Customized Scheduling of Demand Response of Customers with Dispatchable Inverters in Distribution-level Photovoltaic Facilities

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Authors: Marrero Lester, Sbarbaro H. Daniel, Garcia-Santander Luis
Cited by: 0

Abstract

The growing electricity demand, combined with the increasing integration of photovoltaic (PV) generation into the distribution system, requires higher flexibility from the demand side. This paper proposes a customized scheduling approach for demand response (DR) of customers with dispatchable inverters in distribution-level PV facilities. Based on the Chilean context, the proposed approach enables these energy resources to provide flexibility in the technical and economic management of the distribution system operator (DSO). Specifically, a bi-level optimization model is introduced. At the upper level, the DSO minimizes distribution system costs by determining daily price signals for customers based on their response profile classes (RPCs) and active and reactive power set points for PV facilities. At the lower level, customers aim to reduce their electricity bills. In addition, the proposed approach ensures the reliable operation of the distribution system with high probability by ad-dressing uncertainty through chance constraints (CCs). Incorporated CCs in the distribution system modeling include the squared magnitude of nodal voltage, complex power flow in lines, and apparent power of inverters. Finally, two case studies are presented, involving 420 residential and commercial Chilean customers with two distribution-level PV facilities using real-world market prices and daily consumption profiles on the IEEE 37-node test feeder. Results demonstrate how the proposed model enables the customized scheduling of customers and PV facilities, highlighting its effectiveness over the uniform price scheme.

Fields of Study & Subjects

Smart Grid Energy Management Optimal Power Flow Distribution Electric Power System Optimization

Publication details

Journal / source
Journal of Modern Power Systems and Clean Energy
Volume
14
Issue
1
Pages
322–333
Publication date
1 January 2026
Language
EN