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
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Electrical Engineering
Erschienen in: Electrical Engineering 2/2022

02.07.2021 | Original Paper

Optimal transmission switching based on probabilistic load flow in power system with large-scale renewable energy integration

verfasst von: Rizwan Ahmed, Aamir Nawaz, Zahid Javid, Muhammad Yousaf Ali Khan, Aamer Abbas Shah, Orlando M. Valarezo

Erschienen in: Electrical Engineering | Ausgabe 2/2022

Einloggen

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

search-config
loading …

Abstract

High scale integration of renewable energies has led power system towards a new set of challenges that have increased the complexity of cost optimization problem. Moreover, forecast errors in the prediction of wind, PV and load affect the accuracy of optimization. Therefore, cumulants and Gram–Charlier method have been proposed for solving probabilistic load flow (PLF)-based optimal transmission switching (OTS) for large-scale integration of renewable energy. The cumulants method has been used for forecast error evaluation in order to improve the accuracy of the proposed method. Moreover, Gram–Charlier method has been utilized for PLF-based OTS evaluation due to its fast convergence. In this paper, the simultaneous optimization of generation dispatch and network topology for PLF-based OTS has been investigated. Wind farm along with PV has been considered for large-scale integration. The proposed approach has been applied on IEEE 118 bus system with renewable integration. The results depict that the proposed approach is quite useful for large-scale power systems.
Vorheriger Artikel An improved Z-source inverter with high voltage boost ability
Nächster Artikel A survey on a novel double-rotor spoke-type permanent magnet induction generator employing bridged and bridgeless structures

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
Literatur
1.
Bakirtzis AG, Meliopoulos AS (1987) Incorporation of switching operations in power system corrective control computations. IEEE Trans Power Syst 2:669–675CrossRef
2.
Makram EB, Thorton KP, Brown HE (1989) Selection of lines to be switched to eliminate overloaded lines using a Z-matrix method. IEEE Trans Power Syst 4:653–661CrossRef
3.
Mazi AA, Wollenberg BF, Hesse MH (1986) Corrective control of power system flows by line and bus-bar switching. IEEE Trans Power Syst 1:258–264CrossRef
4.
Bacher R, Glavitsch H (1988) Loss reduction by network switching. IEEE Trans Power Syst 3:447–454CrossRef
5.
Schnyder G, Glavitsch H (1990) Security enhancement using an optimal switching power flow. IEEE Trans Power Syst 5:674–681CrossRef
6.
Bertram TJ, Demaree KD, Dangelmaier LC (1990) An integrated package for real-time security enhancement. IEEE Trans Power Syst 5:592–600CrossRef
7.
Nawaz A, Wang H (2021) Risk-aware distributed optimal power flow in coordinated transmission and distribution system. J Mod Power Syst Clean Energy 9:1–15CrossRef
8.
Shao W, Vittal V (2004) A new algorithm for relieving overloads and voltage violations by transmission line and bus-bar switching. In: Power systems conference and exposition. IEEE PES, pp 322–327
9.
Hedman KW, O’Neill RP, Fisher EB, Oren SS (2008) Optimal transmission switching—sensitivity analysis and extensions. IEEE Trans Power Syst 23:1469–1479CrossRef
10.
Hedman KW, O’Neill RP, Fisher EB, Oren SS (2009) Optimal transmission switching with contingency analysis. IEEE Trans Power Syst 24:1577–1586CrossRef
11.
Hedman KW, Ferris MC, Neill RPO, Fisher EB, Oren SS (2010) Co-optimization of generation unit commitment and transmission switching with N-1 reliability. IEEE Trans Power Syst 25:1052–1063CrossRef
12.
Bai Y, Zhong H, Xia Q, Kang C (2017) A two-level approach to AC optimal transmission switching with an accelerating technique. IEEE Trans Power Syst 32:1616–1625CrossRef
13.
Salkuti SR (2018) Congestion management using optimal transmission switching. IEEE Syst J 12:3555–3564CrossRef
14.
Yang Z, Zhong H, Xia Q, Kang C (2017) A novel network model for optimal power flow with reactive power and network losses. Electr Power Syst Res 144:63–71CrossRef
15.
Nawaz A, Mustafa E, Saleem N, Khattak MI, Shafi M, Malik A (2017) Solving convex and non-convex static and dynamic economic dispatch problems using hybrid particle multi-swarm optimization. Tehnički vjesnik 24:1095–1102
16.
Nawaz A, Saleem N, Mustafa E, Khan U (2017) An efficient global technique for solving the network constrained static and dynamic economic dispatch problem. Turk J Electr Eng Comput Sci 25:73–82CrossRef
17.
Nawaz A, Wang H (2020) Stochastically coordinated transmission and distribution system operation with large-scale wind farms. CSEE J Power Energy Syst 8:1–10
18.
Jiang J, Han X, Wang J, Zhu X, Sun D, Ma Y (2017) Optimal power flow with transmission switching for power system with wind/photovoltaic generation. In: Chinese automation congress (CAC), pp 5802–5806
19.
Alizadeh M, Moghaddam MP, Amjady N, Siano P, Sheikh-El-Eslami M (2016) Flexibility in future power systems with high renewable penetration: a review. Renew Sustain Energy Rev 57:1186–1193CrossRef
20.
Qiu F, Wang J (2015) Chance-constrained transmission switching with guaranteed wind power utilization. IEEE Trans Power Syst 30:1270–1278CrossRef
21.
Dehghan S, Amjady N (2016) Robust transmission and energy storage expansion planning in wind farm-integrated power systems considering transmission switching. IEEE Trans Sustain Energy 7:765–774CrossRef
22.
Nikoobakht A, Aghaei J, Mardaneh M, Niknam T, Vahidinasab V (2017) Moving beyond the optimal transmission switching: stochastic linearised SCUC for the integration of wind power generation and equipment failures uncertainties. IET Gen Trans Distrib 12:3780–3792CrossRef
23.
El-Hawary M, Mbamalu G (1988) Stochastic optimal load flow using Newton–Raphson iterative technique. Electr Mach Power Syst 15:371–380CrossRef
24.
Shukla M, Radman G (2005) Optimal power flow using probabilistic load model. In: Proceedings of the thirty-seventh southeastern symposium on system theory, SSST'05, pp 439–442
25.
Madrigal M, Ponnambalam K, Quintana V (1998) Probabilistic optimal power flow. In: IEEE Canadian conference on electrical and computer engineering, pp 385–388
26.
Li X, Li Y, Zhang S (2008) Analysis of probabilistic optimal power flow taking account of the variation of load power. IEEE Trans Power Syst 23:992–999CrossRef
27.
Verbic G, Schellenberg A, Rosehart W, Canizares CA (2006) Probabilistic optimal power flow applications to electricity markets. In: International conference on probabilistic methods applied to power systems, PMAPS, pp 1–6
28.
Schellenberg A, Rosehart W, Aguado J (2005) Introduction to cumulant-based probabilistic optimal power flow (P-OPF). IEEE Trans Power Syst 20:1184–1186CrossRef
29.
Schellenberg A, Rosehart W, Aguado J (2004) Cumulant based probabilistic optimal power flow (P-OPF). In: 2004 international conference on probabilistic methods applied to power systems, pp 506–511
30.
Schellenberg A, Rosehart W, Aguado J (2005) Cumulant-based probabilistic optimal power flow (P-OPF) with Gaussian and gamma distributions. IEEE Trans Power Syst 20:773–781CrossRef
31.
Eie MH (2018) Probabilistic load flow studies: analytical and approximate methods. NTNU
32.
Qin C, Yu Y, Zeng Y (2018) Probabilistic load flow for power systems with wind power considering the multi-time scale dispatching strategy. J Electr Eng Technol 13:1494–1503
33.
Chateau J-P, Dufresne D (2017) Gram–Charlier processes and applications to option pricing. J Probab Stat 2017:1–19MathSciNetCrossRef
34.
Chateau J-P, Dufresne D (2012) Gram–Charlier processes and equity-indexed annuities. Working paper 227. Centre for Actuarial Studies, University of Melbourne
35.
Blumsack S (2006) Network topologies and transmission investment under electric-industry restructuring. ProQuest
36.
Karaagac U, Mahseredjian J, Gras H, Saad H, Peralta J, Bellomo LD (2017) Simulation models for wind parks with variable speed wind turbines in EMTP. Polytechnique Montréal
37.
Jiang J, Han X, Wang J, Zhu X, Ma Y (2017) Optimal power flow with transmission switching for power system with wind/photovoltaic generation. In: 2017 Chinese automation congress (CAC)
Metadaten
Titel
Optimal transmission switching based on probabilistic load flow in power system with large-scale renewable energy integration
verfasst von
Rizwan Ahmed
Aamir Nawaz
Zahid Javid
Muhammad Yousaf Ali Khan
Aamer Abbas Shah
Orlando M. Valarezo
Publikationsdatum
02.07.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Electrical Engineering / Ausgabe 2/2022
Print ISSN: 0948-7921
Elektronische ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-021-01344-z

Weitere Artikel der Ausgabe 2/2022

Electrical Engineering 2/2022 Zur Ausgabe

Original Paper

Effect of the magnet shape on the performance of coreless axial flux permanent magnet synchronous generator

Original Paper

IM to IPM design transformation using neural network and DoE approach considering the efficiency and range extension of an electric vehicle

Original Paper

Implementation of a coordinated voltage control algorithm for a microgrid via SCADA-as-a-service approach

Original Paper

Novel formulation for optimized winding and core design for improved induction machine performance

Original Paper

Comparative study of the electrical performance of superhydrophobic and hydrophilic tubular and plane insulating barriers under DC voltage

Original Paper

Fault location method on two-terminal transmission line using synchronized time information of traveling waves

Neuer Inhalt

    Bildnachweise