Title of article :
Day-Ahead Economic Dispatch of Coupled Desalinated Water and Power Grids with Participation of Compressed Air Energy Storages
Author/Authors :
Jabari ، F. - University of Tabriz , Jabari ، F. - University of Tabriz , Mohammadi ivatloo ، B. - University of Tabriz , Mohammadi ivatloo ، B. - University of Tabriz , Bannae Sharifian ، M. B. - University of Tabriz , Bannae Sharifian ، M. B. - University of Tabriz , Ghaebi ، H. - University of Mohaghegh Ardabili , Ghaebi ، H. - University of Mohaghegh Ardabili
Abstract :
Nowadays, water and electricity are closely interdependent essential sources in human life that affect socio-economic growth and prosperity. In other words, electricity is a fundamental source to supply a seawater desalination process, while fresh water is used for cooling this power plant. Therefore, mutual vulnerability of water treatment and energy networks is growing because of increased potable water and electricity demands especially during extremely-hot summer days. In current paper, a novel optimization framework is proposed for short-term scheduling of water-energy nexus aiming to minimize total seawater desalination and electricity procurement cost while satisfying all operational constraints of conventional thermal power plants, co-producers and desalination units. Moreover, advanced adiabatic compressed air energy storage (CAES) with no need to fossil fuels can participate in energy procurement process by optimal charging during off-peak times and discharging at peak load hours. A mixed integer non-linear programming problem is developed under general algebraic mathematical modeling system with the aim of minimizing the water treatment cost of water only units and co-producers, total fuel cost of thermal power plants and co-generators. Ramp rates, water and power generation capacities and balance criteria have been considered as optimization constraints. It is found that without co-optimization of desalination and power production plants, load-generation mismatch occurs in both water and energy networks. By incorporating CAES in water-power grids, total fuel cost of thermal units and co-producers reduce from $1222.3 and $24933.2 to $1174.8 and $24636.8, respectively. In other words, application of CAES results in $343.9 cost saving in benchmark water-power hybrid grid.
Keywords :
Compressed air energy storage (CAES), Combined desalinated water and power (CDWP) generation systems, Day , ahead economic dispatch , Mixed integer nonlinear programming (MINLP)
Journal title :
Journal of Operation and Automation in Power Engineering
Journal title :
Journal of Operation and Automation in Power Engineering