Process systems opportunities in power generation, storage and distribution

Soroush, Masoud; Chmielewski, Donald J.

doi:10.1016/j.compchemeng.2012.06.027

Cited by 44 publications

(25 citation statements)

References 108 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of renewable energy resources offers notable environmental benefits by reducing dependence on fossil fuel resources and carbon emissions to the atmosphere [1]. Many countries and local governments have mandates for electricity utilities to significantly increase the portion of power generated from renewable resources as part of their energy portfolio.…”

Section: Introductionmentioning

confidence: 99%

Operational optimization and demand response of hybrid renewable energy systems

2015

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Operational optimization and demand response of hybrid renewable energy systems

2015

View full text Add to dashboard Cite

“…By submitting it into the dissipation inequality (16), then (19) follows as x(k),û i (k),d i (k) are independent.…”

Section: Proposition 1 System (18) Is Dissipative With Supply Ratementioning

confidence: 99%

“…Therefore, dissipativity conditions for all subsystems including individual buildings, BACS controllers and the pricing controller that allow the required microgrid-wide stability and performance condition in (34) need to be found during the offline design step. This is done by solving LMIs in (19) for dissipativity conditions for buildings (corresponding to the building model in (18)), feasibility conditions for individual EMPC controllers in (24), the dissipativity condition for the pricing controller in (28), and the dissipativity condition representing the microgrid-wide stability and performance in (39) simultaneously. The outcome of this step is the dissipativity conditions (more specifically, the supply rates Q φ c,i , S φ c,i and R φ c,i for the i-th controller) that individual EMPC controllers need to satisfy.…”

Section: Distributed Control Design and Implmentationmentioning

confidence: 99%

“…Proper coordination of microgrid users is necessary to attenuate excessive energy trading behaviors effectively. Advanced control methods, such as process control techniques, can be applied in this scenario to improve system-wide stability and performance [10,13,19,20]. Although some articles are published on the coordination of distributed controllers for microgrid applications [21][22][23], their nature of achieving economic optimum at an aggregation level makes them computationally complicated and not scalable for large scale systems, such as microgrids.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

2018

View full text Add to dashboard Cite

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.

show abstract

“…In turn, the energy management ensures the availability of the resources during longer time intervals, matching the total power production to the demand in an optimal way [17]. Accordingly, the energy management system of the MG (MG-EMS) establishes the reference commands for DER/loads controllers to make the whole system operate optimally, not only considering the current MG behavior, but also economical and technical constraints, environmental conditions, and external requirements [18], [19].…”

Section: Introductionmentioning

confidence: 99%

Online Energy Management Systems for Microgrids: Experimental Validation and Assessment Framework

Luna

Meng

Díaz

et al. 2018

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

Abstract-Microgrids are energy systems that can work independently from the main grid in a stable and self-sustainable way. They rely on energy management systems to schedule optimally the distributed energy resources. Conventionally, the main research in this field is focused on scheduling problems applicable for specific case studies rather than in generic architectures that can deal with the uncertainties of the renewable energy sources. This paper contributes a design and experimental validation of an adaptable energy management system implemented in an online scheme, as well as an evaluation framework for quantitatively assess the enhancement attained by different online energy management strategies. The proposed architecture allows the interaction of measurement, forecasting and optimization modules, in which a generic generation-side mathematical problem is modeled, aiming to minimize operating costs and load disconnections. The whole energy management system has been tested experimentally in a test bench under both grid-connected and islanded mode. Also, its performance has been proved considering severe mismatches in forecast generation and load. Several experimental results have demonstrated the effectiveness of the proposed EMS, assessed by the corresponding average gap with respect to a selected benchmark strategy and ideal boundaries of the best and worst known solutions.

show abstract

Process systems opportunities in power generation, storage and distribution

Cited by 44 publications

References 108 publications

Operational optimization and demand response of hybrid renewable energy systems

Operational optimization and demand response of hybrid renewable energy systems

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

Online Energy Management Systems for Microgrids: Experimental Validation and Assessment Framework

Contact Info

Product

Resources

About