An integer linear programming and game theory based optimization for demand-side management in smart grid
Abstract
We propose a consumption scheduling mechanism for home and neighbourhood area load demand management in smart grid using integer linear programming (ILP) and game theory. The proposed mechanism is able to schedule both the optimal power and the optimal operation time for power-shiftable appliances and time-shiftable appliances respectively according to the power consumption patterns of all the individual appliances. Simulation results for both the centralised and the distributed management scenarios have been presented to demonstrate and verify the effectiveness of the proposed technique.
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The cited works on demand scheduling neglect grid constraints, and therefore there is no strict control of congestion events and voltage issues along the feeders.
“All these works neglect grid constraints, and therefore there is no strict control of congestion events and voltage issues along the feeders.”
From Congestion mitigation in unbalanced residential networks with OPF-based demand management (2022) · cites this paper as [23]
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Ghafar, A., Khalid, R., Ali, M., Hassan, C. A. U., Ishaq, A., Amin, B., & Javaid, N. (2017) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-319-69811-3_3 · Cited by 7 · see citing works
Energy efficiency of small buildings with smart cooling system in the summer
Daneshvar, Y., Sabzehparvar, M., & Hashemi, S. A. H. (2020) · Frontiers in Energy · doi:10.1007/s11708-020-0699-7 · Cited by 7 · see citing works
Cooperative Distributed Energy Scheduling of Smart Homes Appliances in a Smart District
Fanti, M. P., Mangini, A. M., Pedroncelli, G., & Roccotelli, M. (2019) · European Control Conference (ECC) · doi:10.23919/ecc.2019.8795640 · Cited by 6 · see citing works
A Game Theoretic Approach for Cost-Effective Management of Energy Harvesting Smart Grids
Blinovas, A., Urazaki, K., Badia, L., & Gindullina, E. (2022) · International Wireless Communications and Mobile Computing Conference (IWCMC) · doi:10.1109/iwcmc55113.2022.9825181 · Cited by 6 · see citing works
Kraft, J., & Luh, M. (2022) · Energies · doi:10.3390/en15207500 · Cited by 6 · see citing works
- Authors
- Zhu, Z., Tang, J., Lambotharan, S., Chin, W. H., & Fan, Z.
- Affiliations
- Loughborough University (GB)
- Venue
- 2011 IEEE GLOBECOM Workshops (GC Wkshps)
- Publisher
- IEEE
- Published
- 2011-12
- Pages
- 1205-1210
- OpenAlex
- W2040697333
- Cited by
- 157
- References
- 8
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 7 · 2022: 14 · 2021: 6 · 2020: 13 · 2019: 13 · 2018: 14 · 2017: 42 · 2016: 8 · 2015: 14 · 2014: 13 · 2013: 7
- FWCI
- 8.68
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Globecom Workshops (GC Wkshps) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
- Physical Sciences › Engineering › Electrical and Electronic Engineering › IoT-based Smart Home Systems
- Keywords
- demand-side management, smart grid, integer linear programming, game theory, load demand management, centralized management, distributed management
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