Optimal Technique of reliability and quality Assessment of two-area interconnected power systems

• Autorzy: Alshammari Badr Mesned , Guesmi Tawfik , Eleiwa Mohammed , Abbassi Rabeh , Alghassab Mohammed

Identyfikatory

DOI

10.15199/48.2020.09.34

Warianty tytułu

PL

Optymalna technika zapewnienia niezawodności I jakości energii dwóch współpracujących obszarów z systemami energetycznymi

• Języki publikacji: EN

Abstrakty

EN

The evaluated reliability and quality measures, which are important to assess the reserve capabilities of the power system for various operating scenarios, are probabilistic in nature. To improve the reliability and quality of two area interconnected power systems must be to make sure that the ability of one area to deal with compensate the deficiency in the other area. This paper presents a novel assessment technique of twoarea interconnected power system based on the reliability and quality measures, as well as, the capacity and situation of tie line and the Load NotServed (LNS). Systems with hundreds of buses and tens of complex stations can only be analyzed using advanced and numerically effective largescale algorithms for reliability and quality assessment as demonstrated in this paper. Practical applications are additionally exhibited, for demonstration purposes, to the Saudi electricity power networks.

PL

Do poprawy niezawodności i jakości energii dwóch obszarów z siecią energetyczną trzeba być pewnym że jeden obszar może zawsze uzupełnić niedostatki drugiego. W artykule zaprezentowano technikę połączenia dwóch obszarów bazującą na pomiarach niezawodności I jakości energii oraz metodę LNS.

Słowa kluczowe

EN

power system; reliability assessment; nterconnected system; quality

PL

system energetyczny; połączenie dwóch systemów; jakość energii

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2020
• Tom: R. 96, nr 9
• Strony: 167--170
• Opis fizyczny: Bibliogr. 9 poz., rys., tab.

Twórcy

autor

Alshammari Badr Mesned

• Electrical Engineering Department, University of Hail, KSA

autor

Guesmi Tawfik

• Electrical Engineering Department, University of Hail, KSA

autor

Eleiwa Mohammed

• Electrical Engineering Department, University of Hail, KSA

autor

Abbassi Rabeh

• Electrical Engineering Department, University of Hail, KSA

autor

Alghassab Mohammed

• Electrical Engineering Department, Shaqra University , KSA

Bibliografia

• [1] Alshammari BM. Assessment of Reliability and Quality performance using impact of shortfall Generation Capacity index on Power Systems. Engineering, Technology & Applied Science Research,(2019), 9(6):4937-4941.
• [2] Ben HF, Belhachem R. Dynamic constrained economic/emission dispatch scheduling using neural network. Adv Electr and Electron Eng,(2013), 11(1):1-9.
• [3] Sharma MK, Phonrattanasak P, Leeprechanon N. Improved bees algorithm for dynamic economic dispatch considering prohibited operating zones. IEEE-Innovative Smart Grid Technologies - Asia (ISGT ASIA),(2015), 3-6.
• [4] Khan ME. Bulk Load Points Reliability Evaluation Using a Security Based Model. IEEE Transactions On Power Systems, (1998), 13(2): 456–461.
• [5] Tomasson E, oder LS. Improved importance sampling for reliability evaluation of composite power systems. IEEE Trans. Power Syst.,(2017), 32(3):2426–2434.
• [6] Yerzhigit B, Maxime M, Mehdi B. Estimation of Operating Reserve Capacity in Interconnected Systems with Variable Renewable Energy Using Probabilistic Approach. 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
• [7] Geng L, Zhao Y, Chen G. Simplified sequential simulation of bulk power system reliability via chronological probability model of load supplying capability. IEEE Trans. Power Syst., (2018), 33(3):2349–2358.
• [8] Alshammari BM, El-Kady MA, Al-Turki YA. Power System Performance Quality Indices. European Transactions on Electrical Power, (2011), 21(5):1704–1710.
• [9] Wang X, McDonald JR. Modern power system planning. Published (1994), by McGraw-Hill in London, New York.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).