Abstract
In the context of electric energy substitution, we propose an integrated energy system (IES) planning model that considers integrated demand response. In this model, the incentive demand response and multi-energy substitution are considered at the same time, as well as the nonlinear response cost function. We use dist-flow and piecewise linearization to linearize Weymouth equation and response cost function. Finally, a mixed integer linear programming (MILP) model is established, which can be solved directly by Gurobi or CPLEX. Case studies have shown that multi-energy substitution can effectively reduce the total cost of the system and promote peak-shaving and valley-filling of the electric load curve. Under such effects, multi-energy Substitution can recover equipment investment subsidies within a limited time, and has good application prospects.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2021 IEEE Sustainable Power and Energy Conference |
| Subtitle of host publication | Energy Transition for Carbon Neutrality, iSPEC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 913-918 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665414395 |
| DOIs | |
| State | Published - 2021 |
| Event | 2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021 - Nanjing, China Duration: 22 Dec 2021 → 24 Dec 2021 |
Publication series
| Name | Proceedings - 2021 IEEE Sustainable Power and Energy Conference: Energy Transition for Carbon Neutrality, iSPEC 2021 |
|---|
Conference
| Conference | 2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 22/12/21 → 24/12/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- MILP
- integrated demand response
- integrated planning
- multi-energy substitutions
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