A Mixed Integer Linear Programming-based Distributed Energy Management for Three-phase Unbalanced Active Distribution Network
By:
Liu, Guodong ; Ferrari Maglia, Maximiliano F; Chen, Yang
Page Number:
1-5
Book Title:
Proceedings of the 2024 IEEE Kansas Power and Energy Conference
Publication Date:
June 6, 2024
Publisher Location:
IEEE, New Jersey, United States of America
Conference Name:
2024 IEEE Kansas Power and Energy Conference (KPEC)
Conference Location:
Manhattan, Kansas, United States of America
Conference Sponsor:
IEEE
Abstract
A mixed integer linear programming (MILP)–based
distributed energy management for three-phase unbalanced
active distribution network is proposed. Modern distribution
networks have becoming more and more active with increasing
deployment of microgrids, distributed energy resources (DERs)
as well as controllable loads. Considering various ownership and
control models of microgrids, DERs and controllable loads, a
distributed energy management was formulated using the alternating
direction method of multipliers (ADMM) algorithm. By
ADMM, the distribution management system (DMS) and these
active components are coordinated through price signals, which
are adjusted according to the generation-load mismatch per node
per phase. To enable resolution of the ADMM-based distributed
optimization using more accessible and popular MILP solver,
different linearization techniques were proposed to linearize the
augmented Lagrangian terms and other nonlinear terms. Results
of case studies on a three-phase active distribution network with
three microgrids and several DERs and controllable loads validated
the effectiveness of proposed MILP-based distributed energy
management. In addition, the capability of proposed method in
mitigating phase power unbalance has been demonstrated.
