Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 11, Issue 1, Pages 258-269Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2019.2920991
Keywords
Aggregates; Substations; Optimization; HVAC; Load modeling; Mathematical model; Energy resources; Power aggregation; distributed energy resources; unbalanced optimal power flow; power flexibility; distributed optimization
Categories
Funding
- NSF [1839632]
- NSF CAREER [1553407]
- Advanced Research Projects Agency - Energy through the NODES Program
- Harvard Climate Change Solution Funds
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1839632] Funding Source: National Science Foundation
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With a large-scale integration of distributed energy resources (DERs), distribution systems are expected to be capable of providing capacity support for the transmission grid. To effectively harness the collective flexibility from massive DER devices, this paper studies distribution-level power aggregation strategies for transmission-distribution interaction. In particular, this paper proposes a method to model and quantify the aggregate power flexibility, i.e., the net power injection achievable at the substation, in unbalanced distribution systems over time. Incorporating the network constraints and multi-phase unbalanced modeling, the proposed method obtains an effective approximate feasible region of the net power injection. For any aggregate power trajectory within this region, it is proved that there exists a feasible disaggregation solution. In addition, a distributed model predictive control (MPC) framework is developed for practical implementation of the transmission-distribution interaction. At last, we demonstrate the performances of the proposed method via numerical tests on a real-world distribution feeder with 126 multi-phase nodes.
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