In this paper a novel approach to load frequency control of a microgrid with integrated Solar PV and Solar thermal generator is presented. A nonlinear adaptive controller based on an autoregressive moving average algorithm (NARMA) is used to control the frequency of the system. The objective of such a controller is to regulate and minimize frequency deviation due load changes. Further, a novel metaheuristic approach called Modified Whale Optimization Algorithm (MWOA) is used for creating an optimal PID controller to be used for frequency control. Finally, a comparative study between the proposed NARMA-L2 controller, WOA tuned PID controller and conventional PID controller is presented. From a series of experiments, it is concluded that the proposed NARMA-L2 controller outperforms other techniques of frequency control and gives the best result in terms of overshoot and settling time.
Decentralised L1 Adaptive Primary Controllers and Distributed Consensus-Based Secondary Control for DC Microgrids with Constant-Power Loads
University College Cork（科克大学）；United Technologies Research Centre Ireland Ltd（联合技术研究中心爱尔兰有限公司）；MaREI-SFI Research Centre, University College Cork（马雷i-sfi研究中心，科克大学）
Distributed Load Shedding for Microgrid with Compensation Support via Wireless Network
Shanghai Jiao Tong University（上海交通大学）；Collaborative Innovation Center for Advanced Ship and Deep-Sea Exploration（先进船舶与深海探测协同创新中心）；Key Laboratory of System Control and Information Processing, Ministry of Education of China（教育部系统控制与信息处理重点实验室）
Real-Time Minimum-Energy Operating-Point Tracking for Battery-Powered Micro DC Motors Under Dynamically Variable Loading
Zhejiang University（浙江大学）；Nanyang Technological University（南洋理工大学）；Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences（中国科学院深圳先进技术研究院）
