Accurate estimation of cost function parameters for thermal power plants using a novel optimization approach

Askarzadeh, Alireza; Gharibi, Mahdi

doi:10.1080/15567036.2018.1514440

Cited by 12 publications

(11 citation statements)

References 12 publications

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“…They consist of the values of model parameters related to the best estimation obtained by the algorithms mentioned (WO, MWO, CMWO), statistical indexes corresponding to the objective function AES ( min (AES) , mean (AES) , max (AES) , and SD (AES) ), and average calculation time (CPU). Also, Tables show the results obtained using other algorithms (for example: LES, PSO, ABC, CS, RMO, MRMO, and CSA for model 1; LES, PSO, ABC, CS, TLBO, RMO, MRMO, and CSA for model 2, etc).…”

Section: Case Studies and Resultsmentioning

confidence: 99%

Parameter estimation using a modified whale optimization algorithm for input‐output curves of thermal and hydro power plants

Secui

Hora

Bendea

et al. 2019

Int Trans Electr Energ Syst

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Summary This paper presents a modified whale optimization (MWO) algorithm for solving the problem of parameters estimation for input‐output curves of thermal and hydro generating units that operates in power plants. In order to improve the MWO algorithm, a chaotic component based on logistic map is added. This new algorithm is called chaotic MWO (CMWO). Both MWO and CMWO algorithms have kept the structure of original whale optimization (WO) algorithm, but some characteristics regarding how the solutions positions are updated inside CMWO and MWO phases were modified. Estimation of curve parameters is an optimization problem. Its objective is to minimize the sum of absolute errors between actual values and estimated values. The efficiency of CMWO, MWO, and WO algorithms is tested either on polynomial models or on models that use nonsmooth functions. The results of CMWO algorithm are then compared with the ones obtained by other recently published algorithms.

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Section: Case Studies and Resultsmentioning

confidence: 99%

Parameter estimation using a modified whale optimization algorithm for input‐output curves of thermal and hydro power plants

Secui

Hora

Bendea

et al. 2019

Int Trans Electr Energ Syst

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“…The technological structure of a TPP can be represented by three main blocks: an electric generator, a steam turbine and a boiler unit [17][18][19]. An electric generator receives energy from mechanical motion from a steam turbine, which in turn receives energy from a boiler unit.…”

Section: Characteristicmentioning

confidence: 99%

Application of Methods of Balance Analysis for the Development of Digital Models for Managing the Production Assets of TPP

Lisin¹,

Parshina²,

Vasilieva³

2021

Proceedings of the 1st International Scientific Conference "Legal Regulation of the Digital Economy and Digital Relations: Prob

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The article examines the possibility of using the methods of balance analysis for the development of digital models for managing the production assets of thermal power plants. It is shown that the balance method is suitable for compiling universal input-output matrices, which can be used for a mathematical description of the expenditure of financial and material resources in the production process of a power plant. An economic and mathematical model of the production assets management system in the form of matrix equations of price, added value, output and supply of energy resources and products is proposed. The developed model provides dual links between economic and technological factors of production and allows organizing the management of production assets of a power plant directly according to the economic effect of their use.

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“…1 shows different smooth fuel cost curves. Entry to the unit is the total cost per hour F($/hr) and output is the net electrical power output of the unit P(MW) [7].…”

Section: Formulation Of the Problemmentioning

confidence: 99%

“…The objective function is to minimize the total absolute error (TAE), subject to the equality and inequality constraints [7].…”

Section: Figure 1 Convex Fuel Cost Curvesmentioning

confidence: 99%

“…[6] presented an implementation of the artificial bee colony (ABC) algorithm to estimate the fuel cost curve parameters of thermal power plants (TPP). In [7], the crow search algorithm (CSA) was recommended for estimating the fuel cost curve parameters for TPP with and without the valve point effect. In [8], a new approach was proposed for parameter estimation based on the cuckoo search (CS) algorithm.…”

Section: Introductionmentioning

confidence: 99%

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Investigation the Success of Semidefinite Programming for the Estimating of Fuel Cost Curves in Thermal Power Plants

Güvenç

Bakır²,

Duman³

2021

Politeknik Dergisi

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Accurate estimation of cost function parameters for thermal power plants using a novel optimization approach

Cited by 12 publications

References 12 publications

Parameter estimation using a modified whale optimization algorithm for input‐output curves of thermal and hydro power plants

Parameter estimation using a modified whale optimization algorithm for input‐output curves of thermal and hydro power plants

Application of Methods of Balance Analysis for the Development of Digital Models for Managing the Production Assets of TPP

Investigation the Success of Semidefinite Programming for the Estimating of Fuel Cost Curves in Thermal Power Plants

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