需求响应
新闻聚合器
范围(计算机科学)
计算机科学
运筹学
可再生能源
电力市场
电
电力系统
工业工程
工程类
功率(物理)
电气工程
操作系统
物理
量子力学
程序设计语言
作者
Bala Sai Kiran Patnam,Naran M. Pindoriya
标识
DOI:10.1016/j.epsr.2020.106923
摘要
This article presents an overview of mathematical modeling and optimization of demand response (DR) algorithms reported in the literature. The DR can be implemented at various levels in the power system. In view of this, DR related literature is classified into a single home, aggregated home, network level, and market-level demand response. The mathematical formulation and the issues associated with each level are discussed. It provides detailed information on modeling, implementation, uncertainty handling in DR. Moreover, the integration of the battery energy storage system (BESS), electric vehicle (EV), and renewable energy sources are provided in the DR perspective. Also, the research gaps and future research directions in the field of DR are discussed at the end.
科研通智能强力驱动
Strongly Powered by AbleSci AI