Optimal parameter estimation of overhead transmission line considering different bundle conductors with the uncertainty of load modeling

Shaikh, Muhammad Suhail; Chen, Hua; Hassan, Mannan; Raj, Saurav; Jatoi, Munsif Ali; Ansari, Muhammad Mohsin

doi:10.1002/oca.2772

Cited by 28 publications

(12 citation statements)

References 59 publications

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“…For example, an in‐depth analysis has been presented on electric vehicle charging station infrastructure, policy implications, and future trends in Mastoi et al, 2 a study of charging‐dispatch strategies and vehicle‐to‐grid (V2G) technologies has been proposed for electric vehicles in distribution networks 3 . There are also some related studies in Shaikh and colleagues, 4–8 and interested readers can refer to these references.…”

Section: Introductionmentioning

confidence: 99%

An improved NSGA‐II for the dynamic economic emission dispatch with the charging/discharging of plug‐in electric vehicles and home‐distributed photovoltaic generation

Wu,

Zou,

Zhang

et al. 2024

Energy Science & Engineering

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This paper investigates four energy utilization scenarios with or without home‐distributed photovoltaic generation (HDPG) to reduce the generation cost and pollutant emission of the dynamic economic emission dispatch with the charging/discharging of plug‐in electric vehicles (DEED‐PEV). The first scenario considers valley filling for the charging of PEVs. The second scenario combines valley filling and peak shaving for the charging and discharging of PEVs. The third scenario adds peak shaving of HDPG to the first scenario, followed by the peak shaving with the discharging of PEVs. The fourth scenario rearranges the distribution of photovoltaic (PV) power for the third scenario, and the PV power in the afternoon is stored by a photovoltaic energy storage system (PESS) and consumed in the evening. A universal procedure is designed for the valley filling and peak shaving of the four scenarios, which is beneficial for determining the filled and shaved loads with respect to certain time intervals. An NSGA‐II method based on a modified crossover and an elimination of individuals (NSGA‐II‐MCEI) is proposed for the multiobjective optimization of DEED‐PEV. The modified crossover can improve the convergence of NSGA‐II‐MCEI, and the elimination operator can maintain the evenness of the nondominated solutions. According to experimental results, scenario 4 achieves cost savings of 95386.62 $, 85636.87 $, and 6776.85 $, respectively, for Scenarios 1, 2, and 3, and it reaches emission reductions of 27617.64 kg, 17252.71 kg, and 220.98 kg, respectively, for scenarios 1, 2, and 3. Also, scenario 4 outperforms the other three scenarios for three weather conditions such as sunny day, cloudy day, and rainy day.

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Section: Introductionmentioning

confidence: 99%

An improved NSGA‐II for the dynamic economic emission dispatch with the charging/discharging of plug‐in electric vehicles and home‐distributed photovoltaic generation

Wu,

Zou,

Zhang

et al. 2024

Energy Science & Engineering

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“…With the integration of Microgrids and distributed generation, there is a need to understand the importance of the effects of loads on the stability of power grids [3]. Currently, loads like an aggregate of Electric vehicle charging station loads [4,5] and variable air conditioning load [6][7][8][9] which contains the power electronics parts may cause instability in the system. So, the study of load modeling is crucial for the stability monitoring of power systems [10].…”

Section: Introductionmentioning

confidence: 99%

Measurement-based ZIP load modelling using opposition based differential evolution optimization

Kumar

Mallik

2023

Eng. Res. Express

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With the large integration of distributed generations, power grids are on the verge of instability if the generation and load side is not synchronized properly. To predict the load, a proper load model should be developed for the purpose of power system monitoring. The ZIP load model is considered in this work due to its simplicity. The parameter of the ZIP load corresponding to constant power, constant impedance, and constant current load must be estimated accurately for predicting the load behavior. In this paper, the measurements are being compared with the estimated value for estimating the load parameters using a suitable parameter tuning method. For ZIP load modeling Measurement-based parameter estimation is applied. In this paper, measurements are simulated by statistically infusing the Gaussian noise into the true value (obtained from the load flow study). The parameter-tuning algorithm iteratively feeds the error discovered from the comparison to determine the optimal solution. In this paper, Opposition-based differential evolution optimization (ODEO) is being proposed as a parameter tuning method for estimating the load parameters from the measurements collected at a given load bus. Measurement of the ZIP load is collected at bus 30 of the NE 39 Bus system after applying step disturbance of voltage at generator 4. The proposed ODEO method is validated and compared with the other tuning methods, like Particle Swarm optimization (PSO) and Grey Wolf optimization (GWO). The proposed ODEO method has a better performance as compared to PSO and GWO.

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“…With an increase in the number of electricity consumers over the past decade, the security of power systems has become very important, including the optimization of circuit parameters using various meta-heuristic optimization algorithms [1][2][3][4][5][6], power forecasting using supply and demand optimization algorithms (SDO) [7], and so on. The meta-heuristic algorithm that will appear in this paper, the DA, was proposed by Mirjalili S. et al [8] for application in various fields.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Leaky-ESN parameters based on dragonfly and whale algorithm

Gong,

Lun,

et al. 2023

Phys. Scr.

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In this research, we present a spiral flying mode-based dragonfly algorithm (DA-WOA). Since the traditional Dragonfly algorithm (DA) has a L e ̇ vy flight, the final results obtained are random in nature and have poor global search capability. Changing to a spiral flight pattern not only enlarges the search area but also makes it easy to find the optimal solution. The Swish function is also used to optimize the various flight coefficients of the DA to avoid the gradient descent approaching 0. Adding a fitness coefficient to the final position updating equation can better control the distance between dragonflies and natural enemies and thus find the optimal solution. The convergence speed of the DA-WOA algorithm and the superiority of the global search are verified by 13 test functions. In this paper, DA-WOA is applied to Leaky-ESN to optimize three parameters of the Leaky-ESN system, namely, the leakage rate (α), the spectral radius of the connectivity weight matrix (ρ), and the input scale factor (s in ). The experimental results demonstrate that DA-WOA has very strong prediction ability as well as very quick convergence speed for the predicted Sin and MG time series.

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Optimal parameter estimation of overhead transmission line considering different bundle conductors with the uncertainty of load modeling

Cited by 28 publications

References 59 publications

An improved NSGA‐II for the dynamic economic emission dispatch with the charging/discharging of plug‐in electric vehicles and home‐distributed photovoltaic generation

An improved NSGA‐II for the dynamic economic emission dispatch with the charging/discharging of plug‐in electric vehicles and home‐distributed photovoltaic generation

Measurement-based ZIP load modelling using opposition based differential evolution optimization

Optimization of Leaky-ESN parameters based on dragonfly and whale algorithm

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