Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Buchtitelbild

2018 | OriginalPaper | Buchkapitel

A Genetic Algorithm to Solve Power System Expansion Planning with Renewable Energy

verfasst von : Lourdes Martínez-Villaseñor, Hiram Ponce, José Antonio Marmolejo, Juan Manuel Ramírez, Agustina Hernández

Erschienen in: Advances in Soft Computing

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, a deterministic dynamic mixed-integer programming model for solving the generation and transmission expansion-planning problem is addressed. The proposed model integrates conventional generation with renewable energy sources and it is based on a centralized planned transmission expansion. Due a growing demand over time, it is necessary to generate expansion plans that can meet the future requirements of energy systems. Nowadays, in most systems a public entity develops both the short and long of electricity-grid expansion planning and mainly deterministic methods are employed. In this study, an heuristic optimization approach based on genetic algorithms is presented. Numerical results show the performance of the proposed algorithm.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Nächstes Kapitel Memetic Algorithm for Constructing Covering Arrays of Variable Strength Based on Global-Best Harmony Search and Simulated Annealing
Literatur
1.
Abbasi, A.R., Seifi, A.R.: Energy expansion planning by considering electrical and thermal expansion simultaneously. Energy Convers. Manag. 83, 9–18 (2014)CrossRef
2.
Alizadeh, B., Jadid, S.: Reliability constrained coordination of generation and transmission expansion planning in power systems using mixed integer programming. IET Gener., Transm. Distrib. 5(9), 948–960 (2011)CrossRef
3.
Barati, F., Seifi, H., Sepasian, M.S., Nateghi, A., Shafie-khah, M., Catalão, J.P.: Multi-period integrated framework of generation, transmission, and natural gas grid expansion planning for large-scale systems. IEEE Trans. Power Syst. 30(5), 2527–2537 (2015)CrossRef
4.
Blum, C., Puchinger, J., Raidl, G.R., Roli, A.: Hybrid metaheuristics in combinatorial optimization: a survey. Appl. Soft Comput. 11(6), 4135–4151 (2011)CrossRef
5.
6.
Cadini, F., Zio, E., Petrescu, C.A.: Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms. Reliab. Eng. Syst. Saf. 95(3), 173–181 (2010)CrossRef
7.
Chen, S.L., Zhan, T.S., Tsay, M.T.: Generation expansion planning of the utility with refined immune algorithm. Electr. Power Syst. Res. 76(4), 251–258 (2006)CrossRef
8.
9.
Cortes-Carmona, M., Palma-Behnke, R., Moya, O.: Transmission network expansion planning by a hybrid simulated annealing algorithm. In: 2009 15th International Conference on Intelligent System Applications to Power Systems, ISAP 2009, pp. 1–7. IEEE (2009)
10.
Faria, H., Binato, S., Resende, M.G., Falcão, D.M.: Power transmission network design by greedy randomized adaptive path relinking. IEEE Trans. Power Syst. 20(1), 43–49 (2005)CrossRef
11.
Fortin, F.A., De Rainville, F.M., Gardner, M.A., Parizeau, M., Gagné, C.: DEAP: evolutionary algorithms made easy. J. Mach. Learn. Res. 13, 2171–2175 (2012)MathSciNetMATH
12.
Gallego, R., Monticelli, A., Romero, R.: Transmision system expansion planning by an extended genetic algorithm. IEE Proc.-Gener., Transm. Distrib. 145(3), 329–335 (1998)CrossRef
13.
Gallego, R.A., Romero, R., Monticelli, A.J.: Tabu search algorithm for network synthesis. IEEE Trans. Power Syst. 15(2), 490–495 (2000)CrossRef
14.
Haupt, R.L., Haupt, S.E., Haupt, S.E.: Practical Genetic Algorithms, vol. 2. Wiley, New York (1998)MATH
15.
Hemmati, R., Hooshmand, R.A., Khodabakhshian, A.: State-of-the-art of transmission expansion planning: comprehensive review. Renew. Sustain. Energy Rev. 23, 312–319 (2013)CrossRef
16.
Hemmati, R., Hooshmandd, R.A., Khodabakhshian, A.: Comprehensive review of generation and transmission expansion planning. IET Gener., Transm. Distrib. 7(9), 955–964 (2013)CrossRef
17.
Jadidoleslam, M., Ebrahimi, A.: Reliability constrained generation expansion planning by a modified shuffled frog leaping algorithm. Int. J. Electr. Power Energy Syst. 64, 743–751 (2015)CrossRef
18.
Jalilzadeh, S., Shabani, A., Azadru, A.: Multi-period generation expansion planning using genetic algorithm. In: 2010 International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 358–363. IEEE (2010)
19.
Javadi, M.S., Saniei, M., Mashhadi, H.R., Gutiérrez-Alcaraz, G.: Multi-objective expansion planning approach: distant wind farms and limited energy resources integration. IET Renew. Power Gener. 7(6), 652–668 (2013)CrossRef
20.
Jin, Y.X., Cheng, H.Z., Yan, J., Zhang, L.: New discrete method for particle swarm optimization and its application in transmission network expansion planning. Electr. Power Syst. Res. 77(3), 227–233 (2007)CrossRef
21.
Kannan, S., Baskar, S., McCalley, J.D., Murugan, P.: Application of NSGA-II algorithm to generation expansion planning. IEEE Trans. Power Syst. 24(1), 454–461 (2009)CrossRef
22.
Khakpoor, M., Jafari-Nokandi, M., Akbar Abdoos, A.: A new hybrid GA-fuzzy optimization algorithm for security-constrained based generation and transmission expansion planning in the deregulated environment. J. Intell. Fuzzy Syst. 33(6), 3789–3803 (2017)CrossRef
23.
Moradi, M., Abdi, H., Lumbreras, S., Ramos, A., Karimi, S.: Transmission expansion planning in the presence of wind farms with a mixed AC and DC power flow model using an imperialist competitive algorithm. Electr. Power Syst. Res. 140, 493–506 (2016)CrossRef
24.
Motamedi, A., Zareipour, H., Buygi, M.O., Rosehart, W.D.: A transmission planning framework considering future generation expansions in electricity markets. IEEE Trans. Power Syst. 25(4), 1987–1995 (2010)CrossRef
25.
Murugan, P., Kannan, S., Baskar, S.: Application of NSGA-II algorithm to single-objective transmission constrained generation expansion planning. IEEE Trans. Power Syst. 24(4), 1790–1797 (2009)CrossRef
26.
Murugan, P., Kannan, S., Baskar, S.: NSGA-II algorithm for multi-objective generation expansion planning problem. Electr. Power Syst. Res. 79(4), 622–628 (2009)CrossRef
27.
Neshat, N., Amin-Naseri, M.: Cleaner power generation through market-driven generation expansion planning: an agent-based hybrid framework of game theory and particle swarm optimization. J. Clean. Prod. 105, 206–217 (2015)CrossRef
28.
Pereira, A.J., Saraiva, J.T.: Generation expansion planning (GEP)-a long-term approach using system dynamics and genetic algorithms (GAs). Energy 36(8), 5180–5199 (2011)CrossRef
29.
Rajesh, K., Bhuvanesh, A., Kannan, S., Thangaraj, C.: Least cost generation expansion planning with solar power plant using differential evolution algorithm. Renew. Energy 85, 677–686 (2016)CrossRef
30.
31.
Romero, R., Gallego, R., Monticelli, A.: Transmission system expansion planning by simulated annealing. In: 1995 IEEE Proceedings of the Conference on Power Industry Computer Application, pp. 278–283. IEEE (1995)
32.
Sadegheih, A., Drake, P.: System network planning expansion using mathematical programming, genetic algorithms and tabu search. Energy Convers. Manag. 49(6), 1557–1566 (2008)CrossRef
33.
Sadeghi, H., Rashidinejad, M., Abdollahi, A.: A comprehensive sequential review study through the generation expansion planning. Renew. Sustain. Energy Rev. 67, 1369–1394 (2017)CrossRef
34.
Saka, M.P., Hasançebi, O., Geem, Z.W.: Metaheuristics in structural optimization and discussions on harmony search algorithm. Swarm Evol. Comput. 28, 88–97 (2016)CrossRef
35.
Shayeghi, H., Mahdavi, M., Bagheri, A.: Discrete PSO algorithm based optimization of transmission lines loading in TNEP problem. Energy Convers. Manag. 51(1), 112–121 (2010)CrossRef
36.
da Silva, A.M.L., Freire, M.R., Honório, L.M.: Transmission expansion planning optimization by adaptive multi-operator evolutionary algorithms. Electr. Power Syst. Res. 133, 173–181 (2016)CrossRef
37.
da Silva, A.M.L., Rezende, L.S., da Fonseca Manso, L.A., de Resende, L.C.: Reliability worth applied to transmission expansion planning based on ant colony system. Int. J. Electr. Power Energy Syst. 32(10), 1077–1084 (2010)CrossRef
38.
da Silva, E.L., Gil, H.A., Areiza, J.M.: Transmission network expansion planning under an improved genetic algorithm. In: Proceedings of the 21st 1999 IEEE International Conference on Power Industry Computer Applications, PICA 1999, pp. 315–321. IEEE (1999)
39.
40.
Verma, A., Panigrahi, B., Bijwe, P.: Harmony search algorithm for transmission network expansion planning. IET Gener., Transm. Distrib. 4(6), 663–673 (2010)CrossRef
41.
Yoza, A., Yona, A., Senjyu, T., Funabashi, T.: Optimal capacity and expansion planning methodology of PV and battery in smart house. Renew. Energy 69, 25–33 (2014)CrossRef
Metadaten
Titel
A Genetic Algorithm to Solve Power System Expansion Planning with Renewable Energy
verfasst von
Lourdes Martínez-Villaseñor
Hiram Ponce
José Antonio Marmolejo
Juan Manuel Ramírez
Agustina Hernández
Copyright-Jahr
2018
Buch
Advances in Soft Computing

Print ISBN: 978-3-030-04490-9

Electronic ISBN: 978-3-030-04491-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-030-04491-6_1

Premium Partner

    Bildnachweise