Optimization of a Fuel Cost and Enrichment of Line Loadability for a Transmission System by Using Rapid Voltage Stability Index and Grey Wolf Algorithm Technique

Rambabu, M.; Nuvvula, Ramakrishna S. S.; Muyeen, S. M.; Shezan, Sk. A.; Ishraque, Md. Fatin

doi:10.3390/su14074347

Cited by 11 publications

(3 citation statements)

References 36 publications

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“…In [15], the GEP analysis with different electricity scenarios for a mixed hydro-thermal and wind plants was performed which have impact in terms of costs and CO 2 emissions over the planning period. The carbon emissions have been added as an objective function as in [48].…”

Section: Literature Reviewmentioning

confidence: 99%

Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm

Abou El-Ela,

El-Sehiemy,

Shaheen

et al. 2024

Neural Comput & Applic

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Robust reliability Generation Expansion Planning (GEP) turns out to be a crucial step for an efficient energy management system in a modern power grid, especially under renewable energy employment. The integration of all such components in a GEP model makes it a large-scale, nonlinear, and mixed-variable mathematical modeling problem. In this paper, the presence of wind energy uncertainty is analyzed. Both long and short-term uncertainties are incorporated into the proposed GEP model. The first step concerns the impact of long-term wind uncertainties through the annual variations of the capacity credit of two real sites in Egypt at Zafaranh and Shark El-ouinate. The second step deals with the short-term uncertainties of each wind site. The wind speed uncertainty of each wind site is modeled by probability distribution function. Then, wind power is estimated from the wind power curve for each wind site and Monte-Carlo Simulation is performed. Fast Gas Turbine and/or Pump Hydro Storage are incorporated to cope with short-term uncertainties. Sensitivity analysis is implemented for 3, 6, and 12 stages as short and long planning horizons to minimize the total costs with wind energy penetration and emission reduction over planning horizons. Also, a novel Honey Badger Algorithm (HBA) with model modifications such as Virtual Mapping Procedure, Penalty Factor Approach, and the Modified of Intelligent Initial Population Generation is utilized for solving the proposed GEP problem. The obtained results are compared with other algorithms to ensure the superior performance of the proposed HBA. According to the results of the applicable test systems, the proposed HBA performs better than the others, with percentage reductions over CSA, AO, BES, and PSO ranging up to 4.2, 2.72, 2.7, and 3.4%, respectively.

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Section: Literature Reviewmentioning

confidence: 99%

Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm

Abou El-Ela,

El-Sehiemy,

Shaheen

et al. 2024

Neural Comput & Applic

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“…The Norton theorem and Thévenin's corresponding theorem can be utilized for Equation (20) with an ideal current source voltage source and with corresponding impedance, as shown in Figure 8 and formulated as…”

Section: The Voltage Stability Index Using the Euclidean Distance For...mentioning

confidence: 99%

“…In addition to the advantages of simplicity and the low computational effort required, local methods also provide very good insight into the voltage-collapse process and can easily be used for online system monitoring [4]. In terms of voltage stability, various long-term approaches are discussed in [20]. This study introduced the rapid voltage stability index, which is based on the Wolf algorithm, to enhance the optimal load capacity of a transmission system.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Long-Term Stability Estimation Based on Voltage Profile Assessment for a Power Grid

et al. 2023

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Load flow solutions refer to the steady-state stability of power systems and have a crucial role in the design and planning of slow-changing elements; e.g., in online tab changing actions, automatic generation control, over-excitation limiters and the power recovery characteristics of a load. Therefore, the purpose of this work was to show the connectivity between load flow analysis and long-term voltage stability using a generator model by introducing a novel voltage stability assessment based on the multi-machine dynamic model along with the load flow study for a power grid. The Euclidean distance (ED) was used to introduce a new voltage stability index based on the voltage phasor profile for real-time monitoring purposes. The effects of reactive power compensation, in addition to load-generation patterns and network topology changes in the system behavior, could be seen clearly on the voltage profiles of the buses. Thus, the increased values for the EDs of the buses’ voltage amplitudes—from 0 to around 1.5 (p.u.)—implied that the system was approaching the voltage collapse point, corresponding to the Jacobian matrix singularity of the load flow equation. Moreover, the weakest load bus with respect to any system change was also identified. Indeed, the criticality of any network interruption was in direct proportion to this voltage stability index. The proposed method was validated using the IEEE 118-bus test system.

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Feasibility analysis of e‐bus‐based transit system for sustainable urban mobility

Debnath,

Majumder,

2024

Env Prog and Sustain Energy

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Balancing the growing demand for mobility on congested city roads presents a significant challenge in urban areas. One potential solution is a shift towards electric‐based mass transit systems, moving away from personal vehicles. This shift would alleviate traffic congestion and reduce emissions caused by traditional transit systems. However, implementing large‐scale e‐mobility in developing countries has several challenges, including an unreliable electricity grid and limited power sources. Additionally, passenger comfort and system reliability are also raised concerns. Accomplishing sustainable e‐mobility in an urban scenario needs cost‐effective generation with controlled emissions. This study primarily computes power generation costs and emissions from plants like coal‐dominated and renewable energy resources. These two generation plant scenarios would help to understand the exact numbers of generation cost, emission reduction, and health cost reduction in case a nation plans to shift towards green energy. The analysis's findings demonstrate that using solar‐powered energy sources can reduce carbon pollution to 124.96 g/km while releasing relatively few additional pollutants. Furthermore, during 10 years from 2020 to 2030, the generating cost of e‐buses powered by solar PVs is a meager 0.93 million. The anticipated yearly costs for energy generation and health care are 0.875 million and 0.2 million in Indian rupees, respectively. All of these factors are predicted to have substantially reduced, making it clear that moving towards renewable resources in the future could lower overall health expenses and make energy more affordable.

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Optimization of a Fuel Cost and Enrichment of Line Loadability for a Transmission System by Using Rapid Voltage Stability Index and Grey Wolf Algorithm Technique

Cited by 11 publications

References 36 publications

Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm

Robust generation expansion planning in power grids under renewable energy penetration via honey badger algorithm

A New Approach for Long-Term Stability Estimation Based on Voltage Profile Assessment for a Power Grid

Feasibility analysis of e‐bus‐based transit system for sustainable urban mobility

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