Improvement Congestion Management in Deregulated Power System Considering Voltage Stability and Loss Minimization
Autor: | EL Saeed Osman, Mohamed Ebrahim El sayed, Asmaa sobhy sabik |
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Přispěvatelé: | Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP) |
Rok vydání: | 2020 |
Předmět: |
E9467069520/2020©BEIESP
Voltage stability Electric power system Congestion management (CM) Optimal power flow (OPF) FACTS Devices Continuation power flow (CPF) Environmental Engineering Computer science Control theory General Engineering Loss minimization Congestion management 2249-8958 Computer Science Applications |
Zdroj: | International Journal of Engineering and Advanced Technology. 9:263-269 |
ISSN: | 2249-8958 |
DOI: | 10.35940/ijeat.e9467.069520 |
Popis: | First of the practical defiance's in unsystematized electrical networks is Congestion management. Two manners of percussions used in Congestion management are frill manners and cost free manners. In this paper work congestion is released by using cost free manners seeing (Flexible AC Transmission Systems) FACTS controller like SVC (Static Var compensator), STATCOM, TCSC (Thyristor controlled series Compensator), and SSSC (Static Synchronous Series Compensators) devices. Manifold-objective functions are presumed for congestion management. Small signal stability, voltage profile, and Real power loss reduction are considered objective functions in this paper. The optimal placement of FACTS controller are institute by using sensitivity founded Eigen value analysis and Continuation Power Flow (CPF). The suggested algorithm has used to define optimal placement of FACTS controller and deciphering optimal power flow (OPF) to advance voltage profile and minimize the real power losses within real and reactive power generation margin. The recital analysis has been implemented for IEEE 39 bus test system using MATLAB/PSAT (toolbox) software. Results display the suggested technique has a competency to advance the “Voltage profile, small signal stability, Loss minimization”. |
Databáze: | OpenAIRE |
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