@inproceedings{1bc26eb43df24054b91271b987ea5643,
title = "Optimal Scheduling for Park-based Load Aggregator with Multiple Demand Response Loads",
abstract = "The growth of load demand and the rapid development of renewable energy sources have brought insufficient supply and renewable consumption problems to the power grid. Demand response loads bring an effective way to solve these problems. Through the market mechanisms, such loads are guided to change their electricity consumption behavior to reduce the peak pressure of electricity consumption and consume renewable energy. In this paper, various types of loads in the park are assembled into load aggregators, which jointly participate in load-side demand response. A demand response optimization dispatching model with tariff and subsidy incentives is established to maximize revenue. The changes in various loads, energy storage, and new energy consumption before and after participation in demand response are compared, and the effectiveness of the model is verified by simulation.",
keywords = "Demand response, curtailable load, load aggregator, shiftable load, transferable load",
author = "Lutian Tang and Chao Zhu and Chen Quan and Jiawen Bai and Shuai Li and Tao Ding",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2022 ; Conference date: 08-07-2022 Through 11-07-2022",
year = "2022",
doi = "10.1109/ICPSAsia55496.2022.9949895",
language = "英语",
series = "I and CPS Asia 2022 - 2022 IEEE IAS Industrial and Commercial Power System Asia",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1116--1120",
booktitle = "I and CPS Asia 2022 - 2022 IEEE IAS Industrial and Commercial Power System Asia",
}