A Hybrid Scheme for Fault Locating for Transmission Lines with TCSC

Nasab, Morteza Azimi; Zand, Mohammad; Hatami, Ali; Nikoukar, Fatemeh; Padmanaban, Sanjeevikumar; Kimiai, Amir Hossein

doi:10.1109/ipaps55380.2022.9763217

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…So, the frequency response of the IHPS model (i.e., overshoot, undershoot, rise time, and steady-state error) needs to be analyzed. A novel index is introduced in [31], [32], and [33] that evaluates changes in two indicators of frequency deviation and frequency response of inertia during a specific period following a disturbance. This index has the ability to quickly detect system instability and simultaneously provide a timely estimation of voltage instability in power systems.…”

Section: Motivationmentioning

confidence: 99%

Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System

Ganguly,

Mudi,

Mukherjee

et al. 2023

IEEE Access

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Access to reliable electricity is crucial for rural development and improving the quality of life in remote areas. Standalone photovoltaic PV systems and hybrid power systems HPS are promising solutions for rural electrification. However, frequency stabilization is a critical challenge in such systems, and conventional control techniques are inadequate. This work proposes a novel approach to optimize the PID controller gains for the standalone PV-based isolated HPS (IHPS). The student psychology-based optimization algorithm (SPBOA) and quasi-oppositional-based whale optimization algorithm (QOWOA) are employed to enhance the performance of the IHPS models separately. The objective function considered is the integral of time absolute error (ITAE), and the frequency response profile is studied in the presence of the proposed SPBOA and QOWOA-based PID controllers. The results show that the proposed SPBOA outperforms the QOWOA in terms of reducing the ITAE by nearly 5% and minimizing the peak and settling time of the frequency response by 5%-7% in different scenarios. The transient responses of the systems to different input conditions are also analyzed, indicating that both the IHPS-I and IHPS-II models are feasible for remote rural electrification. Overall, the proposed approach offers an efficient solution to optimize the PID controller gains for frequency stabilization in standalone PV and HPS. The results demonstrate the benefits of using the SPBOA and QOWOA algorithms to enhance the performance of the systems, making them suitable for remote rural electrification.INDEX TERMS Diesel engine generator; Isolated hybrid power system; Photovoltaic; Proportionalintegral-derivative; Wind turbine generator; quasi-oppositional-based whale optimization algorithm; student psychology-based optimization algorithm.

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Section: Motivationmentioning

confidence: 99%

Performance Analysis of Student Psychology-Based Optimization for the Frequency Control of Hybrid-Power System

Ganguly,

Mudi,

Mukherjee

et al. 2023

IEEE Access

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“…Then, a current error is obtained and sent to the current control loop, and the command signal of the switches is generated. Other methods in this field include the follower method [21] and drop control [22]. Reference [23] uses a PV-battery composite structure in a microgrid for home use.…”

Section: Introductionmentioning

confidence: 99%

Energy Management System for Smart Grid in the Presence of Energy Storage and Photovoltaic Systems

Kermani,

Jamshidi,

Mahdavi

et al. 2023

International Journal of Photoenergy

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Today, the desire to use renewable energy as a source of clean and available energy in the grid has increased. Due to the unpredictable behavior of renewable resources, it is necessary to use energy storage resources in the microgrid structure. The power generation source and the storage source in microgrids should be selected in such a way that it has the ability to respond to the maximum demand in the state connected to the grid and operate independently. In this article, the optimal capacity and economic performance of a microgrid based on photovoltaic and battery system have been investigated. In this way, first, using the iterative optimization method, the optimal microgrid capacity has been obtained. Then, the dynamic planning method has been used for optimal microgrid energy management. The simulation results show the accuracy and efficiency of the proposed solutions. The proposed controller, while automatically and dynamically adapting to the solar cell output changes, is capable of responding to external requests, such as price signals or satisfying power system constraints or operator requests. In addition, the results indicate that by using the proposed energy management system, the microgrid system can regain stability during one to two cycles, during the occurrence of PV system radiation changes as well as ESS charge changes. And also, according to the ESS charge changes, the voltage changes should be within the defined permissible range between 0.95 and 1.05 pu, which is the result of the unique efficiency of the proposed energy management system.

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