Hierarchical Management of Distributed Energy Resources Using Chance-Constrained OPF and Extremum Seeking Control: Preprint
Distributed energy resources (DERs) are becoming an important part of distribution systems because of their economic and environmental benefits. Although their inherent intermittency and volatility introduce uncertainties into the system, they have potential to provide controllability to the system under proper coordination. In this paper, we propose a hierarchical control algorithm for distribution systems with DERs so that they have controllability similar to that of a generator bus. The upper level scheduler solves a chance-constrained optimal power flow (OPF) problem to plan the operation of the DERs based on forecasts, and the lower level distributed DER controllers leverage the extremum seeking approach to deliver the planned power at the feeder head. The proposed algorithm is tested on a modified IEEE 13-node feeder, demonstrating its effectiveness.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Electricity (OE)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1527331
- Report Number(s):
- NREL/CP-5D00-73404
- Resource Relation:
- Conference: Presented at the American Control Conference, 10-12 July 2019, Philadelphia, Pennsylvania
- Country of Publication:
- United States
- Language:
- English
Similar Records
Data-Driven Chance-Constrained Design of Voltage Droop Control for Distribution Networks: Preprint
Combining model-based and model-free methods for stochastic control of distributed energy resources