Article citationsMore>>

Zhang, D., Li, S., Sun, M. and Neill, Z.O. (2016) An Optimal and Learning-Based Demand Response and Home Energy Management System. IEEE Transactions on Smart Grid, 7, 1790-1801.
https://doi.org/10.1109/TSG.2016.2552169

has been cited by the following article:

• TITLE: Smart Grid Distribution Management System (SGDMS) for Optimised Electricity Bills

  AUTHORS: Weixian Li, Chonghao Ng, Thillainathan Logenthiran, Van-Tung Phan, Wai Lok Woo

  KEYWORDS: Smart Grid, Multi-Agent System, Electricity Bill

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.6 No.8, August 20, 2018

  ABSTRACT: This paper presents the use of proposed Smart Grid Distribution Management System (SGDMS) for Singapore contestable and non-contestable consumers. The SGDMS is a distributed management system proposed using Multi-Agent System (MAS) technology. This system can optimise the distribution of renewable energy while minimizing electricity bills for consumers. The entire system was developed using Java with the extension of JADE which is an IEEE FIPA compliant multi-agent system platform. This decentralised platform allows agents to interact and communicate using energy sources from different sectors and control them intelligently to minimise the cost of electricity for the consumers. Simulation studies were carried out on the proposed system to show its potential for providing solutions through intelligent distribution techniques and how it influences the cost of electricity.