Economic model predictive control for building energy systems

Ma, Jingran; Qin, S. Joe; Li, Bo; Salsbury, Timothy I.

doi:10.1109/isgt.2011.5759140

Cited by 73 publications

(44 citation statements)

References 12 publications

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“…There are research efforts on minimizing the operating costs of BACS based on the predictions of electricity price while respecting thermal comfort constraints [45][46][47][48]. Nonetheless, the attentions of these proposals are only based on static electricity price.…”

Section: Electricity Price Policy For Energy Trading In Microgridsmentioning

confidence: 99%

A Novel Distributed Economic Model Predictive Control Approach for Building Air-Conditioning Systems in Microgrids

2018

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Abstract:With the penetration of grid-connected renewable energy generation, microgrids are facing stability and power quality problems caused by renewable intermittency. To alleviate such problems, demand side management (DSM) of responsive loads, such as building air-conditioning system (BACS), has been proposed and studied. In recent years, numerous control approaches have been published for proper management of single BACS. The majority of these approaches focus on either the control of BACS for attenuating power fluctuations in the grid or the operating cost minimization on behalf of the residents. These two control objectives are paramount for BACS control in microgrids and can be conflicting. As such, they should be considered together in control design. As individual buildings may have different owners/residents, it is natural to control different BACSs in an autonomous and self-interested manner to minimize the operational costs for the owners/residents. Unfortunately, such "selfish" operation can result in abrupt and large power fluctuations at the point of common coupling (PCC) of the microgrid due to lack of coordination. Consequently, the original objective of mitigating power fluctuations generated by renewable intermittency cannot be achieved. To minimize the operating costs of individual BACSs and simultaneously ensure desirable overall power flow at PCC, this paper proposes a novel distributed control framework based on the dissipativity theory. The proposed method achieves the objective of renewable intermittency mitigation through proper coordination of distributed BACS controllers and is scalable and computationally efficient. Simulation studies are carried out to illustrate the efficacy of the proposed control framework.

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Section: Electricity Price Policy For Energy Trading In Microgridsmentioning

confidence: 99%

A Novel Distributed Economic Model Predictive Control Approach for Building Air-Conditioning Systems in Microgrids

2018

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“…Advantages of MPC for building energy control are discussed in details in [22][23][24][25][26][27][28][29][30][31]. Authors in [32,33] reported results of MPC implementation on a real building and discuss its advantages and energy savings.…”

Section: Introductionmentioning

confidence: 98%

“…Thus, MPC is also used for the HVAC control framework in this study. All the previous studies [22][23][24][25][26][27][28][29][30][31] for building HVAC controls center on incorporating energy analysis for controller design. Our study investigates and compares energy-wise and exergy-wise MPC framework for building HVAC controls.…”

Section: Introductionmentioning

confidence: 99%

Optimal exergy control of building HVAC system

et al. 2015

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“…A number of studies have focused on linear statistical models where input and output data have linear forms. Autoregressive with exogenous variable (ARX) and autoregressive moving average with exogenous variable (ARMAX) are two examples of this approach [9], [10]. State-space modeling is another example of such an approach where model parameters are estimated over a number of specified system states [11], [12].…”

Section: Introductionmentioning

confidence: 99%