Shweta Mehroliya
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Shweta Mehroliya has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Anoop Arya
Maulana Azad National Institute of Technology, Bhopal, India
5 shared publications - Anshul Verma
Department of Computer Science, Banaras Hindu University, Varanasi, India
2 shared publications - Shilpi Tomar
Samrat Ashok Technological Institute, Vidisha, India
2 shared publications Abhay Wagh
Directorate of Technical Education
1 shared publicationAnoop Arya
MANIT
1 shared publicationKaruna Nikum
TCET
1 shared publication
Latest Publications
- 18 February 2024
- Published by Springer Nature in Electrical Engineering
- Vol. 106 (2) , 1373-1389
Optimal planning of power distribution system employing electric vehicle charging stations and distributed generators using metaheuristic algorithm
- 18 February 2024
- Published by Springer Nature in Electrical Engineering
- Vol. 106 (2) , 1373-1389
Optimal planning of power distribution system employing electric vehicle charging stations and distributed generators using metaheuristic algorithm
- Open Access
- 1 February 2024
- Published by Association for Computing Machinery (ACM)
- p. 326-332
Two-Way Linked List Based Modified Load Flow Method for Radial Distribution System
This paper represents a novel two-way linked list-based modified load flow method for radial distribution systems. The proposed technique essentially uses the method of direct approach for basic power flow calculations. As it combines the method of direct approach and a “two-way linked list”, the proposed method is both computationally efficient as well as capable of tracking the direction of current flow in the feeders dynamically. The proposed method is quite able to take care of the changes in the configuration of the distribution system under study efficiently. The comparative study of simulation has been applied to four distribution test systems i.e. 10-bus, 13-bus, 33-bus, and 173-bus test systems, it is found that the accuracy of the developed technique is quite close to those obtained by the other methods reported in the literature while the speed of execution of this method is more than those obtained by the other reported methods. The comparative Simulation studies are carried out in MATLAB software and the developed method is found to be more accurate.
- 1 February 2024
- Published by Association for Computing Machinery (ACM)
- p. 326-332
Open AccessTwo-Way Linked List Based Modified Load Flow Method for Radial Distribution System
This paper represents a novel two-way linked list-based modified load flow method for radial distribution systems. The proposed technique essentially uses the method of direct approach for basic power flow calculations. As it combines the method of direct approach and a “two-way linked list”, the proposed method is both computationally efficient as well as capable of tracking the direction of current flow in the feeders dynamically. The proposed method is quite able to take care of the changes in the configuration of the distribution system under study efficiently. The comparative study of simulation has been applied to four distribution test systems i.e. 10-bus, 13-bus, 33-bus, and 173-bus test systems, it is found that the accuracy of the developed technique is quite close to those obtained by the other methods reported in the literature while the speed of execution of this method is more than those obtained by the other reported methods. The comparative Simulation studies are carried out in MATLAB software and the developed method is found to be more accurate.
- 24 October 2023
- Published by Wiley in Computer Applications in Engineering Education
- Vol. 32 (1)
Distributed generator and capacitor‐embedded reconfiguration in three‐phase unbalanced distribution systems using teaching learning‐based optimization
In the transmission and distribution networks, both active and reactive power play significant roles. While active power does the beneficial work, reactive power maintains the voltage that necessitates management from a system reliability perspective. The voltage variation from the nominal range may result in unintentional operation and early component failure. To maximize the amount of real power that can be transported over the power‐transmitting media, the system must also control reactive power flow. In a three‐phase unbalanced distribution system reinforced with distributed generator units (DGUs) and shunt capacitor units (SCUs), this paper suggests a teaching learning‐based optimization (TLBO) approach to be applied to combinatorial problems for simultaneous reduction of real power loss and net reactive power flow, enhance voltage stability index (VSI) and minimize aggregated voltage deviation index. A multiobjective formulation based on TLBO has been implemented to choose the ideal sizes and placements of DGUs and SCUs in large distribution networks. The case studies have been carried out on an IEEE 33‐bus standard system and a large 123‐bus unbalanced system. The analysis of the IEEE 33‐ and 123‐bus test systems reveals the economic efficiency of the suggested TLBO algorithm. Notably, by applying DG and capacitor simultaneously in the 33‐bus system, a significant reduction of 59.35%, 55.05%, and 50.76% (phases a, b, and c), and for the 123‐bus system, a significant reduction of 43.65%, 19%, and 48.65% (phases a, b, and c) in total active power losses have been achieved. The results suggest that the proposed method renders significant improvement in voltage stability and reduces power losses concerning the base case for both test systems.
- 24 October 2023
- Published by Wiley in Computer Applications in Engineering Education
- Vol. 32 (1)
Distributed generator and capacitor‐embedded reconfiguration in three‐phase unbalanced distribution systems using teaching learning‐based optimization
In the transmission and distribution networks, both active and reactive power play significant roles. While active power does the beneficial work, reactive power maintains the voltage that necessitates management from a system reliability perspective. The voltage variation from the nominal range may result in unintentional operation and early component failure. To maximize the amount of real power that can be transported over the power‐transmitting media, the system must also control reactive power flow. In a three‐phase unbalanced distribution system reinforced with distributed generator units (DGUs) and shunt capacitor units (SCUs), this paper suggests a teaching learning‐based optimization (TLBO) approach to be applied to combinatorial problems for simultaneous reduction of real power loss and net reactive power flow, enhance voltage stability index (VSI) and minimize aggregated voltage deviation index. A multiobjective formulation based on TLBO has been implemented to choose the ideal sizes and placements of DGUs and SCUs in large distribution networks. The case studies have been carried out on an IEEE 33‐bus standard system and a large 123‐bus unbalanced system. The analysis of the IEEE 33‐ and 123‐bus test systems reveals the economic efficiency of the suggested TLBO algorithm. Notably, by applying DG and capacitor simultaneously in the 33‐bus system, a significant reduction of 59.35%, 55.05%, and 50.76% (phases a, b, and c), and for the 123‐bus system, a significant reduction of 43.65%, 19%, and 48.65% (phases a, b, and c) in total active power losses have been achieved. The results suggest that the proposed method renders significant improvement in voltage stability and reduces power losses concerning the base case for both test systems.
- 8 September 2023
- Published by Springer Nature in SN Computer Science
- Vol. 4 (5) , 1-11
A Novel Hybrid GA-PSO Algorithm-Based Optimization of Transmission and Expansion Planning
- 8 September 2023
- Published by Springer Nature in SN Computer Science
- Vol. 4 (5) , 1-11
A Novel Hybrid GA-PSO Algorithm-Based Optimization of Transmission and Expansion Planning
- 22 August 2023
- Published by Springer Nature in SN Computer Science
- Vol. 4 (5) , 1-11
Optimized Placement of Distributed Generator in Radial Distribution System Using Whale Optimization Technique
- 22 August 2023
- Published by Springer Nature in SN Computer Science
- Vol. 4 (5) , 1-11
Optimized Placement of Distributed Generator in Radial Distribution System Using Whale Optimization Technique
- 22 May 2022
- Published by Springer Nature
- p. 957-989
Policies and Prospects to Promote Microgrids for Rural Electrification in Present Indian Scenario: A Comprehensive Review
- 22 May 2022
- Published by Springer Nature
- p. 957-989
Policies and Prospects to Promote Microgrids for Rural Electrification in Present Indian Scenario: A Comprehensive Review