Effect of electric vehicles on load frequency control in interconnected thermal and hydrothermal power systems utilising CF-FOIDF controller

被引:122
作者
Arya, Yogendra [1 ]
机构
[1] Maharaja Surajmal Inst Technol, Dept Elect & Elect Engn, New Delhi, India
关键词
electric vehicles; hydrothermal power systems; power system control; three-term control; robust control; frequency control; control system synthesis; load regulation; power generation control; cascade control; thermal power stations; fuzzy control; power system interconnection; optimal control; load frequency control; interconnected thermal power systems; CF-FOIDF controller; modern-complex-uncertain power systems; robust controllers; robust behaviour; changed operating condition; two-loops cascade fuzzy structured controllers; significant robust performance; filter controller; hydrothermal PSs; physical constraints; energy storage system; power plants; system frequency; load demands; control areas; robustness; control strategy; fuzzy-fractional order integral derivative with filter controller; EV fleets; AUTOMATIC-GENERATION CONTROL; FUZZY PID CONTROLLER; INTEGRAL DERIVATIVE CONTROLLER; CONTROL STRATEGY; ALGORITHM; SEARCH; DESIGN; AGC; OPTIMIZATION; FILTER;
D O I
10.1049/iet-gtd.2019.1217
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Load frequency control in modern-complex-uncertain power systems (PSs) assumes significance due to their challenging nature of the operation and hence utilisation of robust controllers is indispensable. In the industry, conventional single-loop controllers may not offer robust behaviour under changed operating conditions. Alternatively, two-loop cascade fuzzy structured controllers can show significant robust performance in dynamic conditions and best suited in systems having non-linearities. Hence, a novel optimal cascade fuzzy-fractional order integral derivative with filter (CF-FOIDF) controller is utilised for 2-area thermal and hydrothermal PSs considering various physical constraints from a practical point of view. As physical constraints mandate an energy storage system, hence in this study, batteries of electric vehicles (EVs) are employed to assist power plants to swiftly arrest oscillations in the system frequency following load demands. A combined model of EV fleets is incorporated in the control areas of PSs. Numerous simulations are conducted to authenticate the robustness and excellence of EVs and the suggested control strategy over existing methods.
引用
收藏
页码:2666 / 2675
页数:10
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