Abstract
Nowadays, environmental pollution, global warming and energy crisis pose a great threat to human development. To deal with these challenges, the concept of global energy interconnection (GEI) is proposed, which aims building an extensively interconnected power grid in the world. The economic dispatch (ED) problem is an essential topic of GEI, in which the country information privacy should be kept. Moreover, along with the time periods increasing, the problem dimension will be larger and cause more calculation burden. Thus, a bi-level distributed algorithm for ED problem of GEI is proposed in this paper. The first level realizes an area-distributed algorithm, which holds the information privacy; the second level gives a time-parallel algorithm, which accelerates the calculation speed. Numerical simulation verifies the effectiveness of proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9781728119816 |
| DOIs | |
| State | Published - Aug 2019 |
| Event | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: 4 Aug 2019 → 8 Aug 2019 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2019-August |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 4/08/19 → 8/08/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 12 Responsible Consumption and Production
Keywords
- Distributed algorithm
- economic dispatch
- global energy interconnection
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