1. Development Disaster Damage Prediction and Response Algorithm

지원 : 한국전력공사 전력연구원

기간 : 2017. 06 ~ 2018. 03 (10 month)

참여기관 : Power21, 아주대학교, 이지스

Damage to electric power systems caused by natural disasters is increasing. In the event of a disaster, construct a quick response system by using the prediction of correlation between the disaster data and the power plant failure data. And it is aimed to supply reliable and steady power by minimizing the power outage interval of the consumer. We develop a prediction model and algorithm for disaster damage forecasting in case of a disaster.

• Analysis of correlation between disaster observation data and power facilities and selection of input data
• Development disaster damage prediction model and algorithm
• Development of disaster response scenario
• Development of recovery analytical technology for analyze damage by stage and type of disaster

1. ESS Aggregator System

지원: 한국에너지기술평가원

기간: 2016.07 ~ 2019.06 (3 year)

참여기관: Power21, 아주대학교, 전자부품연구원, 한국에너지공단

- Develop the Aggregator EMS algorithm

The algorithm will calculate the input data by load forecasting, renewable generation forecasting, Energy Storage System (ESS) status estimation. Then, it determine the optimal ESS operating schedule and also define the availabe ESS energy to participate in the energy trade market. The algorithm will be the coordinated control if ESS is installed with renewable energy generation. It also needs to consider the severe weather event to prepare the power system failure.

- Develop the DMS algorithm to cummunicate with Aggregator

The ESS needs to verify their participation in the energy trade market if they don't affect the power system operation negatively. For this purpose, the Distribution Management System (DMS) needs to communicate with Aggregator EMS. Furthermore, DMS is also able to ask aggregator EMS to supply the ESS power for power system operation.