Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly A
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Renewable Energy-Based Load Frequency Stabilization of Interconnected Power Systems Using Quasi-Oppositional Dragonfly Algorithm B. Vedik1 · Ritesh Kumar1 · Ram Deshmukh1 · Sumit Verma2 · Chandan Kumar Shiva1 Received: 20 April 2020 / Revised: 26 July 2020 / Accepted: 7 September 2020 © Brazilian Society for Automatics--SBA 2020
Abstract It is already established that the renewable integration effects to the power system are nonzero and become more important with large penetrations. Thereby, the impacts of renewable energy sources (RESs) after integration are studied in this work to stabilize grid frequency of the studied test power system model. Initially, the two-area power system model is studied as the test system. The purpose is to show the tuning efficiency of non-conventional quasi-oppositional dragonfly algorithm (QODA) algorithm as compared to conventional way of tuning technique. It is showed that QODA algorithm is quite effective to find the optimal parameters of proportional–integral–derivative (PID) controller in load frequency control performance. Further, the three-area power system model integrated with RESs is studied. The work done here is to study the impacts of wind turbine generation, solar thermal power generation and solar photovoltaic on system frequency oscillations. The PID controller is employed as the supplementary control task, and its parameters are tuned by QODA algorithm. The integral of time absolute error is chosen as the objective function, and further performance indices are determined at the end of the execution of the program to examine the performance of the designed QODA-based PID controller. Following the integration of RESs, the impacts on frequency deviation through simulation results are also presented. The simulation results showed that the RESs are quite effective in regulating the power system frequency deviation understudied. Keywords Grid frequency oscillations · Interconnected power system · Optimization · Solar photovoltaic · Solar thermal power generation · Wind turbine generation
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Chandan Kumar Shiva [email protected] B. Vedik [email protected] Ritesh Kumar [email protected] Ram Deshmukh [email protected] Sumit Verma [email protected]
1
Department of Electrical and Electronics Engineering, S R Engineering College, Ananthsagar, Hasanparthy, Warangal, Telangana, India
2
Department of Industrial and Management Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh, India
a12 B D f sys H i Kr Kp Rth , Rh Ti j Tg Tr
Rated area capacity Frequency bias constant (p.u.MW/Hz) System damping of area (p.u.MW/Hz) Nominal system frequency (Hz) Inertia constant (s) Subscript referred to the i-th area (i 1, 2, 3) Steam turbine reheat constant Power system gain constant Governor speed regulation parameter of thermal unit and hydro unit Synchronizing coefficient between areas i and j (p.u.) Steam governor time constant Steam turbine reheat time constant (s)
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Journal of Control, Automation and Electrical Syst
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