Design/methodology/approach A modified TEP model is formulated with inclusions of linearized approximation of power losses for a large-scale power system with renewable energy sources. The multi-objectives function determines the effect of transmission line losses on the optimal power generation dispatch in the power system with and without inclusion of renewable energy sources with emphasis on minimizing the investment and operation costs, emission and the power losses. Findings This study investigates the impact of renewable energy sources on system operating characteristics such as transmission power losses and voltage profile. Sensitivity analysis of the performance for the developed deterministic quadratic programming models was analyzed based on optimal generated power and losses on the system. Research limitations/implications In the future, a comparison of the alternating current OPF and direct current (DC) OPF models based on the proposed mathematical formulations can be carried out to determine the efficiency and reduction of computation process of the two models. Practical implications This paper proposed an accurate way of computing transmission losses in DC OPF for a TEP context with a view of achieving a minimal computation time. Originality/value This paper addresses the following objectives: develop a modified DC OPF with a linearized approximation of power losses in TEP problem with large integration of RES. Investigate the impact of RES on system operating characteristics such as transmission power losses and voltage profile.

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Dissertations / Theses on the topic "Power transmission planning"

1

Liu, Haifeng. "Planning reactive power control for transmission enhancement." [Ames, Iowa : Iowa State University], 2007.

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Lee, Cheuk-wing. "Transmission expansion planning in a restructured electricity market." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38959410.

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Jia, Jundi. "Transmission Expansion Planning in Large Power SystemsUsing Power System Equivalencing Techniques." Thesis, KTH, Elektriska energisystem, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-149679.

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With an increasing demand for electric power, new transmission lines should be constructed with a rational plan in the long run to guarantee a reliable and economic operation. The transmission expansion planning (TEP) is a mixed integer non-linear programming (MINLP) optimization problem in nature, which requires tremendous computational efforts especially when it comes to a large-scale power system. Although a diversity of simplifications and computational techniques has been applied to TEP, it is still challenging to derive an optimal plan within little simulation time. Since equivalencing technique is able to reduce the size of a large-scale power system and help achieve remarkable computational performance, it is possibly effective and efficient to handle the intrinsic complexity of TEP problem. In this thesis, based on a detailed literature review, a mixed integer linear programming (MILP) approach in DC model is firstly formulated for a dynamic TEP problem considering N – 1 security criterion. Then, two traditional power flow based equivalencing techniques that are appropriate for simplifying TEP, REI and WARD, with necessary modifications, are respectively implemented in the initial TEP problem. The proposed algorithms are simulated on IEEE 24-bus reliability test system (RTS) to compare optimal plans between the original and equivalent system. Further assumptions and adjustments are searched and tested to get more accurate optimal plans. The results show that both modified equivalencing techniques can significantly decrease the simulation time. Regarding IEEE 24-bus RTS, the proposed algorithm for modified REI method can achieve relatively precise optimal plan with few errors while modified WARD method is not as good as modified REI method. Therefore, the modified REI method has a potential to be implemented in TEP problem to reduce the complexity and computational effort for large power system without jeopardizing accuracy. Further studies are needed to tune the modified REI method and revise the obtained optimal plan.

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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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He, Yang. "Electricity Generation and Transmission Planning in Deregulated Power Markets." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/196013.

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This dissertation addresses the long-term planning of power generation and transmission facilities in a deregulated power market. Three models with increasing complexities are developed, primarily for investment decisions in generation and transmission capacity. The models are presented in a two-stage decision context where generation and transmission capacity expansion decisions are made in the first stage, while power generation and transmission service fees are decided in the second stage. Uncertainties that exist in the second stage affect the capacity expansion decisions in the first stage. The first model assumes that the electric power market is not constrained by transmission capacity limit. The second model, which includes transmission constraints, considers the interactions between generation firms and the transmission network operator. The third model assumes that the generation and transmission sectors make capacity investment decisions separately. These models result in Nash-Cournot equilibrium among the unregulated generation firms, while the regulated transmission network operator supports the competition among generation firms. Several issues in the deregulated electric power market can be studied with these models such as market powers of generation firms and transmission network operator, uncertainties of the future market, and interactions between the generation and transmission sectors. Results deduced from the developed models include (a) regulated transmission network operator will not reserve transmission capacity to gain extra profits; instead, it will make capacity expansion decisions to support the competition in the generation sector; (b) generation firms will provide more power supplies when there is more demand; (c) in the presence of future uncertainties, the generation firms will add more generation capacity if the demand in the future power market is expected to be higher; and (d) the transmission capacity invested by the transmission network operator depends on the characteristic of the power market and the topology of the transmission network. Also, the second model, which considers interactions between generation and transmission sectors, yields higher social welfare in the electric power market, than the third model where generation firms and transmission network operator make investment decisions separately.

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Lee, Cheuk-wing, and 李卓穎. "Transmission expansion planning in a restructured electricity market." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38959410.

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Sozer, Sevin Park Chan S. "Transmission expansion planning to alleviate congestion in deregulated power markets." Auburn, Ala., 2006. http://repo.lib.auburn.edu/Send%206-15-07/SOZER_SEVIN_35.pdf.

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Chebbo, Hind Munzer. "Power transmission planning using heuristic optimisation techniques : deterministic crowding genetic algorithms and ant colony search methods." Thesis, Brunel University, 2000. http://bura.brunel.ac.uk/handle/2438/5781.

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The goal of transmission planning in electric power systems is a robust network which is economical, reliable, and in harmony with its environment taking into account the inherent uncertainties. For reasons of practicality, transmission planners have normally taken an incremental approach and tended to evaluate a relatively small number of expansion alternatives over a relatively short time horizon. In this thesis, two new planning methodologies namely the Deterministic Crowding Genetic Algorithm and the Ant Colony System are applied to solve the long term transmission planning problem. Both optimisation techniques consider a 'green field' approach, and are not constrained by the existing network design. They both identify the optimal transmission network over an extended time horizon based only on the expected pattern of electricity demand and generation sources. Two computer codes have been developed. An initial comparative investigation of the application of Ant Colony Optimisation and a Genetic Algorithm to an artificial test problem has been undertaken. It was found that both approaches were comparable for the artificial test problem.

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9

Zhang, Fan. "Solving Large Security-Constrained Optimal Power Flow for Power Grid Planning and Operations." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1592567584117811.

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10

Aryal, Durga. "Analysis and Planning of Power Transmission System Subject to Uncertainties in the Grid." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/87401.

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Power transmission systems frequently experience new power flow pattern due to several factors that increase uncertainties in the system. For instance, load shape uncertainty, uncertainty due to penetration of renewable sources, changing standards, and energy de-regulation threaten the reliability and security of power transmission systems. This demands for more rigorous analysis and planning of power transmission systems. Stability issues in power transmission system are more pronounced with the penetration of utility-scale Photo-Voltaic (PV) sources. Synchronous generators provide inertia that helps in damping oscillations that arise due to fluctuations in the power system. Therefore, as PV generators replace the conventional synchronous generators, power transmission systems become vulnerable to these abnormalities. In this thesis, we study the effect of reduced inertia due to the penetration of utility-scale PV on the transient stability of power transmissions systems. In addition, the effect of increased PV penetration level in the system during normal operating condition is also analyzed. The later study illustrates that the PV penetration level and the placement of PV sources play crucial roles in determining the stability of power transmission systems. Given increasing uncertainties in power transmission systems, there is a need to seek an alternative to deterministic planning approach because it inherently lacks capability to cover all the uncertainties. One practical alternative is the probabilistic planning approach. In probabilistic planning approach, an analysis is made with a wide variety of scenarios by considering the probability of occurrence of each scenario and the probability of contingencies. Then, the severity of the contingencies risk associated with each planning practice is calculated. However, due to the lack of techniques and tools to select wide varieties of scenarios along with their probability of occurrence, the probabilistic transmission planning approach has not been implemented in real-world power transmission systems. This thesis presents a technique that can select wide varieties of scenarios along with their probability of occurrence to facilitate probabilistic planning in Electricity Reliability Council of Texas (ERCOT) systems.
Master of Science
Reliability of power transmission systems are threatened due to the increasing uncertainties arising from penetration of renewable energy sources, load growth, energy de-regulation and changing standards. Stability issues become more prevalent than in past due to increasing load growth as the demand for reactive power increases. Several researchers have been studying the impact of increased load growth and increased penetration of renewables on the dynamic stability of the distribution system. However, far less emphasis has been given to the power transmission system. This thesis presents the transient stability analysis of power transmission systems during overloading conditions. Our study also facilitates identification of weak areas of the transmission system during overloading condition. In addition, the impact of replacing conventional synchronous generator by Photovoltaics (PV) on voltage stability of the system is also analyzed. With increasing uncertainties in transmission systems, it is necessary to carefully analyze a wide variety of scenarios while planning the system. The current approach to transmission planning i.e., the deterministic approach does not sufficiently cover all the uncertainties. This has imposed the need for the probabilistic transmission planning approach where the overall system is planned based on the analysis of wide varieties of scenarios. In addition, by considering the probability of occurrence of a scenario, the probability of contingencies and severity of contingencies risk associated with each planning practice is calculated. However, there is no well-established approach that is capable of selecting wide varieties of scenarios based on their probability of occurrence. Due to this limitation, probabilistic approach is not widely implemented in real-world power transmission systems. To address this issue, this thesis presents a new technique, based on K-means clustering, to select scenarios based on their probability of occurrence.

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Books on the topic "Power transmission planning"

1

Probabilistic transmission system planning. Hoboken, N.J: Wiley-IEEE Press, 2011.

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Commission, Manitoba Clean Environment. Wuskwatim generation and transmission projects. Winnipeg: Manitoba Clean Environment Commission, 2004.

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Deming, Mary Beard. Planning alternative corridors for transmission: PIER final project report. [Sacramento, Calif.]: California Energy Commission, 2009.

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Environment, California Institute for Energy and the. Transmission grid research: Final project report. [Sacramento, California]: California Energy Commission, 2012.

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Budhraja, Vikram S. Transmission benefit quantification, cost allocation and cost recovery. Sacramento]: California Energy Commission, 2008.

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Benato, Roberto. EHV AC undergrounding electrical power: Performance and planning. London: Springer, 2010.

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Anderson, Grace. Strategic transmission investment plan: Commission report. [Sacramento, Calif.]: California Energy Commission, 2009.

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Couderchet, Laurent. Propositions pour un protocole d'étude des paysages: Définition dans le cadre des projects d'aménagement de lignes aériennes de transport d'électricité. Besançon: Presses universitaires franc-comtoises, 2002.

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United States. Bureau of Land Management. Ten West Link transmission line project: Final environmental impact statement and proposed resource management plan amendments. [Lake Havasu City, Ariz.]: U.S. Department of the Interior, Bureau of Land Management, [Colorado River District Office], 2019.

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Québec (Province). Bureau d'audiences publiques sur l'environnement. Projet d'implantation du poste de l'Outaouais à 315-230 kV par Hydro-Québec. Québec]: Bureau d'audiences publiques sur l'environnement, 2000.

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Book chapters on the topic "Power transmission planning"

1

Haarla, Liisa, Mikko Koskinen, Ritva Hirvonen, and Pierre-Etienne Labeau. "Basic Concepts of Transmission Grid Planning." In Power Systems, 21–36. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-145-5_3.

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Zhang, Hui. "Introduction to Transmission Expansion Planning in Power Systems." In Power Electronics and Power Systems, 155–83. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17190-6_6.

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Osborn, Dale. "Wind Power Grid Integration wind power grid integration : Transmission Planning wind power grid integration transmission planning." In Encyclopedia of Sustainability Science and Technology, 12174–202. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_90.

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Osborn, Dale. "Wind Power Grid Integration wind power grid integration : Transmission Planning wind power grid integration transmission planning." In Renewable Energy Systems, 1740–68. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5820-3_90.

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Soroudi, Alireza. "Topics in Transmission Operation and Planning." In Power System Optimization Modeling in GAMS, 227–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62350-4_9.

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Tee, Chin Yen, and Marija D. Ilić. "Toward Valuing Flexibility in Transmission Planning." In Power Grid Operation in a Market Environment, 219–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119083016.ch8.

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Smith, J. Charles, Dale Osborn, Richard Piwko, Robert Zavadil, Brian Parsons, Lynn Coles, David Hawkins, Warren Lasher, and Bradley Nickell. "Transmission Planning for Wind Energy in the USA: Status and Prospects." In Wind Power in Power Systems, 413–37. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941842.ch19.

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Verma, Ashu, P. R. Bijwe, and B. K. Panigrahi. "A Metaheuristic Approach for Transmission System Expansion Planning." In Computational Intelligence in Power Engineering, 367–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14013-6_12.

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Ackermann, Thomas, Antje Orths, and Krzysztof Rudion. "Transmission Systems for Offshore Wind Power Plants and Operation Planning Strategies for Offshore Power Systems." In Wind Power in Power Systems, 293–327. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119941842.ch14.

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Sanchís, Gerald. "Transmission Network Expansion Planning of a Large Power System." In Transmission Expansion Planning: The Network Challenges of the Energy Transition, 39–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49428-5_3.

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Conference papers on the topic "Power transmission planning"

1

Lu, M., Z. Y. Dong, and T. K. Saha. "Transmission expansion planning flexibility." In 2005 International Power Engineering Conference. IEEE, 2005. http://dx.doi.org/10.1109/ipec.2005.207035.

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Xiang, Hongji, Shengyong Ye, Chuan Zhao, Mingliang Wu, Jie Ming, and Chaohua Dai. "Coordination of power-planning and transmission-planning considering wind power." In 2016 China International Conference on Electricity Distribution (CICED). IEEE, 2016. http://dx.doi.org/10.1109/ciced.2016.7576105.

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Xu, Zhao, Zhao Yang Dong, Kit Po Wong, and Zhun Fan. "Multi-Objective Transmission Planning." In 2009 Asia-Pacific Power and Energy Engineering Conference. IEEE, 2009. http://dx.doi.org/10.1109/appeec.2009.4918509.

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Marecek, Jakub, Martin Mevissen, and Jonas Christoffer Villumsen. "MINLP in transmission expansion planning." In 2016 Power Systems Computation Conference (PSCC). IEEE, 2016. http://dx.doi.org/10.1109/pscc.2016.7540906.

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Newham, Nikki, and A. Wood. "Transmission investment planning using SDDP." In 2007 Australasian Universities Power Engineering Conference (AUPEC). IEEE, 2007. http://dx.doi.org/10.1109/aupec.2007.4548057.

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Kavitha, D., and K. S. Swarup. "Transmission expansion planning using LP-based particle swarm optimization." In 2006 IEEE Power India Conference. IEEE, 2006. http://dx.doi.org/10.1109/poweri.2006.1632514.

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Newlun, Cody J., James D. McCalley, Rajaz Amitava, Ali Jahanbani Ardakani, Abhinav Venkatraman, and Armando L. Figueroa - Acevedo. "Adaptive Expansion Planning Framework for MISO Transmission Planning Process." In 2021 IEEE Kansas Power and Energy Conference (KPEC). IEEE, 2021. http://dx.doi.org/10.1109/kpec51835.2021.9446221.

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Bernecker, John, Sun Wook Kang, Jeff Billo, Anish Gaikwad, Nick Wintermantel, and Kevin Carden. "Probabilistic transmission planning at ERCOT." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7741720.

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Gu, Yang, and James McCalley. "Market-based transmission expansion planning." In 2011 IEEE/PES Power Systems Conference and Exposition (PSCE). IEEE, 2011. http://dx.doi.org/10.1109/psce.2011.5772507.

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Jiang, Haiyang, Ershun Du, Miao Miao, and Ning Zhang. "Stochastic Transmission Expansion Planning Considering the Transmission Overload Risk." In 2019 IEEE Power & Energy Society General Meeting (PESGM). IEEE, 2019. http://dx.doi.org/10.1109/pesgm40551.2019.8973678.

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Reports on the topic "Power transmission planning"

1

Milligan, M., E. Ela, J. Hein, T. Schneider, G. Brinkman, and P. Denholm. Renewable Electricity Futures Study. Volume 4: Bulk Electric Power Systems: Operations and Transmission Planning. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1046905.

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Milligan, Michael, Erik Ela, Jeff Hein, Thomas Schneider, Gregory Brinkman, and Paul Denholm. Renewable Electricity Futures Study. Volume 4: Bulk Electric Power Systems. Operations and Transmission Planning. Office of Scientific and Technical Information (OSTI), June 2012. http://dx.doi.org/10.2172/1219714.

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