TY - JOUR
T1 - Multi-Energy Microgrids: An Optimal Dispatch Model for Water-Energy Nexus
AU - Jalilian, Faezeh
AU - Mirzaei, Mohammad Amin
AU - Zare, Kazem
AU - Mohammadi-Ivatloo, Behnam
AU - Marzband, Mousa
AU - Anvari-Moghaddam, Amjad
PY - 2022/2/1
Y1 - 2022/2/1
N2 - This paper proposes an integrated scheduling model for optimal dispatch 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.
AB - This paper proposes an integrated scheduling model for optimal dispatch 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.
KW - Energy storage systems
KW - Energy-water nexus
KW - Multi-energy microgrid
KW - Multi-objective optimization
KW - Two-stage stochastic programming
UR - http://www.scopus.com/inward/record.url?scp=85120031798&partnerID=8YFLogxK
U2 - 10.1016/j.scs.2021.103573
DO - 10.1016/j.scs.2021.103573
M3 - Article
VL - 77
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
SN - 2210-6707
M1 - 103573
ER -
