Optimal Set-Point Scheduling in a Boiler-Turbine System

Dieck-Assad,; Masada,; Flake,

doi:10.1109/mper.1987.5527414

Cited by 16 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For each objective function, only one of the two deviation terms is nonzero, that is always holds; therefore measures the underachievement, , and the overachievement, , of a goal. The NGP method minimizes a metric of the deviations from the target objectives, instead of directly minimizing the objective functions of the general formulation in (4). As the utility function method, the NGP formulation is in the form of a singleobjective problem, constrained by all the objective functions stated as goals, and can be solved numerically with any appropriate scalar optimization algorithm.…”

Section: B Nonlinear Goal Programmingmentioning

confidence: 99%

See 1 more Smart Citation

Multiobjective optimal power plant operation through coordinate control with pressure set point scheduling

Garduno-Ramirez

Lee

2001

IEEE Trans. On energy Conversion

View full text Add to dashboard Cite

Abstract-Coordinated control schemes, at fossil fuel power plants, drive units as a whole through a variable pressure operating policy. Ordinarily, the pressure control loop set-point is obtained from the unit load demand through a fixed nonlinear mapping that does not allow for process optimization under operating conditions different from the originals. This paper presents a procedure to optimally design the power-pressure mapping by defining and solving a multiobjective optimization problem. Both, procedure and mapping are realized as a supervisory set-point scheduler. The optimization problem is solved with the nonlinear goal programming method, which provides a single solution from the set of all multiobjective optimal solutions based on the assignment of relative preference values to the objective functions. This approach provides a way to specify the operating policy to accommodate a great diversity of operating scenarios. The procedure is presented through a case study, and its feasibility is demonstrated via simulation experiments.Index Terms-Multiobjective process optimization, operating scenario accommodation, power plant coordinated control, pressure set-point scheduling, relative preference values.

show abstract

Section: B Nonlinear Goal Programmingmentioning

confidence: 99%

“…In [4], sub-optimal setpoint values are calculated using the dynamic model of a power unit as a constraint for the optimization of a single objective function. In [5] a fuzzy inference system generates pressure set-points to minimize steam throttling losses during cyclic operation.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective optimal power plant operation through coordinate control with pressure set point scheduling

Garduno-Ramirez

Lee

2001

IEEE Trans. On energy Conversion

View full text Add to dashboard Cite

show abstract

“…PFDs for selected individual components were shown in Tables 6 and 7 The probability of an energy blackout for the MEG can be illustrated by compensating the individual component failure rates in Equation (5). It shows that the top event risk reduced 10 −4 times by utilizing the proposed IPL and SIF components, discussed in Section 3.5, where the PFD became 1.6114 × 10 −6 while it was originally 0.1992 for the conventional energy grids.…”

Section: Fault Tree For Megmentioning

confidence: 97%

“…A MEG is comprised of complex systems with varied response characteristics at various time-scales. Therefore, a hierarchical pattern is recommended for the control topology of such complex systems [5,6]. It includes an overall supervisory control independent protection layer (IPL), which determines the set-points of the significant operation parameters of the MEG based on energy demand.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Micro Energy Grid Protection Layers

Koraz

2017

Energies

View full text Add to dashboard Cite

Micro energy grids (MEGs) are used extensively to meet the combined electricity, heating, and cooling energy demands for all types of customers. This paper develops a hazard matrix for a MEG and utilizes two advanced risk modeling approaches (fault tree and layer of protection analysis (LOPA)) for MEGs' risk analysis. A number of independent protection layers (IPLs) have been proposed to achieve a resilient MEG, hence increasing its safety integrity level (SIL). IPLs are applied using co-generators and thermal energy storage (TES) techniques to minimize the hazards of system failure, increase efficiency, and minimize greenhouse gas emissions. The proposed modeling and risk assessment approach aims to design a resilient MEG, which can utilize those potentials efficiently. In addition, an energy risk analysis has been applied on each MEGs' physical domains such as electrical, thermal, mechanical and chemical. The concurrent objectives achieve an increased resiliency, reduced emissions, and sustained economy.

show abstract

“…To date, the control of a nonlinear drum-type boilerturbine system has been investigated by several researchers, such as Chen et al, Moon et al, Peng et al, Dieck-Assad et al, and others, suggesting a number of appropriate solutions in the area of the present system control [1][2][3][4]. The dynamic matrix control (DMC) scheme, as an efficient algorithm in the field of process control, is realized based on the multiple model approach.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Multi-multivariable Dynamic Matrix Control Scheme for a 160 MW Drum-type Boiler-Turbine System

Mazinan¹

2012

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-A 160 MW drum-type boiler-turbine system is developed in the present research through a multi-multivariable dynamic matrix control (DMC) scheme and a multi-multivariable model approach. A novel intelligence-based decision mechanism (IBDM) is realized to support both model approach and control scheme. In such case, the responsibility of the proposed IBDM is to identify the best multivariable model of the system and the corresponding multivariable DMC scheme to cope with the system at each instant of time in an appropriate manner.

show abstract

Optimal Set-Point Scheduling in a Boiler-Turbine System

Cited by 16 publications

References 0 publications

Multiobjective optimal power plant operation through coordinate control with pressure set point scheduling

Multiobjective optimal power plant operation through coordinate control with pressure set point scheduling

Risk Assessment of Micro Energy Grid Protection Layers

An Intelligent Multi-multivariable Dynamic Matrix Control Scheme for a 160 MW Drum-type Boiler-Turbine System

Contact Info

Product

Resources

About