Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks: Preprint
This paper addresses the design of local control methods for voltage control in distribution networks with high level of distributed energy resources (DERs). The designed control methods adapt the active and reactive power output of distributed energy resources proportional to the deviation of the local measured voltage magnitudes from a reference voltage, which is referred to as droop control. Thus, the design focuses on determining the droop characteristics which satisfy network-wide voltage magnitude constraints. The uncertainty and variability of DERs renders the design of optimal droop controls very challenging. Hence, this paper proposes chance constraints to limit the risk from intermittent DERs, by designing droop control coefficients that guarantee the satisfaction of network operational constraints with a specific probability. In addition, the proposed approach relies entirely on historical data rather than assuming knowledge of the probability distributions that characterize the uncertainty of DERs. The efficacy of the proposed method is demonstrated on a 37-bus distribution feeder.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
- DOE Contract Number:
- AC36-08GO28308;
- OSTI ID:
- 1840704
- Report Number(s):
- NREL/CP-5D00-80428; MainId:42631; UUID:82aecf46-342f-4f4d-8af9-060f4fda2ef2; MainAdminID:63344
- Conference Information:
- Presented at the Hawai'i International Conference on System Sciences, 3-7 January 2022
- Country of Publication:
- United States
- Language:
- English
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