Adaptive control strategy for improved dynamic performance of two islanded inter-connected micro-grids. (March 2021)

• Record Type: Journal Article
• Authors: Keshta, H.E.; Ali, A.A.; Malik, O.P.; Saied, E.M.; Bendary, F.M.
• Is Part Of: International journal of electrical power & energy systems. Volume 126(2021)Part A
• Publication Date: 2021-03
• Subjects: Micro-grid Control -- Distributed energy resources -- Recursive least squares identification -- Meta-heuristic techniques -- PI controller -- Pole shifting control; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2020.106562
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Dynamic performance of two islanded inter-connected micro-grids. An adaptive self-tuning controller based on pole shifting control strategy. Maintain system balance during real-time operation in an economic manner. Abstract: Micro-grids with proper control should be able to maintain stability and achieve the best response when subjected to different disturbances. Traditionally, power electronic converters used in micro-grids are controlled using linear fixed parameter controllers such as, conventional PI controller and droop controller, which are unable to mitigate such disturbances efficiently over a wide range of operating conditions. An adaptive self-tuning controller that can adapt in real-time as operating conditions change is investigated in this paper. An adaptive self-tuning controller based on recursive least squares identification and pole-shifting control is designed and implemented on the dispatchable sources connected boost converter in two connected micro-grids. Its performance is compared with the fixed parameter PI controller. Parameters of the PI controller and gains of the self-tuning adaptive controller are optimized using an advanced optimization technique called global Porcellio Scaber algorithm. Effectiveness of the proposed controller is investigated on a two inter-connected micro-grids system isolated from the grid under various scenarios such as load variations and weather conditions fluctuations. Simulation results verify that the system response based on the proposed pole-shift controller is better than the classical PI controller under various operating conditions.