제조업별 전력소비 패턴 분석을 통한 수요자원의 감축 안정성에 관한 연구

Abstract

The recent transition towards an electricity grid based on renewable energy and distributed energy resources (DER) induces fluctuation and uncertainty to the existing grid. Demand Response (DR), along with Energy Storage System (ESS) is a highly anticipated solution to this matter, by improving the reliability of the power system and lowering peak demand. Currently, a new DR participant is required to have a Relative Root Mean Squared Error (RRMSE) value below 30%. However, this value just provides a benchmark for entering DR and does not represent any realistic reliability to reduce peak load during a DR event. In this paper, we analysed the RRMSE, Customer Baseline Load (CBL) variability, and CBL patterns of 199 DR participants from 12 different manufacturing sub-sectors. Our analysis revealed that each manufacturing sub-sector has distinguishable RRMSE and CBL characteristics. We also identified 4 different CBL patterns where a certain type participant, although it satisfies the RRMSE requirement, may not be reliable during the DR event, and vice versa. It is suggested that multiple factors such as manufacturing sub-sector, CBL variability and CBL pattern should also be considered when verifying a new DR participant.