Dr P MUNISEKHAR

@sietk.org

Assistant Professor
Siddharth Institute of Engineering & Technology (Autonomous)

Dr P MUNISEKHAR


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https://researchid.co/manamuni13

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment
5

Scopus Publications

13

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Optimising reactive power using a hybrid improved shuffled bat algorithm
    J. Gowrishankar, G. Balasundaram, J. Manikandan, D. Chandrakala, P. Munisekhar
    International Journal of Mathematical Modelling and Numerical Optimisation, 2023
  • Optimal Placement of Multiple DG Units With Energy Storage in Radial Distribution System by Hybrid Techniques
    Munisekhar P., G. Jayakrishna, N. Visali
    International Journal of Software Innovation, 2022
    In recent years, distributed generations (DGs) are extremely fast in detecting their location, which helps to satisfy the ever-increasing power demands. The placement of energy storage systems (ESSs) could be a substantial opportunity to enhance the presentation of radial distribution system (RDS). The major part of DG units in RDS deals with the detection of ideal placement and size of the DGs, which efficiently balance the power loss and voltage stability. The ideal location and size of ESSs are examined in standard IEEE-33 and 69 bus systems, which is important to reduce power losses. Nowadays, several algorithms or techniques are modified for the development of hybrid algorithms to improve the quality of DG allocation. In this research, a hybrid shuffled frog leap algorithm (SFLA) with ant lion optimizer (SFLA-ALO) is proposed for the optimal placement and size of the DG and ESS in the RDS to reduce power losses and maintain the stability of voltage. The performance of the proposed SFLA-ALO technique is compared with the implemented BPSO-SFLA technique.
  • Optimal Sizing and Assignment of Distributed Generation and Energy Storage System using Hybrid Techniques in Radial Distribution System
    Munisekhar Puthalapattu, Gadhamappagari Jayakrishnan, N. Visali
    International Journal of Intelligent Engineering and Systems, 2022
    : The relevance of Distributed Generation (DG) has grown in recent years as a result of rising commercial and industrial loads, which places greater demand on traditional sources due to a scarcity of natural resources. As a consequence, in order to fulfil the enormous load without jeopardizing natural resources, new power generation methods are required. The placement of Energy Storage Systems (ESSs) could be a huge chance to enhance the appearance of the distribution system. And DG is one of the most effective answers to the economic and ecological challenges of traditional sources. Some possibilities, it appears, need a large area and a significant expenditure. The optimal DG size and location decreases power loss, whereas the improper DG size and location increases loss due to excessive reverse flow from the load to the supply, causing protection issues. An Improved Shuffled Frog Leap Algorithm (ISFLA) with Reptile Search Algorithm (ISFLA-RSA) for the ideal placement and size of DG and ESS in the IEEE Radial Distribution System (RDS) is proposed in this study to minimize power losses and retain voltage magnitude. While related to the conventional Analytical Index Method and Whale Optimization Algorithm, the suggested ISFLA-RSA achieves loss reduction and voltage profile of 92.4766 % and 0.9729, respectively.
  • Strategic Integration of DG and ESS by using Hybrid Multi Objective Optimization with Wind Dissemination in Distribution Network
    P Munisekhar, G Jayakrishna, N Visali
    International Journal of Electrical and Electronics Research, 2022
    The importance of distributed generation (DG) has increased recently as a result of the growth in commercial and industrial loads, which has put more pressure on conventional energy sources and utilities. Alternative power generation methods that can handle the massive load without endangering the environment are therefore urgently needed. The installation of Energy Storage Systems (ESSs) may give a substantial opportunity to enhance the aesthetic appeal of the distribution system. DG is a practical substitute for conventional energy sources, which have drawbacks for both the economics and the environment. It goes without saying that there are situations in which a large amount of land and money are required. However, improper DG location or sizing increases safety issues because to the increasing power loss caused by larger reverse flow from the load to the supply. In order to reduce power losses and maintain voltage stability, the ideal location and dimensions for the DG and ESS in IEEE Radial Distribution systems are evaluated. To accomplish these objectives, a hybrid Shuffled Frog Leap Algorithm (SFLA) and Improved Firefly Algorithm (SFLA-IFFA) is suggested. The SFLA-IFFA produced better results in terms of the ideal location and DG size when compared to other existing algorithms.
  • Optimal sizing and placement of ESS in distribution system with renewable energy integration using multi-objective hybrid optimization technique
    Mr.P MuniSekhar, G. Jayakrishna, N. Visali
    Proceedings of the 2019 2nd International Conference on Power and Embedded Drive Control Icpedc 2019, 2019
    In this paper presents a methodology for optimal placement and sizing of Energy Storage ESS in distribution system with renewable energy integration using Multi-objective Hybrid optimization technique (ESS-MHO). It combines improved ant colony optimization (IACO) and chaotic cuckoo search (CCS) algorithm. It will provide an optimal ESS placement, sizing, and operation. The optimal planning determines where ESS will be located and sized by renewable and schedules the battery charging and discharging, while reducing total energy losses that are subject to technical constraint. The deployment of ESSs is a large avenue for maximize the efficiency of energy in distribution system, The optimum operation, particular placement, and size of the overall systems performance can be enhanced. It can facilitate peak energy demand fulfillment, enhancing the benefits for integration of renewable and Distributed energy sources, it aid management of energy quality, and to reduce the expansion costs of the distribution network.The multi-objective will be considered for appropriate selection of ESS, smart charge and discharging of ESS, selection, placement and operation as well as problems of power quality.

RECENT SCHOLAR PUBLICATIONS

  • Optimising reactive power using a hybrid improved shuffled bat algorithm
    PM J. Gowrishankar
    International journal of Mathematical Modelling and Numerical Optimisation … , 2023
    2023
    Citations: 2
  • Optimal Placement of Multiple DG Units With Energy Storage in Radial Distribution System by Hybrid Techniques
    NV Munisekhar P., G. Jayakrishna
    INTERNATIONAL JOURNAL OF SOFTWARE INNOVATION 11 (1), 24 , 2023
    2023
    Citations: 6
  • Strategic Integration of DG and ESS by using Hybrid Multi Objective Optimization with Wind Dissemination in Distribution Network
    GJNV P Munisekhar
    International Journal of Electrical and Electronics Research (IJEER) 10 (4 … , 2022
    2022
    Citations: 2
  • Optimal sizing and placement of ESS in distribution system with renewable energy integration using multi-objective hybrid optimization technique
    NV Munisekhar P., G. Jayakrishna
    2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC) , 2019
    2019
    Citations: 3
  • A Multi-Area Power System Control with Load Frequency Approached by an Adaptive Fuzzy Logic
    PM K. SHOBHA
    ijater 7 (Issue.15), 2910-2918 , 2015
    2015
  • Total Power Loss Reduction using a New Unified Power Flow Controller in a Distributed Power Systems
    PM K. V. GUNADIVYA
    ijatir 7 (09), 1661-1665 , 2015
    2015

MOST CITED SCHOLAR PUBLICATIONS

  • Optimal Placement of Multiple DG Units With Energy Storage in Radial Distribution System by Hybrid Techniques
    NV Munisekhar P., G. Jayakrishna
    INTERNATIONAL JOURNAL OF SOFTWARE INNOVATION 11 (1), 24 , 2023
    2023
    Citations: 6
  • Optimal sizing and placement of ESS in distribution system with renewable energy integration using multi-objective hybrid optimization technique
    NV Munisekhar P., G. Jayakrishna
    2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC) , 2019
    2019
    Citations: 3
  • Optimising reactive power using a hybrid improved shuffled bat algorithm
    PM J. Gowrishankar
    International journal of Mathematical Modelling and Numerical Optimisation … , 2023
    2023
    Citations: 2
  • Strategic Integration of DG and ESS by using Hybrid Multi Objective Optimization with Wind Dissemination in Distribution Network
    GJNV P Munisekhar
    International Journal of Electrical and Electronics Research (IJEER) 10 (4 … , 2022
    2022
    Citations: 2
  • A Multi-Area Power System Control with Load Frequency Approached by an Adaptive Fuzzy Logic
    PM K. SHOBHA
    ijater 7 (Issue.15), 2910-2918 , 2015
    2015
  • Total Power Loss Reduction using a New Unified Power Flow Controller in a Distributed Power Systems
    PM K. V. GUNADIVYA
    ijatir 7 (09), 1661-1665 , 2015
    2015