Open AccessSystem dynamics and control of EV incorporated deregulated power system using MBO‐optimized cascaded ID‐PD controller
Author(s) -
Farooq Zahid,
Rahman Asadur,
Lone Shameem Ahmad
Publication year - 2021
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/2050-7038.13100
Subject(s) - control theory (sociology) , robustness (evolution) , electric power system , controller (irrigation) , system dynamics , computer science , control engineering , renewable energy , power (physics) , engineering , control (management) , biochemistry , chemistry , gene , physics , electrical engineering , quantum mechanics , artificial intelligence , biology , agronomy
Summary A two‐area hybrid deregulated power system is proposed with a multi‐source combination of generating units with reference to the modern power and energy scenario. The proposed system is incorporated with solar‐thermal, conventional‐thermal, wind, and electric vehicle (EV) and is provided with appropriate system nonlinearities for a realistic approach. In addition to renewables, the inclusion of EVs helps to reduce CO 2 emissions and dependence on fossil fuels, resulting in a cleaner environment. Such a class system requires a robust controller. In this regard, the transient and steady‐state dynamics with respect to various classical and cascaded secondary controllers have been evaluated. The response comparison among different secondary controllers reports the cascaded ID‐PD controller as the optimal one. Magnetotactic bacteria optimization (MBO) technique is used for parallely optimizing the secondary controller gains. A new study is explored to inspect the impact of EVs in regulating the system stability for the proposed system. The analysis confirms the inclusion of EVs in both the control area for better system dynamics. Sensitivity analysis is done to reflect the robustness of MBO‐optimized cascaded ID‐PD controller gains. It shows that optimized gains do not need to be rearranged for variations in system parameters. A separate study is carried out for any alterations in DISCO participation matrix (DPM), which is inevitable in a practical deregulated power system. It is found that the optimal controller gains attained at nominal DPM are also resilient to changes in DPM.