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Modeling Combined Shunt/Series FACTS in Power Flow Solutions: A Comprehensive Review Read chapter Read first chapter

2023 | OriginalPaper | Chapter

A Stochastic Multi-period Transmission Expansion Planning Using Whale Optimization Algorithm

Authors : Mohamed M. Refaat, Muhyaddin Rawa, Yousry Atia, Ziad M. Ali, Shady H. E. Abdel Aleem, Mahmoud M. Sayed

Published in: Modernization of Electric Power Systems

Publisher: Springer International Publishing

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Abstract

This chapter introduces a stochastic multi-period transmission expansion planning (SMTEP) model that considers the power system’s uncertainties and reliability constraints. Renewable generation sources (RGSs) are widely used in power systems. RGSs have a stochastic behavior that menaces the power system’s reliability and may result in partial or complete blackouts. The inclusion of N-1 security in SMTEP is also essential to ensure the continuity of electricity supply to loads under the worst conditions. The problem is formulated as a mixed-integer non-linear optimization problem. The whale optimization algorithm (WOA) is applied to solve the SMTEP problem. A reduction technique and an acceleration scheme are incorporated with the WOA to accelerate the convergence to the optimal solution and decrease computation time. The results of testing the WOA on a benchmark system and a realistic network show its efficiency and superiority, compared to other well-established algorithms, in terms of convergence time and quality of solutions. Further, case studies demonstrate the effectiveness of the suggested model in improving the power system’s reliability.

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Literature
1.
Mahdavi M, Sabillon Antunez C, Ajalli M, Romero R (2019) Transmission expansion planning: literature review and classification. IEEE Syst J 13(3):3129–3140CrossRef
2.
Gomes PV, Saraiva JT (2019) State-of-the-art of transmission expansion planning: a survey from restructuring to renewable and distributed electricity markets. Int J Electr Power Energy Syst 111:411–424CrossRef
3.
Esmaili M, Ghamsari-Yazdel M, Amjady N, Chung CY, Conejo AJ (2020) Transmission expansion planning including TCSCs and SFCLs: a MINLP approach. IEEE Trans Power Syst 35(6):4396–4407CrossRef
4.
Refaat MM, Aleem SHEA, Atia Y, Ali ZM, Sayed MM (2021) Multi-stage dynamic transmission network expansion planning using lshade-spacma. Appl Sci 11(5):1–22CrossRef
5.
Fathy AA, Elbages MS, El-Sehiemy RA, Bendary FM (2017) Static transmission expansion planning for realistic networks in Egypt. Electr Power Syst Res 151:404–418CrossRef
6.
Hamidpour H, Aghaei J, Pirouzi S, Dehghan S, Niknam T (2019) Flexible, reliable, and renewable power system resource expansion planning considering energy storage systems and demand response programs. IET Renew Power Gener 13(11):1862–1872CrossRef
7.
Wang Y, Zhou X, Shi Y, Zheng Z, Zeng Q, Chen L, Xiang B, Huang R (2021) Transmission network expansion planning considering wind power and load uncertainties based on multi-agent DDQN. Energies 14(19):6073CrossRef
8.
Ramirez JM, Hernandez-Tolentino A, Marmolejo-Saucedo JA (2021) A stochastic robust approach to deal with the generation and transmission expansion planning problem embedding renewable sources. In: Uncertainties in modern power systems. Elsevier, San Diego, pp 57–91CrossRef
9.
Mazaheri H, Ranjbar H, Saber H, Moeini-Aghtaie M (2021) Expansion planning of transmission networks. In: Uncertainties in modern power systems. Elsevier, San Diego, pp 35–56CrossRef
10.
Zhu Y, Brown D (2013) Expanding transmission planning capabilities for NERC standard TPL-001-2 compliance. In: IEEE power & energy society general meeting, pp 1–5
11.
Esmaili M, Ghamsari-Yazdel M, Amjady N, Chung CY (2021) Convex model for controlled islanding in transmission expansion planning to improve frequency stability. IEEE Trans Power Syst 36(1):58–67CrossRef
12.
Lee S, Kim H, Kim TH, Shin H, Kim W (2019) Fault current constraint transmission expansion planning based on the inverse matrix modification lemma and a valid inequality. Energies 12(24):4769CrossRef
13.
Nemati H, Latify MA, Yousefi GR (2021) Tri-level coordinated transmission and electrical energy storage systems expansion planning under physical intentional attacks. J Energy Storage 42:103095CrossRef
14.
Franken M, Barrios H, Schrief AB, Moser A (2020) Transmission expansion planning via power flow controlling technologies. IET Gener Transm Distrib 14(17):3530–3538CrossRef
15.
Lee STY, Hicks KL, Hnyilicza E (1974) Transmission expansion by branch-and-bound integer programming with optimal cost — capacity curves. IEEE Trans Power Appar Syst PAS-93(5):1390–1400CrossRef
16.
Granville S et al (1988) Mathematical decomposition techniques for power system expansion planning: Volume 2, analysis of the linearized power flow model using the bender decomposition technique, Stanford Univ., CA (USA). Systems Optimization Lab
17.
Romero R, Monticelli A (1994) A hierarchical decomposition approach for transmission network expansion planning. IEEE Trans Power Syst 9(1):373–380CrossRef
18.
Alizadeh B, Jadid S (2015) A dynamic model for coordination of generation and transmission expansion planning in power systems. Int J Electr Power Energy Syst 65:408–418CrossRef
19.
Huang S, Dinavahi V (2017) A branch-and-cut benders decomposition algorithm for transmission expansion planning. IEEE Syst J 13(1):659–669CrossRef
20.
Vinasco G, Rider MJ, Romero R (2011) A strategy to solve the multistage transmission expansion planning problem. IEEE Trans Power Syst 26(4):2574–2576CrossRef
21.
Özdemir Ö, Munoz FD, Ho JL, Hobbs BF (2015) Economic analysis of transmission expansion planning with price-responsive demand and quadratic losses by successive LP. IEEE Trans Power Syst 31(2):1096–1107CrossRef
22.
Pereira MVF, Pinto LMVG (1985) Application of sensitivity analysis of load supplying capability to interactive transmission expansion planning. IEEE Trans Power Appar Syst PAS-104(2):381–389CrossRef
23.
Romero R, Rocha C, Mantovani M, Mantovani JRS (2003) Analysis of heuristic algorithms for the transportation model in static and multistage planning in network expansion systems. IEE Proc-Gener Transm Distrib 150(5):521–526CrossRef
24.
Sousa AS, Asada EN (2011) Combined heuristic with fuzzy system to transmission system expansion planning. Electr Power Syst Res 81(1):123–128CrossRef
25.
Zhang X, Conejo AJ (2018) Candidate line selection for transmission expansion planning considering long- and short-term uncertainty. Int J Electr Power Energy Syst 100:320–330CrossRef
26.
Abdi H, Moradi M, Lumbreras S (2021) Metaheuristics and transmission expansion planning: a comparative case study. Energies 14(12):3618CrossRef
27.
Da Silva EL, Gil HA, Areiza JM (2000) Transmission network expansion planning under an improved genetic algorithm. IEEE Trans Power Syst 15(3):1168–1174CrossRef
28.
Escobar AH, Gallego RA, Romero R (2004) Multistage and coordinated planning of the expansion of transmission systems. IEEE Trans Power Syst 19(2):735–744CrossRef
29.
Shayeghi H, Mahdavi M, Bagheri A (2010) Discrete PSO algorithm based optimization of transmission lines loading in TNEP problem. Energy Convers Manag 51(1):112–121CrossRef
30.
Shayeghi H, Mahdavi M, Bagheri A (2010) An improved DPSO with mutation based on similarity algorithm for optimization of transmission lines loading. Energy Convers Manag 51(12):2715–2723CrossRef
31.
Torres SP, Castro CA (2014) Expansion planning for smart transmission grids using AC model and shunt compensation. IET Gener Transm Distrib 8(5):966–975CrossRef
32.
Huang S, Dinavahi V (2017) Multi-group particle swarm optimisation for transmission expansion planning solution based on LU decomposition. IET Gener Transm Distrib 11(6):1434–1442CrossRef
33.
Da Silva EL, Areiza Ortiz JM, De Oliveira GC, Binato S (2001) Transmission network expansion planning under a Tabu search approach. IEEE Trans Power Syst 16(1):62–68CrossRef
34.
Shaheen AM (2019) Application of multi-verse optimizer for transmission network expansion planning in power systems. In: 2019 International conference on innovative trends in computer engineering, pp 371–376
35.
Shaheen AM, El-Sehiemy RA (2019) Binary and integer coded backtracking search optimization algorithm for transmission network expansion planning. WSEAS Trans Power Syst 14:47–54
36.
Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51–67CrossRef
37.
38.
Dunn JC (1973) A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
39.
Bezdek JC (2013) Pattern recognition with fuzzy objective function algorithms. Springer, United StatesMATH
40.
Mostafa MH, Ali SG, Ćalasan M, Abdelaziz AY, Aleem SHEA (2021) Scenario-based approach for efficient energy management in microgrids considering parameters uncertainty. In: 2021 25th international conference on information technology (IT), pp 1–7
41.
Biswas PP, Suganthan PN, Mallipeddi R, Amaratunga GAJ (2019) Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach. Appl Soft Comput J 75:616–632CrossRef
42.
Saboori H, Hemmati R (2016) Considering carbon capture and storage in electricity generation expansion planning. IEEE Trans Sustain Energy 7(4):1371–1378CrossRef
43.
Silva IDJ, Rider MJ, Romero R, Garcia AV, Murari CA (2005) Transmission network expansion planning with security constraints. IEE Proc-Gener Transm Distrib 152(6):828–836CrossRef
44.
45.
Zobaa AF, Aleem SA, Abdelaziz AY (eds) (2018) Classical and recent aspects of power system optimization. Elsevier, United Kingdom
46.
Rizk-Allah RM et al (2017) A new sine cosine optimization algorithm for solving combined non-convex economic and emission power dispatch problems. Int J Energy Convers 5(6):180–192
47.
Gandoman FH, Abdel Aleem SHE, Omar N, Ahmadi A, Alenezi FQ (2018) Short-term solar power forecasting considering cloud coverage and ambient temperature variation effects. Renew Energy 123:793–805CrossRef
Metadata
Title
A Stochastic Multi-period Transmission Expansion Planning Using Whale Optimization Algorithm
Authors
Mohamed M. Refaat
Muhyaddin Rawa
Yousry Atia
Ziad M. Ali
Shady H. E. Abdel Aleem
Mahmoud M. Sayed
Copyright Year
2023
Book
Modernization of Electric Power Systems

Print ISBN: 978-3-031-18995-1

Electronic ISBN: 978-3-031-18996-8

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-18996-8_12