Abstract
With the emerging of smart grid techniques, cyber attackers may be able to gain access to critical energy infrastructure data and strategic market participants may be able to identify their rivals' offers or bids. This paper discusses privacy-preserving economic dispatch (ED) in competitive electricity market, in which individual generation companies and load serving entities can mask their actual bidding and physical data using random numbers before submitting to the System Operator. This would avoid potential information leak of critical energy infrastructure and financial data of market participants. The optimal solution to the original ED could be retrieved from the optimal solution of the proposed privacy-preserving ED. Numerical studies show the effectiveness of the proposed privacy-preserving ED while guaranteeing the same optimal solution.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018 |
| DOIs | |
| State | Published - 17 Aug 2018 |
| Event | 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018 - Denver, United States Duration: 16 Apr 2018 → 19 Apr 2018 |
Publication series
| Name | Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference |
|---|---|
| Volume | 2018-April |
| ISSN (Print) | 2160-8555 |
| ISSN (Electronic) | 2160-8563 |
Conference
| Conference | 2018 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2018 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 16/04/18 → 19/04/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Economic dispatch
- LMP
- privacy-preserving
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