Dynamic Optimal Dispatch of Energy Systems with Intermittent Renewables and Damage Model

Rebecca Kim, Yifan Wang, Sai Pushpitha Vudata, Debangsu Bhattacharyya, Fernando V. Lima and Richard Turton
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Rebecca Kim: Department of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506, USA
Yifan Wang: Department of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506, USA
Sai Pushpitha Vudata: Department of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506, USA
Debangsu Bhattacharyya: Department of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506, USA
Fernando V. Lima: Department of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506, USA
Richard Turton: Department of Chemical and Biomedical Engineering, West Virginia University, P.O. Box 6102, Morgantown, WV 26506, USA

Mathematics, 2020, vol. 8, issue 6, 1-22

Abstract: With the increasing penetration of intermittent renewable energy sources into the grid, there is a growing need for process systems-based strategies that integrate dispatchable and variable energy systems for supplying the demand while maintaining grid reliability. The proposed framework corresponds to a dynamic mixed-integer linear programming optimization approach that integrates coal-fired and natural gas-fired power plants, NaS batteries for energy storage, and solar/wind energy to supply the demand. This optimization approach considers an economic goal and constraints to provide power balance while maintaining the overall damage of the natural gas combined cycle (NGCC) power plant drum under a maximum stress as well as avoiding the overheating of the NGCC superheater and reheater. Renewable curtailment levels are also retained at minimum levels. Case studies are analyzed considering different loads and renewable penetration levels. The results show that the demand was met for all cases. Grid flexibility was mostly provided by the NGCC, while the batteries were used sparingly. In addition, considering a CO 2 equivalent analysis, the environmental performance was intrinsically connected to grid flexibility and the level of renewable penetration. Stress analysis results reinforced the necessity for an equipment health-related constraint.

Keywords: dynamic MILP; intermittent renewables; power systems; damage model; fossil fuels; energy storage; NaS battery; optimal dispatch (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
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