Abstract
Nonanticipativity and multi-stage robustness are two important requirements that directly determine the feasibility of the multi-stage scheduling problem of microgrid (MG) with energy storage (ES) and renewables. To this end, this paper proposes a novel method for MG with ES considering the use-independent energy-loss rate, which can guarantee nonanticipativity and multi-stage robustness simultaneously. Firstly, the mathematical economic dispatch model considering the use-independent energy-loss rate is established. Secondly, the feasible regions for the variables are given based on the analysis of the constraints' structure, which is the necessary and sufficient condition for the feasible solutions. Thirdly, with the feasible regions, a single-level multi-stage robust method is proposed to directly determine the real-time decisions, where only maximum and minimum scenarios are needed to determine the feasibility and finite representative scenarios are considered to improve the economy. Numerical tests implemented on a real MG system verify the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023 |
| Publisher | IEEE Computer Society |
| ISBN (Electronic) | 9798350320695 |
| DOIs | |
| State | Published - 2023 |
| Event | 19th IEEE International Conference on Automation Science and Engineering, CASE 2023 - Auckland, New Zealand Duration: 26 Aug 2023 → 30 Aug 2023 |
Publication series
| Name | IEEE International Conference on Automation Science and Engineering |
|---|---|
| Volume | 2023-August |
| ISSN (Print) | 2161-8070 |
| ISSN (Electronic) | 2161-8089 |
Conference
| Conference | 19th IEEE International Conference on Automation Science and Engineering, CASE 2023 |
|---|---|
| Country/Territory | New Zealand |
| City | Auckland |
| Period | 26/08/23 → 30/08/23 |
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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