A Novel Distributed Large-Scale Demand Response Scheme in High Proportion Renewable Energy Sources Integration Power Systems Article Swipe
Shuai Fan
,
Guangyu He
,
Kunqi Jia
,
Zhihua Wang
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/app8030452
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3390/app8030452
Large-scale demand response (DR) is a useful regulatory method used in high proportion renewable energy sources (RES) integration power systems. Current incentive-based DR schemes are unsuitable for large-scale DR due to their centralized formulation. This paper proposes a distributed scheme to support large-scale implementation of DR. To measure DR performance, this paper proposes the customer directrix load (CDL), which is a desired load profile, to replace the customer baseline load (CBL). The uniqueness of CDL makes it more suitable for distributed schemes, while numerous CBLs have to be calculated in a centralized manner to ensure fairness. To allocate DR tasks and rebates, this paper proposes a distributed approach, where the load serving entity (LSE) only needs to publish a total rebate and corresponding CDL. As for each customer, s/he needs to claim an ideal rebate ratio that ranges from 0 to 1, which indicates the proportion of rebate s/he wants to get from LSE. The rebate value for each customer also determines his or her DR task. Then, the process of customer claims for the ideal rebate ratio is modeled as a non-cooperative game, and the Nash equilibrium is proved to exist. The Gossip algorithm is improved in this paper to be suitable for socially connected networks, and the entire game process is distributed. Finally, a large-scale DR system is formulated. The simulation results show that the proposed DR can promote the consumption of RES. Additionally, this scheme is suitable for large-scale customer systems, and the distributed game process is effective.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/app8030452
- https://www.mdpi.com/2076-3417/8/3/452/pdf?version=1525337860
- OA Status
- gold
- Cited By
- 21
- References
- 48
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2793093545
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2793093545Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/app8030452Digital Object Identifier
- Title
-
A Novel Distributed Large-Scale Demand Response Scheme in High Proportion Renewable Energy Sources Integration Power SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-03-16Full publication date if available
- Authors
-
Shuai Fan, Guangyu He, Kunqi Jia, Zhihua WangList of authors in order
- Landing page
-
https://doi.org/10.3390/app8030452Publisher landing page
- PDF URL
-
https://www.mdpi.com/2076-3417/8/3/452/pdf?version=1525337860Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2076-3417/8/3/452/pdf?version=1525337860Direct OA link when available
- Concepts
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Computer science, Demand response, Nash equilibrium, Distributed computing, Renewable energy, Scheme (mathematics), Mathematical optimization, Operations research, Electricity, Electrical engineering, Engineering, Mathematics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
21Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 1, 2023: 3, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
48Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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