Abstract
This paper proposes an integrated scheduling model for optimal despatch of cooling, heating, power, gas and water sources in an energy-water microgrid, where the microgrid operator participates in the power, heat, and gas markets and utilizes energy conversion facilities to meet various demands. Further, the role of water and energy storage systems (WESSs) and demand response program (DRP) is investigated on optimal scheduling of the combined cooling, heating, power, gas, and water-based microgrid. In addition, a multi-objective two-stage stochastic optimization model is adopted to minimize the total cost, including operating and emission costs and the amount of potable water extracted from water wells due to the uncertainties of electrical demand, wind power, and electricity market price. Moreover, the epsilon-constraint method and fuzzy satisfying approach are applied to obtain the optimal solution in the multi-objective problem. Ultimately, the simulation results confirm the advantages of simultaneous consideration of WESSs and DRP on the total cost of the proposed energy-water microgrid.
| Original language | English |
|---|---|
| Article number | 103573 |
| Number of pages | 19 |
| Journal | Sustainable Cities and Society |
| Volume | 77 |
| Early online date | 24 Nov 2021 |
| DOIs | |
| Publication status | Published - 1 Feb 2022 |
Keywords
- Energy storage systems
- Energy-water nexus
- Multi-energy microgrid
- Multi-objective optimization
- Two-stage stochastic programming
