Keywords
demand response; information gap decision theory; Stackelberg game; robust optimization; economic dispatch
Abstract
In view of the minimum electricity cost for users in the demand response of off-grid microgrids, an economic dispatch optimization method for the demand response of off-grid microgrids based on the IGDT-Stackelberg game is proposed. Firstly, the information gap decision theory is used to solve the uncertainty interval of renewable energy generation power. Secondly, the renewable energy output expectation is calculated based on the acceptance of strategy risk on the generation side. Finally, the Stackelberg game model is used to manage the iterative interactions of the two-side strategies to determine the optimal output allocation of the generating units on the supply side, so as to reduce the cost of generation. The experimental results show that the proposed method can significantly reduce the peak-to-valley ratio of daily loads on the demand side and minimize the electricity consumption cost for users compared with the existing methods while circumventing the risk of photovoltaic (PV) unit output prediction bias.
DOI
10.19781/j.issn.1673-9140.2024.06.023
First Page
222
Last Page
231
Recommended Citation
PAN, Tingzhe; JIN, Xin; TAN, Zhukui; WANG, Zongyi; LIU, Bin; and CAO, Wangzhang
(2025)
"An economic dispatch optimization approach for demand response in off‑grid microgrid based on IGDT‑Stackelberg game,"
Journal of Electric Power Science and Technology: Vol. 39:
Iss.
6, Article 23.
DOI: 10.19781/j.issn.1673-9140.2024.06.023
Available at:
https://jepst.researchcommons.org/journal/vol39/iss6/23