Frequency Stability Analysis of Multi-Renewable Source System with Cascaded PDN-FOPI Controller

Aurobindo Behera, Subhranshu Sekhar Pati, Umamani Subudhi, Subhankar Ghatak, Tapas Kumar Panigrahi, Mohammed H. Alsharif () and Syed Mohsan
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Aurobindo Behera: Department of Computer Science and Engineering, SRM University Amaravati, Vijayawada 522502, India
Subhranshu Sekhar Pati: Department of Electrical Engineering, IIIT Bhubaneswar, Bhubaneaswar 751003, India
Umamani Subudhi: Department of Electrical Engineering, IIIT Bhubaneswar, Bhubaneaswar 751003, India
Subhankar Ghatak: Department of Computer Science and Engineering, SRM University Amaravati, Vijayawada 522502, India
Tapas Kumar Panigrahi: Department of Electrical Engineering, PMEC Berhampur, Berhampur 761003, India
Mohammed H. Alsharif: Department of Electrical Engineering, College of Electronics and Information Engineering, Sejong University, Seoul 05006, Korea
Syed Mohsan: Ocean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, China

Sustainability, 2022, vol. 14, issue 20, 1-37

Abstract: The present work describes a multi-area (two and three) renewable-energy-source-integrated thermal-hydro-wind power generation structure along with fleets of plug-in electrical vehicles (PEVs) in each control area. The generation–load balance is the prime objective, so automatic generation control (AGC) is adopted in the system. In the paper, a cascaded combination of proportional derivative with filter PDN and fractional-order proportional integral (FOPI) is proposed and tuned using the hybrid chemical reaction optimization with pattern search (hCRO-PS) algorithm. The hCRO-PS algorithm is designed successfully, and its effectiveness is checked through its application to various benchmark functions. Further, Eigen value analysis is carried out for the test system to verify the system stability. The impacts of diverse step load perturbation (i.e., case I, II, III, and IV) and time-varying load perturbation are also included in the study. Moreover, the impact of renewable sources, PEVs in different areas, and varied state of charge (SOC) levels on the system dynamics are reflected in the work. From the analysis, it can be inferred that the proposed controller provides comparable results with other fractional-order and conventional controllers under varying loading conditions.

Keywords: automatic generation control; cascaded controller; hybrid chemical reaction optimization and pattern search algorithm; plug-in electric vehicle; renewable sources (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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