Published in UQ eSpace, 2023
This PhD thesis develops network-aware residential demand response schemes in the presence of uncertainties.
Recommended citation: G. Lankeshwara, "Network-aware Demand Response in the Presence of Uncertainties," 2023, doi:10.14264/0b87703 https://doi.org/10.14264/0b87703
Published in IEEE Transactions on Smart Grid, 2023
This paper presents a new dynamic operating envelope (DOE)-integrated peer-to-peer (P2P) trading scheme to increase the exchange of electricity from prosumers to a distribution network without jeopardising the network constraints.
Recommended citation: M. I. Azim, G. Lankeshwara, W. Tushar, R. Sharma, M. R. Alam, T. K. Saha, M. Khorasany and R. Razzaghi, 2023. "Dynamic Operating Envelope-enabled P2P Trading to Maximise Financial Returns of Prosumers," IEEE Transactions on Smart Grids, 2023, doi:10.1109/TSG.2023.3297366 https://doi.org/10.1109/TSG.2023.3297366
Published in IEEE Transactions on Power Systems, 2023
This paper proposes a near real-time approach to determine dynamic operating envelopes that specify the feasible operating regions at end-users’ POC in an LV distribution network.
Recommended citation: G. Lankeshwara, R. Sharma, R. Yan, T. K. Saha and J. V. Milanovic, 2023. "Time-varying Operating Regions of End-users and Feeders in Low-voltage Distribution Networks," IEEE Transactions on Power Systems, 2023, doi:10.1109/TPWRS.2023.3302421 https://doi.org/10.1109/TPWRS.2023.3302421
Published in International Journal of Control, 2023
This paper presents an end-user privacy and thermal comfort preserving approach for residential thermostatically controllable loads (TCLs) to provide demand response (DR) in grid services under uncertainties.
Recommended citation: Gayan Lankeshwara and Rahul Sharma, "Robust Provision of Demand Response from Thermostatically Controllable Loads using Lagrangian Relaxation," International Journal of Control, 2023, doi: 10.1080/00207179.2023.2241579. https://doi.org/10.1080/00207179.2023.2241579
Published in IEEE Transactions on Sustainable Energy, 2023
This paper proposes a two-stage, top-down approach to allocate dynamic operating envelopes in MV-LV (medium voltage-low voltage) integrated distribution networks.
Recommended citation: M. R. Alam, P. T. H. Nguyen, L. Naranpanawe, T. K. Saha and G. Lankeshwara, 2023. "Allocation of Dynamic Operating Envelopes in Distribution Networks: Technical and Equitable Perspectives," IEEE Transactions on Power Systems, 2023, doi:10.1109/TSTE.2023.3275082 https://doi.org/10.1109/TSTE.2023.3275082
Published in 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2022
This paper presents a real-time, coordinated approach for residential demand response (DR) participation in electricity markets under the dynamic operating envelopes (DOEs) framework.
Recommended citation: G. Lankeshwara and R. Sharma, "Dynamic operating envelopes-enabled demand response in low-voltage residential networks," 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2022, doi: 10.1109/APPEEC53445.2022.10072108. https://doi.org/10.1109/APPEEC53445.2022.10072108
Published in Energy, 2022
This paper presents an end-user privacy and comfort preserving, scalable, hierarchical control scheme for inverter-type air conditioners to provide real-time market services in the presence of uncertainties.
Recommended citation: G. Lankeshwara, R. Sharma, R. Yan and T.K. Saha, "A hierarchical control scheme for residential air-conditioning loads to provide real-time market services under uncertainties," Energy, Elsevier, vol. 250, p. 123796, 2022. https://doi.org/10.1016/j.energy.2022.123796
Published in Applied Energy, 2022
This paper proposes a novel two-stage control algorithm for robust centralised management of aggregate residential loads which guarantee precise load set-point tracking in the presence of uncertainties occurring in real-time while ensuring that end-user thermal comfort is not compromised.
Recommended citation: Lankeshwara, Gayan & Sharma, Rahul & Yan, Ruifeng & Saha, Tapan K., 2022. "Control algorithms to mitigate the effect of uncertainties in residential demand management," Applied Energy, Elsevier, vol. 306(PA). https://doi.org/10.1016/j.apenergy.2021.117971
Published in 2021 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 2021
This paper presents a LV feeder-level real-time control approach to maximise the utilisation of rooftop PV by assigning 5-min active power export limits for households.
Recommended citation: G. Lankeshwara, "A Real-time Control Approach to Maximise the Utilisation of Rooftop PV Using Dynamic Export Limits," 2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia), 2021, pp. 1-5, doi: 10.1109/ISGTAsia49270.2021.9715714. https://doi.org/10.1109/ISGTAsia49270.2021.9715714
Published in 2021 IEEE Power & Energy Society General Meeting (PESGM), 2021
This paper presents a model-based approach for the collective control of residential air-conditioning loads to deliver robust and optimal demand management.
Recommended citation: G. Lankeshwara, R. Sharma, R. Yan and T. K. Saha, "Control of Residential Air-conditioning Loads to Provide Regulation Services under Uncertainties," 2021 IEEE Power & Energy Society General Meeting (PESGM), 2021, pp. 1-5, doi: 10.1109/PESGM46819.2021.9637890. https://doi.org/10.1109/PESGM46819.2021.9637890