In the case of renewable energy, power generation is affected by factors such as the external climate environment. In order to efficiently storage and use of renewable energy, Battery Energy Storage Systems (BESS) are being used. However, BESS faced issues such as fire accident and stability due to lack of optimization operating system. In this paper, we propose a predict system of solar power generation using the ANN(Artificial Neural Network) and an BESS operation scheduling algorithm for BESS optimization. In this paper, we verified the proposed algorithm for real-time output compensation service and BESS operation stability, and we expect to address the safety issues of BESS.
This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20183010141100)
