Article citationsMore>>

Khan, M., Javaid, N., Arif, M., Saud, S., Qasim, U. and Khan, Z. (2014) Peak Load Scheduling in Smart Grid Communication Environment. 28th International Conference on Advanced Information Networking and Applications, Victoria, 13-16 May 2014, 1025-1032.
https://doi.org/10.1109/AINA.2014.135

has been cited by the following article:

• TITLE: Green-Aware Token Based Demand Scheduling for Electricity Markets

  AUTHORS: Daniel Ngondya, Joseph Mwangoka

  KEYWORDS: Token Based Scheduling, Demand Side Management, Solar Power, Green Energy, Reverse Peaks

  JOURNAL NAME: Smart Grid and Renewable Energy, Vol.9 No.1, January 16, 2018

  ABSTRACT: Increasing consumption, changing nature of loads and the need to reduce carbon emission are some of the factors threatening electricity grid stability and reliability. Demand side management programs mainly work by shifting consumption from peak to off-peak period, which inconveniences some consumers and possibly creates a new peak (Reverse Peak) in off-peak hours. Growing use of Photovoltaic solar power in residences provides an opportunity to manage grid reliability and stability in a more flexible manner, and mitigates reverse peaks. We propose a community based scheduling algorithm that guarantees access to shared power capacity and integrates residences’ solar power into the grid. Results indicate peak demand can be reduced by up to 32.1%, while energy costs can be reduced by up to 14.0%. Furthermore, coordinated discharging can mitigate reverse peaks by up to 23.4%. Encouraging and integrating green energy generation and storage in the consumer side is crucial to grid stability and reliability.