Adaptive network architecture and firefly algorithm for biogas heating model aided by photovoltaic thermal greenhouse system

Singh, Gaurav; Jain, V. K.; Singh, Amanpreet

doi:10.1177/0958305x18768819

Cited by 31 publications

(30 citation statements)

References 34 publications

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“…Figure 5 shows that the relative dynamic elastic modulus loss is always less than 60% over repeated cycles at 5% granite. 18 The mass loss and modulus decrease are slightly better than those of the baseline material and meet the requirements (F50) of the technical specification in channel seepage control project standard GB/T50600-2010 for concrete used in mild, cold or severe cold areas (Table 3).…”

Section: The Effect Of Granite Powder On Macroscopic Propertiesmentioning

confidence: 56%

Effect of granite powder on properties of concrete

Zhang

Liu

Yue

et al. 2020

Asia-Pacific J Chem Eng

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Studies were conducted using varying proportions of granite powder in canal lining concrete to determine the effect on compression resistance, impermeability and freeze–thaw cycling. The concrete microstructure was assessed using mercury intrusion porosimetry, scanning electron microscopy, and other methods. The data indicate the appearance of pore throats and demonstrate that a granite content of 10%–20% reduces the concrete strength, frost resistance, and impermeability based on changes at the microscopic level. An equation describing the relationship between the granite powder content and pore structure parameters (porosity, 20‐ to 200‐nm pore volume, and fractal dimension) was established.

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Section: The Effect Of Granite Powder On Macroscopic Propertiesmentioning

confidence: 56%

Effect of granite powder on properties of concrete

Zhang

Liu

Yue

et al. 2020

Asia-Pacific J Chem Eng

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“…As mentioned before, the solutions such as , r C , r L  and  are optimized using FF algorithm [35] and [36]. This algorithm was introduced in the year 2008 by Xin-She.…”

Section: Standard Firefly Algorithmmentioning

confidence: 99%

An Optimal Design of LLC Resonant Converter using FireFly Algorithm based Parameter Optimization Approach

Sarath¹,

Sekar²

2019

JCMPS

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The development of power conversion technology is in constant demand due to high power efficiency and high power density. In the resonant converter, huge resonant converter topologies are available and among them, LLC converter is the most attractive one as it is capable of operating in the wide variation range of input voltage and load conditions. Apart from these advantages, LLC Resonant Converter (LLC-RC) suffers from drawbacks like power loss and voltage fluctuations. Thus, this paper intends to develop novel LLC-RC designs on the basis of the Parameter Optimization (PO) algorithm. The proposed model overcomes the major shortcoming by employing a non-conceptual model on the basis of the simulated outcome. The intelligent model is constructed under the start-up conditions with the literary outcomes achieved from the resonant current. As a novelty, the time constant of the resonant converter is optimized by Firefly algorithm (FF). The time constant is optimized on the basis of the objective model, which was obtained from the function of start-up time. The start-up time was diminished and the response speed of the output voltage was increased. Finally,

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“…Even if the TCSCs installation is extortionate, its price is low in contrast to the installation of storage devices. In a network, to include the TCSCs one must need to determine their optimal positioning and sizing [15] [26] have recommended the exploit of sensitivity index based on the performance of the real power index for the optimal positioning of FACTS devices. The technique comprises the determination of the optimal positioning in the TCSCs for CM.…”

Section: Introductionmentioning

confidence: 99%

Congestion Control of Deregulated Power Systems by Optimal Placement of TCSC using ESMO Algorithm

Singh¹

2019

JCMPS

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In the deregulated energy market, congestion represents a fundamental problem for the independent system operator. Moreover, it involves further cost and pretenses a risk to the security of the power system. In this paper, Optimal Power Flow (OPF) and Available Transfer Capability (ATC) based techniques are presented for allocating TCSC to ease the congestion exploiting the Congestion Rent Contribution (CRC) approach on the basis of the position marginal price. In bilateral transactions environment, to calculate the power transfer of dc distribution factors are exploited. The proposed Enhanced Spider Monkey Optimization (ESMO) method is used to deal with congestion in a pool electricity market. The Congestion Management (CM) is examined for contingency and normal because of the line outage and sudden load variation. The effectiveness of the proposed algorithm is examined on IEEE 57-bus as well as 30-bus test systems.

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Adaptive network architecture and firefly algorithm for biogas heating model aided by photovoltaic thermal greenhouse system

Cited by 31 publications

References 34 publications

Effect of granite powder on properties of concrete

Effect of granite powder on properties of concrete

An Optimal Design of LLC Resonant Converter using FireFly Algorithm based Parameter Optimization Approach

Congestion Control of Deregulated Power Systems by Optimal Placement of TCSC using ESMO Algorithm

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