Abstract
Distribution networks are changing from passive absorbers of electric energy to active distribution networks (ADNs) capable of operating and participating in electricity markets. In the context of residential microgrids, aggregated home heating, ventilation and air-conditioning (HVAC) loads present a key opportunity to drive operational and economic objectives, facilitate high renewable energy penetration, and enhance both system resiliency and flexibility. A robust, hierarchical dispatch scheme is developed and presented in this paper, which connects an upper level multi-phase distribution optimal power flow (DOPF) to a lower level model predictive control (MPC)-based HVAC fleet controller. The approach is tested and verified on a modified IEEE 13 bus system in an intraday market application. The results demonstrate that the proposed hierarchical dispatch scheme is able to drive both economic and operational objectives for the ADN operator.
Original language | English |
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Title of host publication | 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781728155081 |
DOIs | |
State | Published - Aug 2 2020 |
Event | 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 - Montreal, Canada Duration: Aug 2 2020 → Aug 6 2020 |
Publication series
Name | IEEE Power and Energy Society General Meeting |
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Volume | 2020-August |
ISSN (Print) | 1944-9925 |
ISSN (Electronic) | 1944-9933 |
Conference
Conference | 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 |
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Country/Territory | Canada |
City | Montreal |
Period | 08/2/20 → 08/6/20 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy.
Keywords
- Active distribution networks
- Demand response.
- Distribution optimal power flow
- Model predictive control