Guest Editorial: State Estimation for Future Cyber-physical Power and Energy Systems: Challenges and Solutions

• Main Authors: Antonio Gomez-Exposito, Lamine Mili, Wenchuan Wu
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: Journal of Modern Power Systems and Clean Energy
• Online Access: https://ieeexplore.ieee.org/document/9146000/

Large-scale renewable power plants and distributed generators are integrated in the electric power systems on the generation side, meanwhile new demand-response technologies are being deployed on the demand side, such as electric vehicles and energy storage, controllable building energy and integrated energy system of industry park. Thereby the system dynamic characteristics become more complicated. To address this issue, advanced sensing, monitoring, communication, computation and control technologies are widely adopted. The power systems are evolving to tightly coupled cyber-physical power and energy systems, where the two-way flows of both electricity and information spread. As a result, there is an urgent need for the development of new state estimation algorithms for the modeling, situational awareness, operation and control of the integrated cyber-physical energy system. This special section focuses on some of the new techniques to solve the current challenges and solutions for future cyber-physical power and energy system state estimation. Eleven articles included in the special section are summarized as follows: In the paper entitled “Multi-period Power System State Estimation with PMUs under GPS Spoofing Attacks”, the authors present a dynamic and robust network state model to provide state estimation solution under global positioning system (GPS) spoofing attacks of phasor measurement units (PMUs). The paper develops an efficient algorithm with closed-form updates to collectively estimate the network state and time-varying attacks. The improved performance of the proposed algorithm is validated with simulations compared with static method.