Pratik Harsh's Outputs (7)

A Scalable and Resilient Protection Framework for Hybrid Microgrids Using Zero Injection Cluster and Graph Learning (2025)
Journal Article
Goyal, A., Jiang, J., Koley, E., Ghosh, S., Harsh, P., & Sun, H. (2025). A Scalable and Resilient Protection Framework for Hybrid Microgrids Using Zero Injection Cluster and Graph Learning. Applied Energy, 391, Article 125927. https://doi.org/10.1016/j.apenergy.2025.125927

Hybrid microgrids in spite of offering a promising solution to meet rising energy demands, have not received wider acceptance by power utilities because of the complexity of their protection schemes. Real-world microgrids are highly susceptible to di... Read More about A Scalable and Resilient Protection Framework for Hybrid Microgrids Using Zero Injection Cluster and Graph Learning.

Energy Self-Sufficiency Assessment of a Novel Low-Light Enhanced Photovoltaic Model in the Residential Sector (2025)
Presentation / Conference Contribution
Celis, A. A., Sun, H., Groves, C., & Harsh, P. (2024, October). Energy Self-Sufficiency Assessment of a Novel Low-Light Enhanced Photovoltaic Model in the Residential Sector. Presented at 2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024, Phoenix, AZ, USA

Increased photovoltaic (PV) penetration in the low-voltage residential sector highlights the intrinsic problems with Silicon PV (Si-PV) in seasonal power output fluctuations. Exploring the potential performance of emerging PV materials, such as Perov... Read More about Energy Self-Sufficiency Assessment of a Novel Low-Light Enhanced Photovoltaic Model in the Residential Sector.

Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources (2025)
Journal Article
Harsh, P., Sun, H., Das, D., Goyal, A., & Jiang, J. (online). Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources. IEEE Transactions on Industry Applications, https://doi.org/10.1109/TIA.2025.3535847

The growing integration of distributed energy resources (DERs) into the power grid necessitates an effective coordination strategy to maximize their benefits. Acting as an aggregator of DERs, a virtual power plant (VPP) facilitates this coordination,... Read More about Stochastic Incentive-based Demand Response Program for Virtual Power Plant with Distributed Energy Resources.

Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading (2024)
Presentation / Conference Contribution
Ezeokafor, C., Harsh, P., & Sun, H. (2024, November). Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading. Presented at IEEE PES Australasian Universities Power Engineering Conference (AUPEC), Sydney, Australia

Efficient scheduling of the sources within a community is essential to reduce the electricity-related cost as well as the carbon emissions from the community. A novel energy management strategy for community grids is introduced in this research, leve... Read More about Multi-Objective Optimisation for Energy Scheduling in Smart Grids using Peer-to-Peer Trading.

Optimal Energy Scheduling of Digital Twins Based Integrated Energy System (2024)
Presentation / Conference Contribution
Du, J., Harsh, P., & Sun, H. (2024, December). Optimal Energy Scheduling of Digital Twins Based Integrated Energy System. Presented at The 4th International Conference on Smart City and Green Energy, Sydney

With global climate change and growing electricity demand, optimizing Integrated Energy Systems (IES) for low-carbon and economic transformation has become particularly important. By applying digital twin (DT) technology to create a virtual copy of t... Read More about Optimal Energy Scheduling of Digital Twins Based Integrated Energy System.

Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration (2024)
Presentation / Conference Contribution
Harsh, P., Sun, H., Awagan, G., & Jiang, J. (2024, November). Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration. Presented at IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, Chicago, IL, USA

Virtual power plants (VPPs) are increasingly utilized to efficiently coordinate and manage the increasing number of distributed energy resources (DERs) within power grids. Traditionally, VPP models have prioritized commercial or financial objectives,... Read More about Energy scheduling of technical virtual power plant considering incentive-based demand response program and distribution network reconfiguration.

Identification of Photovoltaic and Electric Vehicle Profiles in Distribution Networks Using Long Short-Term Memory Network (2024)
Presentation / Conference Contribution
Awagan, G., Jiang, J., Peiris, V., Sun, H., & Harsh, P. (2024, June). Identification of Photovoltaic and Electric Vehicle Profiles in Distribution Networks Using Long Short-Term Memory Network. Presented at 2024 IEEE 6th Global Power, Energy and Communication Conference, GPECOM 2024, Budapest, Hungary

The widespread implementation of global initiatives focused on achieving net-zero carbon emissions and the electrification of transportation has resulted in the extensive deployment of distributed energy resources (DERs) within the low-voltage distri... Read More about Identification of Photovoltaic and Electric Vehicle Profiles in Distribution Networks Using Long Short-Term Memory Network.