Abstract
This paper proposes an Approximate Dynamic Programming (ADP) based approach for solving the long-term renewable generation expansion planning problem by considering the effects of hourly security-constrained unit commitment (SCUC). Compared with traditional approaches, the proposed approach can assist Independent System Operators (ISO) to determine the dynamic expansion for multiple years on the basis of current year information, hence it can reduce the computation burden from future states forecasting. The objective of the proposed long-term power system planning is to minimize the total costs of investment and operation for the base case with forecast values while considering variable cost from uncertainties. Numerical case studies on a 6-bus system illustrate the effectiveness of the proposed ADP based long-term planning model for the integration of renewable energy under various uncertainties.
| Original language | English |
|---|---|
| Title of host publication | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 |
| ISBN (Electronic) | 9781509041688 |
| DOIs | |
| State | Published - 10 Nov 2016 |
| Event | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016 |
Publication series
| Name | IEEE Power and Energy Society General Meeting |
|---|---|
| Volume | 2016-November |
| ISSN (Print) | 1944-9925 |
| ISSN (Electronic) | 1944-9933 |
Conference
| Conference | 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 |
|---|---|
| Country/Territory | United States |
| City | Boston |
| Period | 17/07/16 → 21/07/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Approximate dynamic programming
- Power system planning
- Power system reliability
- Renewable resource integration
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