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- W4289538558 abstract "Due to the strong coupling and multiple constraints of combined heat and power (CHP) generation in an integrated energy system (IES), the model predictive control (MPC) is widely adopted as the lower layer coordination controller. However, with the upgrade of capacity and the expansion of scale, centralized MPC (CMPC) is no longer capable of dealing with heavy-data, high dimensional IES optimization problem. To address this concern, distributed MPC (DMPC) is applied to coordinate the energy supply of CHP-IES. In view of the characteristics of CHP-IES, DMPC should be endowed with the capability of offset-free tracking and disturbance rejection. Hence, the disturbance augmentation method and the modification of objective function have been applied to facilitate each DMPC controller with the required abilities. Through simulation comparison with CMPC on the same theoretical model, the performance of modified cooperative DMPC (CDMPC) is on par with CMPC, while the computational burden is drastically relieved." @default.
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- W4289538558 date "2022-01-01" @default.
- W4289538558 modified "2023-10-14" @default.
- W4289538558 title "Distributed Model Predictive Coordinated Control for Combined Heat and Power Load of an Integrated Energy System" @default.
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- W4289538558 doi "https://doi.org/10.1016/j.ifacol.2022.07.088" @default.
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