A Multi-Year Scenario-Based Transmission Expansion Planning Model Incorporating Available Transfer Capability

Document Type : Research Article

Authors

1 Department of Electrical Engineering, Pooyesh Institute of Higher Education, Qom, Iran

2 Faculty of Electrical Engineering, Urmia University of Technology, Urmia, Iran

Abstract

This paper presents a multi-year scenario-based methodology for transmission expansion planning (TEP) in order to enhance the available transfer capability (ATC). The ATC is an important factor for all players of electricity market who participate in power transaction activities and can support the competition and nondiscriminatory access to transmission lines among all market participants. The transmission expansion planning studies deal with many uncertainties, such as system load uncertainties that are considered in this paper. The Latin hypercube sampling (LHS) method has been applied for generating different scenarios related to the load uncertainty. The objective function in the TEP model is to minimize the sum of investment costs (IC) and the expected operation costs (OC). Both ATC and TEP models are represented based on AC power flow constraints which are more accurate compared with the widely-used DC approach. In this respect, the nonlinear terms in power flow equations are linearized in order to obtain the efficient solutions by existing commercial solvers that can guarantee the achievement to the global optimal solution using branch and bound technique. The proposed model is applied to the IEEE 24-bus Reliability Test System and the results obtained show the efficiency, tractability and applicability of the proposed model.

Keywords

Main Subjects


[1]     J. Choi, T. D. Mount and R. J. Thomas, “Transmission expansion planning using contingency criteria”, IEEE Trans. Power Syst., vol. 22, no. 4, pp. 2249-2261, Nov. 2008.
[2]     C. W. Lee, S. K. K. Ng, J. Zhong and F. F. Wu, “Transmission expansion planning from past to future”, PSCE, pp. 257,265, 2006.
[3]     Zhi Wu, Yafei Liu, Wei Gu, Yonghui Wang, Chunxi Chen, Contingency-constrained robust transmission expansion planning under uncertainty, International Journal of Electrical Power & Energy Systems, Volume 101, 2018, Pages 331-338.
[4]     G. Chen, Z. Dong, D J Hill, “Transmission network expansion planning with wind energy integration: A stochastic programming model,” in Proc. IEEE PES General Meeting, San Diego, CA, USA, 2012 pp. 1-10.
[5]     H. Park, R. Baldick and D. P. Morton, "A Stochastic Transmission Planning Model with Dependent Load and Wind Forecasts," in IEEE Transactions on Power Systems, vol. 30, no. 6, pp. 3003-3011, Nov. 2015.
[6]     H. Yu, C. Y. Chung, K. P. Wong, J. H. Zhang, “A chance-constrained transmission network expansion planning method with consideration of load and wind farm uncertainties,” IEEE Trans. Power Syst., vol. 24, no. 3, pp. 1568-1576, May. 2009.
[7]     J. Qiu, J. Zhao and Z. Y. Dong, "Probabilistic transmission expansion planning for increasing wind power penetration," in IET Renewable Power Generation, vol. 11, no. 6, pp. 837-845, 5 10 2017.
[8]     F. Ugranli, E. Karatepe and A. H. Nielsen, "MILP Approach for Bilevel Transmission and Reactive Power Planning Considering Wind Curtailment," in IEEE Transactions on Power Systems, vol. 32, no. 1, pp. 652-661, Jan. 2017.
[9]     W. Wu, Z. Hu, Y. Song, G. Sansavini, H. Chen and X. Chen, "Transmission Network Expansion Planning Based on Chronological Evaluation Considering Wind Power Uncertainties," in IEEE Transactions on Power Systems.
[10] Saeed Zolfaghari, Tohid Akbari, Bilevel transmission expansion planning using second-order cone programming considering wind investment, Energy, Volume 154, 2018, Pages 455-465.
[11] Mingyang Sun, Jochen Cremer, Goran Strbac, A novel data-driven scenario generation framework for transmission expansion planning with high renewable energy penetration, Applied Energy, Volume 228, 2018, Pages 546-555.
[12] C. Roldán, A.A. Sánchez de la Nieta, R. García-Bertrand, R. Mínguez, Robust dynamic transmission and renewable generation expansion planning: Walking towards sustainable systems, International Journal of Electrical Power & Energy Systems, Volume 96, 2018, Pages 52-63.
[13] J. Wang, H. Zhong, W. Tang, R. Rajagopal, Q. Xia and C. Kang, "Tri-level Expansion Planning for Transmission Networks and Distributed Energy Resources Considering Transmission Cost Allocation," in IEEE Transactions on Sustainable Energy.
[14] Tohid Akbari, Ashkan Rahimi-Kian, Mohammad Tavakoli Bina, Security-constrained transmission expansion planning: A stochastic multi-objective approach, International Journal of Electrical Power & Energy Systems, Volume 43, Issue 1, 2012, Pages 444-453.
[15] S. Lumbreras, A. Ramos, P. Sánchez, Automatic selection of candidate investments for Transmission Expansion Planning, International Journal of Electrical Power & Energy Systems, Volume 59, 2014, Pages 130-140.
[16] Hadi Nemati, Mohammad Amin Latify, G. Reza Yousefi, Coordinated generation and transmission expansion planning for a power system under physical deliberate attacks, International Journal of Electrical Power & Energy Systems, Volume 96, 2018, Pages 208-221.
[17] Sara Lumbreras, Andrés Ramos, Fernando Banez-Chicharro, Optimal transmission network expansion planning in real-sized power systems with high renewable penetration, Electric Power Systems Research, Volume 149, 2017, Pages 76-88.
[18] Omid Alizadeh-Mousavi, Marija Zima-Bo─Źkarjova, Efficient Benders cuts for transmission expansion planning, Electric Power Systems Research, Volume 131, 2016, Pages 275-284.
[19] A. Moreira, D. Pozo, A. Street and E. Sauma, "Reliable Renewable Generation and Transmission Expansion Planning: Co-Optimizing System's Resources for Meeting Renewable Targets," in IEEE Transactions on Power Systems, vol. 32, no. 4, pp. 3246-3257, July 2017.
[20] A. Moreira, G. Strbac, R. Moreno, A. Street and I. Konstantelos, "A Five-Level MILP Model for Flexible Transmission Network Planning Under Uncertainty: A Min–Max Regret Approach," in IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 486-501, Jan. 2018.
[21] R. Mínguez, R. García-Bertrand, J. M. Arroyo and N. Alguacil, "On the Solution of Large-Scale Robust Transmission Network Expansion Planning Under Uncertain Demand and Generation Capacity," in IEEE Transactions on Power Systems, vol. 33, no. 2, pp. 1242-1251, March 2018.
[22] X. Zhang and A. J. Conejo, "Robust Transmission Expansion Planning Representing Long- and Short-Term Uncertainty," in IEEE Transactions on Power Systems, vol. 33, no. 2, pp. 1329-1338, March 2018.
[23] Saeed Zolfaghari, Tohid Akbari, A Multi-Objective Transmission Expansion Planning Strategy: A Bilevel Programming Method, AUT journal of electrical engineering, Volume 50(2), 2018, Pages 163-168.
[24] Y. Ou and C. Singh, “Assessment of available transfer capability and margins”, IEEE Trans. Power Syst., vol. 17, no. 2. May 2002.
[25] Available transfer capability definitions and determination,” NERC, Reference Document, Jun. 1996.
[26] N. F. Avila and C. Chu, "Distributed Probabilistic ATC Assessment by Optimality Conditions Decomposition and LHS Considering Intermittent Wind Power Generation," in IEEE Transactions on Sustainable Energy.
[27] J. Liu and C. Chu, "Iterative Distributed Algorithms for Real-Time Available Transfer Capability Assessment of Multiarea Power Systems," in IEEE Transactions on Smart Grid, vol. 6, no. 5, pp. 2569-2578, Sept. 2015.
[28] P. Du et al., "Probabilistic-Based Available Transfer Capability Assessment Considering Existing and Future Wind Generation Resources," in IEEE Transactions on Sustainable Energy, vol. 6, no. 4, pp. 1263-1271, Oct. 2015.
[29] H. Chen, X. Fang, R. Zhang, T. Jiang, G. Li and F. Li, "Available transfer capability evaluation in a deregulated electricity market considering correlated wind power," in IET Generation, Transmission & Distribution, vol. 12, no. 1, pp. 53-61, 2 1 2018.
[30] E. Shayesteh, B. F. Hobbs, L. Söder and M. Amelin, "ATC-Based System Reduction for Planning Power Systems with Correlated Wind and Loads," in IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 429-438, Jan. 2015.
[31] J. C. Helton and F. J. Davis, “Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems,” Reliability Engineering and System Safety, vol. 81, pp. 23–69, February 2003.
[32] Cai, D., Shi, D., Chen, J.: ‘Probabilistic load flow computation using Copula and Latin hypercube sampling’, IET Gener. Transm. Distrib., 2014, 8, (9), pp. 1539–1549.
[33] Shu, Z., Jirutitijaroen, P.: ‘Latin hypercube sampling techniques for power systems reliability analysis with renewable energy sources’, IEEE Trans. Power Syst., 2011, 26, (4), pp. 2066–2073.
[34] Arabpour, A., Besmi, MR., Maghouli, P.: 'Transmission expansion planning with linearized AC load flow by special ordered set method', J. Energy Eng., 2017 Vol. 144, Issue. 2.
[35] Akbari, T., Tavakoli Bina, M.: 'A linearized formulation of AC multi-year transmission expansion planning: A mixed-integer linear programming approach', Electr Pow Syst Res., 2014, 114, pp. 93-100.
[36] IEEE Committee Report, "The IEEE Reliability Test System - 1996." IEEE Transactions on Power Systems, 1999, 14(3): 1010 - 1020.
[37] R. D. Zimmerman, C. E. Murillo-Sánchez, and R. J. Thomas, "MATPOWER: Steady-State Operations, Planning and Analysis Tools for Power Systems Research and Education," Power Systems, IEEE Transactions on, vol. 26, no. 1, pp. 12-19, Feb. 2011.
[38] Tohid Akbari, Ashkan Rahimikian, Ahad Kazemi, A multi-stage stochastic transmission expansion planning method, Energy Conversion and Management, Volume 52, Issues 8–9, 2011, Pages 2844-2853.