Aggregate Power Flexibility in Unbalanced Distribution Systems

被引:101
|
作者
Chen, Xin [1 ]
Dall'Anese, Emiliano [2 ]
Zhao, Changhong [3 ]
Li, Na [1 ]
机构
[1] Harvard Univ, Sch Engn & Appl Sci, Cambridge, MA 02138 USA
[2] Univ Colorado, Dept Elect Comp & Energy Engn, Boulder, CO 80309 USA
[3] Chinese Univ Hong Kong, Dept Informat Engn, Hong Kong, Peoples R China
基金
美国国家科学基金会;
关键词
Aggregates; Substations; Optimization; HVAC; Load modeling; Mathematical model; Energy resources; Power aggregation; distributed energy resources; unbalanced optimal power flow; power flexibility; distributed optimization; DISTRIBUTION NETWORKS; GENERATION;
D O I
10.1109/TSG.2019.2920991
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:258 / 269
页数:12
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