An Efficient Consumption Optimisation for Dense Neighbourhood Area Demand Management

Zhu, Z; Fan, Z

Abstract

Enabled by the information and communication technology (ICT), both system operators and consumers are able to make informed decisions on electricity demand management. Recent advances in theWide Area Measurement System (WAMS) provides better observability of MV/LV grids. This enables more efficient operational control and demand management in the distribution network. This paper investigates dense area demand management and proposes an efficient consumption optimisation technique based on the idea of mean field theory. The proposed technique is able to achieve socially optimal result with low computational effort and ICT overhead. The technique can be used by the system operators to perform demand forecasting while consumers benefit from optimised use of energy. Numerical simulations are presented to demonstrate the proposed technique.

Citation

Zhu, Z., & Fan, Z. (2016, April). An Efficient Consumption Optimisation for Dense Neighbourhood Area Demand Management. Presented at IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON)., Leuven, Belgium

• Presentation Conference Type: Conference Paper (published)
• Conference Name: IEEE INTERNATIONAL ENERGY CONFERENCE (ENERGYCON).
• Start Date: Apr 4, 2016
• End Date: Apr 8, 2016
• Acceptance Date: Apr 4, 2016
• Online Publication Date: Jul 18, 2016
• Publication Date: Jul 18, 2016
• Deposit Date: Jun 15, 2023
• Journal: IEEE International Energy Conference and Exhibition (EnergyCon)
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1109/ENERGYCON.2016.7514063
• Public URL: https://keele-repository.worktribe.com/output/460512
• Publisher URL: https://ieeexplore.ieee.org/document/7514063