DSpace Collection:http://localhost:8080/xmlui/handle/123456789/34652026-06-23T06:32:30Z2026-06-23T06:32:30ZReal Time Simulation for Load Frequency Control of Multisource Microgrid System Using Grey Wolf Optimization Based Modifed Bias Coefcient Diagram Method (GWO‑MBCDM) ControllerKumar, BadalAdhikari, ShumaDatta, SubirSinha, Nidulhttp://localhost:8080/xmlui/handle/123456789/34662022-10-03T05:14:14Z2020-10-21T00:00:00ZTitle: Real Time Simulation for Load Frequency Control of Multisource Microgrid System Using Grey Wolf Optimization Based Modifed Bias Coefcient Diagram Method (GWO‑MBCDM) Controller
Authors: Kumar, Badal; Adhikari, Shuma; Datta, Subir; Sinha, Nidul
Abstract: This paper proposes a modifed bias (MB) and coefcient diagram method (CDM) based PID controller as a frst attempt in
controlling frequency of a self-reliant microgrid (MG) system under extreme unfavourable scenarios. Recently developed
meta-heuristic algorithm, Grey Wolf Optimizer (GWO), is used for optimizing the parameters of the proposed controller
GWO). Frequency deviation arises in the system due to active power mismatch between load power demand and actual
power generation. In order to overcome this problem the CDM based gain values and frequency biased parameters of the
MG system are used for determining the ranges of the control parameters for optimization with GWO which ensures that
the search points generated by the search algorithm are stable ones. Simulation of the proposed GWO optimized MB-CDM
controller-based MG system has been successfully implemented in real time simulation platform using digital simulator
OPAL-RT. The performance of the system is obtained using proposed controller under diferent real-life scenarios and results
are minutely analysed. The results are further compared with other relevant recent controllers including particle swarm
optimization (PSO) MB-CDM controller to demonstrate that the proposed controller is superior to all other controllers.
In addition, sensitivity analysis of the proposed controller for the MG system is studied under varying system parameters.
The Simulink results illustrate that the proposed controller gives the best dynamic response amongst all other considered
controllers in terms of peak transient deviation and settling time2020-10-21T00:00:00Z