Data‐driven distributionally robust economic dispatch for park integrated energy systems with coordination of carbon capture and storage devices and combined heat and power plants

• DOI: 10.1049/rpg2.12436
• Publication Date: 2022-03-03T06:25:16Z
• Authors: Yuqi Wang; Song Gao; Wenhao Jia; Tao Ding; Zhengyang Zhou; Zekai Wang
• Keywords: Economic Dispatch; Cogeneration; Carbon fibers

Abstract Park integrated energy system (PIES) can utilize multiple resources complementarily and promote comprehensive efficiency. However, the uncertainty of renewable generation poses significant challenges to optimal operation PIES. This paper proposes a data‐driven distributionally robust optimization (DDRO) model for day‐ahead scheduling PIESs with coordination carbon capture storage devices (CCS) combined heat power plants (CHP). First, deterministic economic dispatch PIES was presented aim at minimizing total operating costs promoting photovoltaic (PV) accommodation. Then, DDRO developed based on historical data yield solution in worst PV output scenario, where confidence set is established consideration norm‐1 norm‐inf constraints. Furthermore, an efficient solving framework proposed combination column‐and‐constraint (C&CG) algorithm duality‐free decomposition method. Finally, case studies are carried out demonstrate effectiveness model.