The effect of demand response on distribution system operation
Abstract
Demand response is an important resource that can significantly increase the efficiency of the future power systems. It is a key component of smart grids that can bring a lot of benefits to power system operators and customers. This work assesses potential impacts of demand response on some major attributes of the distribution system such as the network losses, voltage profiles, and maximum power flow through the lines. We considered detailed and practical models of individual residential loads for flexible loads in the system. The flexible load models are various household appliances with different acceptable delay times (ADTs) within which their consumption can be shifted from the normal schedules. With these models, demand response was applied to the 33-bus IEEE test system. In this system, each bus served a specific number of aggregated individual residential loads. The obtained results have shown the great effects of demand response on distribution system attributes.
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In the California crisis in June 2000, a shortage of 300 MW (around 0.6% of the total system capacity) caused rolling blackouts.
“A striking example is the crisis in California in June 2000 in which a shortage of 300 MW (around 0.6% of the total system capacity) caused rolling blackouts [101].”
From An overview of Demand Response: Key-elements and international experience (2017) · cites this paper as [101]
Electrical equipment is designed for optimum operation at the nominal voltage. Any deviation from this can result in decreased efficiency, damage or severely reduced life of the infrastructure.
“Electrical equipment is designed for optimum operation at the nominal voltage. Any deviation from this can result in decreased e ffi ciency, damage or severely reduced life of the infrastructure [101].”
From An overview of Demand Response: Key-elements and international experience (2017) · cites this paper as [101]
In the long-run, benefits can also emerge for the consumers that do not participate in DR programs, since the lower wholesale market prices due to sustained DR programs are likely to cause a decrease in the flat retail rates as well.
“As a result, in the long-run, bene fi ts can also emerge for the consumers that do not participate in DR programs, since the lower wholesale market prices due to sustained DR programs are likely to cause a decrease in the fl at retail rates as well [101].”
From An overview of Demand Response: Key-elements and international experience (2017) · cites this paper as [101]
Cites
Demand side management in smart grid using heuristic optimization
Logenthiran, T., Srinivasan, D., & Shun, T. Z. (2012) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2012.2195686 · Cited by 1,229 · see citing works
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An overview of Demand Response: Key-elements and international experience
Paterakis, N. G., Erdinç, O., & Catalão, J. P. S. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.11.167 · Cited by 640 · see citing works
- Authors
- Narimani, M. R., Joo, J.-Y., & Crow, M. L.
- Affiliations
- Missouri University of Science and Technology (US)
- Venue
- 2015 IEEE Power and Energy Conference at Illinois (PECI)
- Publisher
- IEEE
- Published
- 2015-02
- Pages
- 1-6
- OpenAlex
- W2085357631
- Cited by
- 27
- References
- 1
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 3 · 2020: 3 · 2019: 5 · 2018: 2 · 2017: 2 · 2016: 4 · 2015: 1
- FWCI
- 3.72
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Power and Energy Conference at Illinois (PECI) (publishedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Optimal Power Flow Distribution
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- demand response, distribution network operation, network losses, voltage profile, flexible loads, smart grid, IEEE 33-bus system
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