Open AccessDistributed optimal residential demand response considering operational constraints of unbalanced distribution networks
Author(s) -
Zheng Weiye,
Wu Wenchuan,
Zhang Boming,
Lin Chenhui
Publication year - 2018
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2017.1366
Subject(s) - computer science , scalability , benchmark (surveying) , demand response , electricity , peaking power plant , control (management) , service (business) , distributed computing , work (physics) , distributed generation , mathematical optimization , engineering , electrical engineering , mathematics , renewable energy , mechanical engineering , economy , geodesy , database , artificial intelligence , economics , geography
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.