Open AccessAn Optimization Strategy for Intra-day Demand Response Based on Security Constraints
Author(s) -
Ziru Sun,
Minyu Chen,
Qian Ai,
Long Zhao,
Xiaoming Liu,
Donglei Sun
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012211
Subject(s) - demand response , computer science , scheduling (production processes) , renewable energy , electric power system , operations research , energy storage , load management , reliability engineering , risk analysis (engineering) , mathematical optimization , environmental economics , power (physics) , operations management , engineering , business , economics , electrical engineering , electricity , physics , mathematics , quantum mechanics
Demand response(DR) has become an effective means to deal with renewable energy integration and load fluctuations in the power system. This article first analyzes the classification and characteristics of controllable resources used in DR. Secondly, taking into consideration the transferable load, interruptible load and the energy storage system in DR, an intra-day scheduling model is then established based on safety constraints. Finally, a case is studied to analyze the role of DR in improving system safety and reducing operating costs. Results show the effectiveness of this model.