Frequency Stability Analysis of Power System Using Competition Over Resources Technique Optimized PIDA Controller

• Published in: Iranian journal of science and technology. Transactions of electrical engineering 2022-03, Vol.46 (1), p.57-75
• Main Authors: Patel, Sunita, Mohanty, Banaja, Simhadri, Kumar Swamy
• Format: Article
• Language: English
• Subjects: Algorithms; Alternative energy sources; Automatic control; Competition; Controllers; Electrical Engineering; Energy resources; Energy sources; Energy storage; Engineering; Frequency analysis; Frequency stability; Gravity; Heuristic methods; Machine learning; Optimization; Parameter sensitivity; Pattern search; Perturbation; Photovoltaic cells; Photovoltaics; Proportional integral derivative; Renewable energy sources; Renewable resources; Research Paper; Robust control; Search algorithms; Sensitivity analysis; Stability analysis
• ISSN: 2228-6179; 2364-1827
• DOI: 10.1007/s40998-021-00460-7

Nowadays renewable energy sources and energy storage devices are implemented in modern power systems in abandon. The impact of renewable energy sources and energy storage devices on conventional power systems due to small load perturbation is studied in this paper. Photovoltaic (PV) unit and super-capacitor (SC) are added to the automatic generation control (AGC) system for analysis. AGC plays a vital role in providing good quality power. For this reason, it is required to have a highly efficient, intelligent and robust controller. Hence, a new proportional–integral–derivative–accelarated (PIDA) controller is proposed for the AGC system. The optimal controller parameters are tuned by using a new competition over resources (COR) algorithm. Two-area non-reheat thermal system and multi-source systems are considered to analyze the performance of COR optimized PID controller and compared with recently optimization algorithm like hybrid gravitational search algorithm and pattern search (hGSA-PS) technique, differential search algorithm (DSA), firefly algorithm (FA), teaching learning-based optimization (TLBO) and moth flame optimization (MFO) for the same interconnected system. Furthermore, PIDA controller is implemented in the system, and to justify the controller, system performances are compared with tilt–integral–derivative with filter (TIDF), two-degree-of-freedom PID (2DOFPID), dual-mode controller (DMC) and PIDF controller for the same system. To test the superiority of the proposed COR optimized PIDA controller, sensitivity analysis is performed with system parameter variation.