Abstract
This paper presents a method to regulate the power frequency at a nominal value using a battery energy storage system (BESS). A control system model is proposed to simulate the BESS for frequency control application. A controller based on model predictive control (MPC) is designed for the optimal operation of the BESS for primary frequency regulation. A frequency prediction model based on Grey theory is also designed to optimize the performance of our controller. The method is tested using real measurements from a real power grid in the presence of multiple and realistic physical system constraints. The effectiveness of the proposed frequency regulation scheme is demonstrated with a simulation example.
| Original language | English |
|---|---|
| Title of host publication | Sustainability in Energy and Buildings |
| Subtitle of host publication | Results of the Second International Conference onSustainability in Energy and Buildings (SEB'10) |
| Editors | Jain Lakhmi, Howlett Robert, Lee Shaun |
| Pages | 101-110 |
| Number of pages | 10 |
| DOIs | |
| State | Published - 2011 |
| Externally published | Yes |
Publication series
| Name | Smart Innovation, Systems and Technologies |
|---|---|
| Volume | 7 |
| ISSN (Print) | 2190-3018 |
| ISSN (Electronic) | 2190-3026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- General Decision Sciences
- General Computer Science
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