Automatic Frequency Control for Interlinked DSTS Power Grid Using Dragonfly algorithm tuned PID Controller

• Main Authors: D, Boopathi, K, Jagatheesan, R, Satheeshkumar, Samanta, Sourav, B, Anand, J, Jaya
• Format: Conference Proceeding
• Language: English
• Subjects: Ant colony optimization technique; Automatic frequency control; Fluctuations; Genetic algorithms; Load frequency control; Loading; Oscillators; PID controller; Power quality; secondary controller; system stability; Uncertainty
• ISSN: 2325-9418
• DOI: 10.1109/INDICON59947.2023.10440739

This article discussed the automatic frequency fluctuation control in an interlinked power network. Power quality issue arises at the time uncertainty in the loading. The power network is framed by two unequal power sources for investigation. By the complexity of the network the maintain the power quality is too much risk. Area one consists of a dish Stirling thermal system (DSTS). Area two has a thermal power plant alone. For automatic frequency stability control, the Load frequency control (LFC) scheme is presented with a secondary controller. In this study proportional integral derivative (PID) controller is recommended. The parameters of PID are optimized by the Dragonfly algorithm (DA) using Integral Time Absolute Error (ITAE) cost function. The DA technique supremacy is proved by comparing the results of the Ant colony optimization (ACO), Differential evolution (DE), Genetic algorithm (GA), and Particle swarm optimization (PSO) technique with DA. The DA - PID controller response is better than the GA, ACO, DE, and PSO techniques. The control response proved the quick oscillation control at 16s, also very minimal peak values.