Finished Project

Project 14
프로필 이미지
조회 84

1. Development and demonstration of an optimal integration and management technology for ESS to enhance grid stability considering renewable fraction and grid characteristics [신재생 비율 및 그리드 특성에 따른 그리드 안정화 기술용 ESS 최적 연계 기술개발 및 실증]

지원: 한국에너지기술평가원

기간: 2017.5 ~ 2020.4 (3 years)

참여기관: 한국전자통신연구원, Power21, 대은, 한국에너지공단, 아주대학교

The fluctuation of renewable energy generation is one of the problem to maintain the grid stable and reliable. Combining REG with ESS is able to mitigate this intermittency. It is necessary to determine the optimal location and size of ESS before installing. In this project, we are going to develop the Reliability and Flexibility index to represent the status of the grid. The developed tool will determine the location and size of ESS by using these indices. Furthermore, the optimal ESS operation will be also developed to improve the reliability and flexibility index. Our team will develop the following algorithm in this project

  • Develop the Reliability/Flexibility index
  • Develop the PV generation and load forecasting
  • Develop the optimal ESS scheduling algorithm
  • Revise current energy policy to utilize the ESS for grid stability

프로필 이미지
조회 148

1. Development of ESS Scheduling Algorithm and verification

지원 : 한전KDN 주식회사

기간 : 2018. 04 ~ 2019. 01 (10 month)

참여기관 : 아주대학교

Nowadays, ESS is used to solve instability of power system operation because ESS has fast response characteristics to dynamic variation of power system and it is easy to install depending on capacity. Before operating ESS, ESS operating algorithm is required for efficient utilization of ESS. Therefore, in this project, we will develop algorithms for arbitrage, peak shaving, frequency regulation, and capacity firming among various ESS operation algorithms. To improve the performance of the developed algorithms, we will develop SMP forecasting, PV generation forecasting, and economic analysis algorithms. In addition, the algorithms are verified based on power system model using Matlab Simulink.

  • Develop the ESS control algorithm [Arbitrage, Peak-shaving, G/F, Capacitor firming]

  • Develop the advanced ESS control algorithm [SMP forecasting, PV generation forecasting, Economic analysis]

  • Verification of ESS control algorithm [Construct the simulation system and Develop the control logic in MATLAB Simulink ]

프로필 이미지
조회 106

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

프로필 이미지
조회 118

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.