Considering the scenario where an end-user equipped with battery energy storage and solar photovoltaic panels participates in demand response program, this study intends to develop a proper control policy for energy storage operations to minimize end-user’s electricity cost in response to time-varying power demand, intermittent renewable generation, and time-of-use electricity prices. Specifically, this study proposes a threshold-based control policy by determining static time-varying thresholds on the state of charge level using two-stage stochastic programming based on historical data. The proposed threshold-based control policy can be applied to energy storage operations by adjusting charging and discharging energy storage to ensure the threshold has the minimum state of charge level of energy storage. The numerical experiments are conducted to evaluate the performance of the proposed threshold-based control policy with real historical data and practical parameter settings. As a conclusion, the future research plan is suggested to improve the threshold-based control policy.
|Title of host publication||IISE Annual Conference and Expo 2019|
|Publisher||Institute of Industrial and Systems Engineers, IISE|
|Publication status||Published - 2019|
|Event||2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 - Orlando, United States|
Duration: 2019 May 18 → 2019 May 21
|Name||IISE Annual Conference and Expo 2019|
|Conference||2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019|
|Period||19/5/18 → 19/5/21|
Bibliographical notePublisher Copyright:
© 2019 IISE Annual Conference and Expo 2019. All rights reserved.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Industrial and Manufacturing Engineering