A Combined Cycle Gas Turbine Model for Heat and Power Dispatch Subject to Grid Constraints

• Published in: IEEE transactions on sustainable computing Vol. 11; no. 1; pp. 448 - 456
• Main Authors: Rigo-Mariani, Remy, Zhang, Chuan, Romagnoli, Alessandro, Kraft, Markus, Ling, Keck Voon, Maciejowski, Jan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Carbon dioxide; Carbon dioxide emissions; Cogeneration; Combined cycle; Combined cycle power generation; Computer simulation; Electric power; Engineering Sciences; Gas turbines; Heat; Hybridization; Load modeling; MILP; Mixed integer; Optimal scheduling; Power dispatch; Resistance heating; Scheduling; security constrained unit commitment; Steam pipes; Thermal analysis; Turbines; Waste heat
• ISSN: 1949-3029; 2377-3782; 1949-3037; 2377-3790
• DOI: 10.1109/TSTE.2019.2894793

This paper investigates an optimal scheduling method for the operation of combined cycle gas turbines (CCGT). The objective is to minimize the CO2 emissions while supplying both electrical and thermal loads. This paper adopts a detailed model of the units in order to relate the heat and power outputs. The grid constraints as well as system losses are considered for both the electrical and thermal systems. Finally, the optimal power dispatch lies on the hybridization of a mixed integer linear programing scheduling with a greedy search method. Different sets of simulations are run for a small 5-bus test case and a larger model of Jurong Island in Singapore. Several load levels are considered for the heat demand, and the impact of the steam pipe capacities is highlighted.