4.4 Article

Distributed optimal residential demand response considering operational constraints of unbalanced distribution networks

Journal

IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 12, Issue 9, Pages 1970-1979

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2017.1366

Keywords

load regulation; power distribution control; IEEE standards; distributed optimal residential demand response; operational constraints; unbalanced distribution networks; direct load control; load service entity; DLC event; three-phase distribution networks; centralised control; IEEE benchmark systems; three-phase unbalanced distribution networks; IEEE 123-bus distribution system

Funding

  1. National Science Foundation of China [51477083]
  2. National Key Research and Development Plan of China [2016YFB0900400]

Ask authors/readers for more resources

As a typical approach to demand response (DR), direct load control (DLC) enables a load service entity (LSE) to adjust the electricity usage of residential customers for peak shaving during a DLC event. Households are connected in low-voltage distribution networks, which are always three-phase unbalanced. However, existing work has not considered the detailed operational constraints of three-phase distribution networks, which may lead to decisions that deviate from reality or are even infeasible in practice. Moreover, centralised control may cause privacy and communication issues. This study proposes a distributed residential DLC method that considers the operational constraints of three-phase unbalanced distribution networks and privacy of residential customers. Numerical tests on IEEE benchmark systems demonstrate effectiveness of the method. The proposed distributed method can converge within 17 iterations in IEEE 123-bus distribution system, which demonstrates scalability of the proposed algorithm.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available