Online performance tracking and load sharing optimization for parallel operation of gas compressors

Cortinovis, Andrea; Mercangöz, Mehmet; Zovadelli, Matteo; Pareschi, Diego; Marco, A. De; Bittanti, Sergio

doi:10.1016/j.compchemeng.2016.01.012

Cited by 34 publications

(23 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The pressure ratio Π is modeled as a polynomial function of ω and m c . Likewise, the polytropic efficiency η p is modeled as a polynomial function of ω and Π [2]:…”

Section: B Modeling a Single Compressormentioning

confidence: 99%

“…These compressor maps are typically provided by the manufacturer or they can be identified based on historical data [2]. The shaft power is calculated as…”

Section: B Modeling a Single Compressormentioning

confidence: 99%

“…Furthermore, compressors are assumed to be among the major energy consumers in many industrial processes such as air separation [1]. Consequently, optimal operation of compressors is of considerable interest [2], [3], [4]. The available studies have considered different applications, such as natural and supply gas systems, and different system setups, such as fixed-speed drivers, variablespeed dual-shaft gas turbines and variable-speed electrical drivers [2].…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, optimal operation of compressors is of considerable interest [2], [3], [4]. The available studies have considered different applications, such as natural and supply gas systems, and different system setups, such as fixed-speed drivers, variablespeed dual-shaft gas turbines and variable-speed electrical drivers [2]. In the present paper, we investigate the problem of optimal load sharing of parallel gas compressors in the presence of plant-model mismatch.…”

Section: Introductionmentioning

confidence: 99%

“…In the present paper, we investigate the problem of optimal load sharing of parallel gas compressors in the presence of plant-model mismatch. A load-sharing strategy based on on-line estimation of compressor performance followed by the solution of the load-sharing optimization problem is proposed in [2]. Similarly, in [4], static regression models of compressors are built and then used to compute the best load distribution.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimal load sharing of parallel compressors via modifier adaptation

Milosavljevic

Cortinovis

Marchetti

et al. 2016

2016 IEEE Conference on Control Applications (CCA)

Self Cite

View full text Add to dashboard Cite

Abstract-We discuss optimal load sharing of parallel gas compressors in the presence of plant-model mismatch. We formulate this problem as a static real-time optimization task and propose to tackle it by means of modifier adaptation. Under mild assumptions, the chosen approach guarantees optimal operating conditions upon convergence. Furthermore, we discuss how the specific problem structure can be exploited to estimate the plant gradients efficiently during process operation. Finally, we draw upon simulated case studies for two and six compressors to demonstrate the applicability and effectiveness of the proposed real-time optimization approach.

show abstract

“…The pressure ratio Π is modeled as a polynomial function of ω and m c . Likewise, the polytropic efficiency η p is modeled as a polynomial function of ω and Π [2]:…”

Section: B Modeling a Single Compressormentioning

confidence: 99%

“…These compressor maps are typically provided by the manufacturer or they can be identified based on historical data [2]. The shaft power is calculated as…”

Section: B Modeling a Single Compressormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal load sharing of parallel compressors via modifier adaptation

Milosavljevic

Cortinovis

Marchetti

et al. 2016

2016 IEEE Conference on Control Applications (CCA)

Self Cite

View full text Add to dashboard Cite

show abstract

Optimization of load sharing for parallel compressors using a novel hybrid intelligent algorithm

Cui²,

Huang

et al. 2020

Energy Science & Engineering

View full text Add to dashboard Cite

Compressor stations, which usually consist of multiple compressors in parallel, are installed to power natural gas travel in pipelines. Compressor station optimization, which should be expressed as a mixed integer nonlinear programming (MINLP) problem, makes economic sense for the entire gas transmission system. However, it has often been simplified as a nonlinear programming (NLP) or mixed integer linear programming (MILP) problem in previous research. Most of existing solutions are based on discretization and a genetic algorithm (GA). This paper addresses the general MINLP problem for compressor station optimization without simplification; a novel hybrid intelligent algorithm is proposed to solve this problem. The proposed algorithm, DWOA, leverages advantages of the whale optimization algorithm (WOA) and differential evolution (DE). The proposed algorithm can balance exploration and exploitation to find the global optimal solution. An approach to handling constraints is also presented, where the original problem model is reformulated to be continuous by expanding the flow rate range of the compressor. A case study is performed to illustrate the performance of this approach. Results show that the continuous reformulated model is easier to solve, and DWOA produces a satisfactory solution that differs from theoretical results by only 1.61%. In addition, DWOA demonstrates better accuracy and stability than WOA, DE, and DE‐WOA, another hybrid algorithm. Therefore, this solution has the potential to promote comprehensive compressor station optimization.

show abstract