분산에너지 환경에서 가상발전소(VPP) 적용을 위한 풍력발전 터빈 이상탐지시스템(ADS) 개발 연구

Conventional power system has been under a centrally and vertically integrated structure for a long time, and it is now changing into a decentralized and horizontal one. In this transition process, virtual power plant (VPP) is expected to do a key role. VPP is defined as a technology and business platform to integrate many different kinds of distributed energy resources (DER) and operate them in an organized and controllable way like conventional power plants. In the business perspective, it could be considered a sharing economy platform of the energy industry in which the platform aggregates individual energy prosumers holding DERs such as energy storage systems (ESS), distributed power plants, flexible demand resources, etc.. VPP makes the resources operate in a coordinated energy service to the power system based on collecting data from all those DERs and decision-making based on the collected data and AI energy management algorithm. The critical part of in this process is to secure data integrity collected from dispersed DERs through various communication channels. If the data measurement is corrupted by either random errors or malicious 3-rd party attacks, the decision-making process could not provide the optimal operation and maintenance functions however the algorithm is well designed and sophisticated. In this context, this study proposes a conceptual design and an development example of anomaly detection system (ADS) based on cyber-physical system (CPS) framework.