Journal
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 12, Issue 2, Pages 1347-1359Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2020.3044895
Keywords
Reactive power; Load modeling; HVAC; Distributed power generation; Load flow; Heating systems; Topology; Adaptive restoration; controllable loads; demand response; distributed energy resources; distribution system restoration; model predictive control
Categories
Funding
- U.S. Department of Energy (DOE) [DE-AC36-08GO28308]
- Laboratory Directed Research and Development (LDRD) Program at NREL
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This article introduces a hierarchical structure and adaptive restoration strategy for utilizing distributed energy resources for swift service recovery in distribution system outages. It also proposes novel flexibility assessment and model predictive control techniques to adjust system topology and DER operation strategies effectively. The performance of the proposed restoration model is validated on a modified IEEE 123-bus test system, demonstrating its effectiveness.
Distributed energy resources (DERs) can be utilized as alternative power sources for fast service recovery in cases of distribution system outages. However, the diverse characteristics and stochastic nature of DERs impose challenges on the optimal operation of diverse resources during the restoration phase. In this article, we introduce a hierarchical structure to coordinate distribution system entities and propose an adaptive restoration strategy to sustain a reliable power supply to outage loads in an unbalanced distribution system utilizing DERs. An efficient system reconfiguration model is developed to guarantee the radiality of restoration islands. The flexibility of DERs is evaluated by a novel method that focuses on the cumulative energy consumption, the superiority of which is also proven. Model predictive control (MPC) is adopted to enable the adjustment of system topology and DER operation strategies based on up-to-date data. The performance of the proposed restoration model is validated on a modified IEEE 123-bus test system. Moreover, the effectiveness of the proposed novel flexibility assessment and the MPC-based adaptive restoration strategy are verified through comparative studies.
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