Abstract
An energy management strategy of smart buildings for improving wind power accommodation ability is proposed. Firstly, based on the thermal inertia of buildings, the energy consumption prediction model considering the different heating zones in the building is constructed. Secondly, based on the branch flow model and the second-order conic relaxation, a unified mathematical model of the active distribution network (ADN) with integrated smart buildings is further constructed. Then, based on the model predictive control method, under the premise of ensuring the comfort temperature for the residents, the energy management of the ADN is achieved. Finally, based on the winter heating scenario, various control schemes for the HVAC systems are used to analyze and verify the participation of smart buildings in the ADN optimal scheduling. Numerical studies demonstrate that, compared with the model and method without considering the integration of ADN and smart buildings, the proposed method, based on the unified model of ADN with integrated smart buildings, can fully utilize the flexibility of operational modes of the HVAC systems and the residents' comfortable temperature range. While ensuring the comfort temperature for the residents, the wind power accommodation ability of the power grid is further improved, and the economic and secure operation of the ADN is guaranteed.
Translated title of the contribution | Energy Management Strategy of Smart Buildings for Improving Wind Power Accommodation Ability |
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Original language | Chinese (Simplified) |
Journal | Dianwang Jishu |
Volume | 45 |
Issue number | 6 |
Pages (from-to) | 2288-2298 |
ISSN | 1000-3673 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Active distribution network
- Heating, ventilation and air conditioning system
- Model predictive control
- Second-order cone relaxation
- Smart building