Email this article OVERVIEW OF TRANSMISSION EXPANSION PLANNING
About this article
Received: 23/04/19 Revised: 12/05/20 Published: 20/05/20Authors
1. Tran Huu Tinh
, Ho Chi Minh city University of technology and education2. Vo Ngoc Dieu, Ho Chi Minh city University of technology
3. Quyen Huy anh, Ho Chi Minh city University of technology and education
Abstract
The objective main of transmission expansion planning (TEP) decided the local to be planed and expanded, the expanded power, investment cost, the reliability index to be improved. The TEP problem is a large-scale, complex and a mixed integer non-linear problem. A good solution of TEP is very important in power system. Therefore, the optimization methods applied to bring practical effects. This study presents the overview of TEP problem from different aspects such as, solving methods, reliability, uncertainty and security, electricity market, and from the modeling prospective in order to facilitate the other researcher’s works in this hot area to get a feasible algorithm academically and commercially. This paper aims essentially at presenting the literature overview of the TEP procedure.
Keywords
Full Text:
PDF (Tiếng Việt)References
[1]. R. Hemmati, R.-A. Hooshmand and A. Khodabakhshian, “State-of-the-art of transmission expansion planning: Comprehensive review,” Renew Sustainable Energy Rev., vol. 23, pp. 312-319, 2013.
[2]. Z. Junpeng, W. Liu, and C. Y. Chung, "Stochastic transmission expansion planning considering uncertain dynamic thermal rating of overhead lines," IEEE Transactions on Power Systems, vol. 34, no. 1, pp. 432-443, 2018.
[3]. S. Han, H.-J. Kim, and D. Lee, “A Long-Term Evaluation on Transmission Line Expansion Planning with Multistage Stochastic Programming,” Energies, vol. 13, no. 8, p. 1899, 2020.
[4]. S. Lumbreras, and A. Ramos, “The new challenges to transmission expansion planning,” Survey of recent practice and literature review. Electric Power Systems Research, vol. 134, pp. 19-29, 2016.
[5]. A. Hajebrahimi, A. Abdollahi, and M. Rashidinejad, "Probabilistic multiobjective transmission expansion planning incorporating demand response resources and large-scale distant wind farms," IEEE Systems Journal, vol. 11, no. 2, pp. 1170-1181, 2015.
[6]. I. Alhamrouni, et al., “AC-Based Differential Evolution Algorithm for Dynamic Transmission Expansion Planning,” Telkomnika, vol. 16, no. 5, pp. 2316-2330, 2018.
[7]. M. Mansour et al., "Transmission Expansion Planning in the presence of wind farms with a mixed AC and DC power flow model using an Imperialist Competitive Algorithm," Electric Power Systems Research, vol. 140, pp. 493-506, 2016.
[8]. J. Morteza, and A. Ebrahimi, "Reliability constrained generation expansion planning by a modified shuffled frog leaping algorithm," International Journal of Electrical Power & Energy Systems, vol. 64, pp. 743-751, 2015.
[9]. A., Saedeh, R.-A. Hooshmand, and R. Hemmati, "Stochastic transmission expansion planning incorporating reliability solved using SFLA meta-heuristic optimization technique," CSEE Journal of Power and Energy Systems, vol. 2, no. 2, pp. 79-86, 2016.
[10]. S. A. Silva and E. N. Asada, "Combined heuristic with fuzzy system to transmission system expansion planning," Electr Power Sys Res, vol. 81, no. 1, pp. 123-128, 2011.
[11]. T. Haryono, "Novel binary PSO algorithm based optimization of transmission expansion planning considering power losses," IOP Conference Series: Materials Science and Engineering, vol. 128, no. 1, p. 012023, 2016.
[12]. L. A.Gallego et al., "High-performance hybrid genetic algorithm to solve transmission network expansion planning," IET Generation, Transmission & Distribution, vol. 11, no. 5, pp. 1111-1118, 2016.
[13]. J. A. López, M. L.-L. Jesús, and M.-G. Nicolás, "A Hybrid Genetic Algorithm Applied to the Transmission Network Expansion Planning Considering Non-conventional Solution Candidates," Journal of Applied Science and Engineering, vol. 22, no. 3, pp. 569-578, 2019.
[14]. M. Mahdi, A. Kargarian, and A. Mohammadi, "Distributed optimisation-based collaborative security-constrained transmission expansion planning for multi-regional systems," IET Generation, Transmission & Distribution, vol. 13, no. 13, pp. 2819-2827, 2019.
[15]. M. Mahdi, A.Kargarian, and M. Rahmani, "Security-constrained transmission expansion planning using linear sensitivity factors," IET Generation, Transmission & Distribution, vol. 14, no. 2, pp. 200-210, 2019.
[16]. A. M. L. da Silva et al, "Constructive metaheuristics applied to transmission expansion planning with security constraints," 2017 19th international conference on intelligent system application to power systems (ISAP), IEEE, 2017.
[17]. R. P. B. Poubel et al., "Tree searching heuristic algorithm for multi-stage transmission planning considering security constraints via genetic algorithm," Electric Power Systems Research, vol. 142, pp. 290-297, 2017.
[18]. L. H. Macedo et al., "MILP branch flow model for concurrent AC multistage transmission expansion and reactive power planning with security constraints," IET Generation, Transmission & Distribution, vol. 10, no. 12, pp. 3023-3032, 2016.
[19]. S. Koosha and J. Mazloum, "Considering facts in optimal transmission expansion planning," Engineering, Technology & Applied Science Research, vol. 7, no. 5, pp. 1987-1995, 2017.
[20]. Z. Xiaohu, K.Tomsovic, and A.Dimitrovski. "Security constrained multi-stage transmission expansion planning considering a continuously variable series reactor," IEEE Transactions on Power Systems, vol. 32, no. 6, pp. 4442-4450, 2017.Refbacks
- There are currently no refbacks.