Grid Innovation Hub

Modelling of Potential Future Structures for (DERs)

Demand response programs offer numerous benefits to various stakeholders within the power industry. Among these stakeholders, commercial and industrial (C&I) customers wield significant influence on power networks compared to residential consumers.

This initiative seeks to address challenges related to demand response with a focus on C&I customers. Specifically, it aims to tackle issues surrounding demand response baseline calculations and the integration of backup generators into the distribution grid.

Please find the link to our project information on C4Net's webpage.

Project summary

Utilizing machine learning techniques, the project will explore avenues to enhance demand response baselines, as well as investigate the feasibility and potential obstacles associated with leveraging backup generators owned by C&I customers for demand response programs. Additionally, it will examine the impact of network tariffs on incentivizing the adoption of battery storage in demand response initiatives.

Anticipated outcomes of the project for C&I customers, distribution network service providers (DNSPs), and policymakers include:

  • Demonstrating the efficacy of machine learning in optimizing demand response programs.
  • Unveiling the untapped value of backup generators for demand response participation.
  • Identifying technical solutions for enabling backup generators to export power to the grid.
  • Highlighting the benefits of participation-based tariffs in encouraging C&I engagement in demand response efforts.
  • Conducting feasibility assessments for C&I participation in demand response programs through battery installation.

Chief Investigators

Industry partners