Entropy Generation Optimization in Couple Stress Fluid Flow with Variable Viscosity and Aligned Magnetic Field

Saini, Geetika; Hanumagowda, B. N.; Mulki, Hasan; Raju, S. Suresh Kumar; Varma, S. V. K.; Barghout, Kamal; Murshid, Nimer; Al‐Kouz, Wael

doi:10.3390/su15032493

Cited by 21 publications

(7 citation statements)

References 47 publications

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“…The mathematical model includes equations and variables [ [121] , [122] , [123] , [124] , [125] , [126] , [127] , [128] ]. Equations are in as non-linear and linear format [ [129] , [130] , [131] , [132] , [133] , [134] , [135] , [136] ]. Variables are as integer, binary and continuous [ [137] , [138] , [139] , [140] , [141] , [142] , [143] , [144] , [145] ].…”

Section: Problem Formulationmentioning

confidence: 99%

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

Weiwei,

Shaohui,

Sabzevari

2024

Heliyon

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Section: Problem Formulationmentioning

confidence: 99%

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

Weiwei,

Shaohui,

Sabzevari

2024

Heliyon

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“…The optimization formulation comprises an objective function [65][66][67][68][69]. Objective function includes min (max) term to clculate minimum (maximum) value of this function [70][71]. It expresses as single or multi-objective function [72][73].…”

Section: Vpp Constraintsmentioning

confidence: 99%

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Pirouzi

2023

IET Generation Trans & Dist

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Energy management of a virtual power plant (VPP) that consists of wind farm (WF), energy storage systems and a demand response program is discussed in the present study. The introduced strategy is realized at the electrical power transmission level and takes into account the collaboration between VPPs in day‐ahead energy and reserve markets. One notable feature of the proposed strategy is attempting to make the revenue of VPPs close to the operating cost of generating units as much as possible. The objective function is subjected to the network‐constrained unit commitment model, up and down reserve requirements and the proposed VPP constraints. This method is taking into account the uncertainty in system and VPP loads, day‐ahead market energy and reserve price and WF power generation. This strategy is applied as hybrid stochastic‐robust scheduling to the VPP at the electrical power transmission level, where the scenario‐based stochastic programming models the uncertainty of day‐ahead market prices, and the bounded uncertainty‐based robust optimization has been adopted to model the uncertainties related to the load and WF power. Scheme has been tested on IEEE systems. According to the obtained results, the proposed coordination of VPPs in the mentioned markets demonstrates capability of suggested strategy.

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“…The optimization formulation comprises an objective function [60][61][62][63][64]. Objective function includes min (max) term to calculate minimum (maximum) value of this function [65][66][67][68][69][70]. It expresses as single or multi-objective function [71][72][73][74][75][76].…”

Section: Formulation Of the Ibvpp Operationmentioning

confidence: 99%

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

Azarhooshang,

Rezazadeh

2023

IET Renewable Power Gen

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Virtual power plants (VPP) with resources and storages are able to control the active power of the network. They are also connected to the network through an inverter, which is capable of controlling reactive power. Therefore, it is expected that the optimal use of inverter‐based VPP can play an effective role in improving the economic and technical status of the distribution network. So, the operation of a smart distribution system is presented in this paper by considering inverter‐based VPPs constrained to the operator's measures. The weighted sum of expected energy loss (EEL) and voltage security index (VSI) is minimized while considering AC optimal power flow equations, restrictions of network's security, and operating model of the inverter‐based VPPs. Uncertainties with an origin of the amount of demand, renewable energy, and parameters of mobile energy storage are also discussed. The uncertainties are modelled using a stochastic optimization approach relying on the unscented transformation (UT). Evaluating inverter‐based VPP performance, providing models of flexible resources such as responsive loads and mobile storages, checking network voltage security status, and modelling uncertainties using the UT method are among the innovations of this study. According to the results, it is demonstrated that the technical situation of the distribution system is improved with the help of optimal management of the VPP. With energy management of the inverter‐based VPP, the suggested design has succeeded to enhance the operating status (voltage security) of the system by approximately 33–73% (12%) in comparison to power flow studies.

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Entropy Generation Optimization in Couple Stress Fluid Flow with Variable Viscosity and Aligned Magnetic Field

Cited by 21 publications

References 47 publications

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

What are the key stability challenges in high-bandwidth, non-minimum phase systems with time-varying, and non-smooth delays?

Network‐constrained unit commitment‐based virtual power plant model in the day‐ahead market according to energy management strategy

Energy management of distribution network with inverter‐based renewable virtual power plant considering voltage security index

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