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An intelligent two‐level control of Ultrabattery for improved automatic generation control of a multi‐source deregulated power system
Author(s) -
Hajam Faizan Hassan,
Mufti Mairaj udDin
Publication year - 2021
Publication title -
international journal of energy research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.808
H-Index - 95
eISSN - 1099-114X
pISSN - 0363-907X
DOI - 10.1002/er.6376
Subject(s) - automatic generation control , control theory (sociology) , electric power system , engineering , control engineering , robustness (evolution) , pid controller , controller (irrigation) , control system , setpoint , computer science , power (physics) , control (management) , temperature control , physics , artificial intelligence , agronomy , biochemistry , chemistry , electrical engineering , quantum mechanics , biology , gene
Summary This article studies automatic generation control (AGC) problem of a realistic, multi‐source deregulated power system with thyristor controlled phase shifter (TCPS) in the tie‐line for damping the inter‐area power oscillations. In this direction, an intelligent integration of a commercially available, relatively low rating efficient energy storage system in the form of Ultrabattery for AGC enhancement is proposed. Herein, a two‐level supervisory cascade control scheme is designed. The supervisory controller comprises of a genetically tuned fuzzy logic controller which ensures the operation of Ultrabattery within its regime of operation while supervising a conventional main controller in the inner loop. The exchange of desired power between the power system and Ultrabattery is governed by the main controller whose parameters are tuned offline using optimization toolbox in MATLAB. To make the power system model realistic, effects of generation rate constraint, governor dead band, boiler dynamics, and communication time delay have been incorporated. Extensive simulation studies conducted on a well‐known benchmark two‐area power system under various market scenarios demonstrate the effectiveness of the proposed scheme. The results obtained illustrate a substantial mitigation of low magnitude oscillations with TCPS in the tie‐line. Following the introduction of an Ultrabattery rated at just 1% of the area capacity in coordination with TCPS, an improvement of at least 87% in the system performance index is achieved. Finally, a sensitivity analysis validates the robustness of the proposed scheme under varying system parameters and market scenarios.