GOPALAN. SRINIVASAN
@tec-edu.in
PROFESSOR & HoD - DEPARTMENT OF ELECTRICAL & ELECTRONICS ENGINEERING
THAMIRABHARANI ENGINEERING COLLEGE
EDUCATION
D.E.E.E. 1984-87 SHANMUGHA POLYTECHNIC, THANJAVUR-613402, TAMILNADU, INDIA
B.E 200-04 COLLEGE OF ENGINEERING, GUINDY, CHENNAI - 600025 TAMILNADU, INDIA
M.E 2006-09 B.S.A. CRESCENT ENGINEERING COLLEGE, VANDALUR, CHENNAI-600048 TAMILNADU, INDIA
Ph.D 2011-18 SRM VALLIAMMAI ENGINEERING COLLEGE, KATTANKULATHUR, CHENGELPUT(Dt.), TAMILNADU, INDIA
RESEARCH, TEACHING, or OTHER INTERESTS
Energy Engineering and Power Technology, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, Modeling and Simulation
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Lavanya M
El-Cezeri: Journal of Science and Engineering
Utilities have been forced to raise the overall efficiency towards a better position in radial distribution systems (DS). The literature has proved that reactive power compensation performs well in minimizing the power loss ( PLoss ) and enhancing the bus voltage profile within the permissible range in radial DSs. This work presents Archimedes optimization algorithm (AOA) to resolve the problem efficiently. The merit of this technique is that it can offer a global or near-global optimum for capacitor siting and sizing. The main intention of this study is to obtain annual financial benefit (AFB) using the placement and sizing of capacitors optimally. This can, however, be achieved by minimizing the objective function composed of cost-based PLoss and capacitor investment cost on radial DSs. The proposed technique has been tested on four renowned DS: the Indian 10-bus, modified 12-bus, IEEE 69-bus, and 94-bus Portugal system. The previously published papers are compared with the outcomes of AOA in terms of PLoss reduction and AFB and prove that AOA achieves better performance and more AFB.
G. Srinivasan, V. Mahesh Kumar Reddy, P. Venkatesh, and E. Parimalasundar
National Technical University Kharkiv Polytechnic Institute
Introduction. The need for electrical energy has been increased sharply due to hasty growth in industrials, social and economic improvements. From the previous studies, it has been agreed that almost 13 % of the total power generated is wasted as heat loss at distribution level. It has been extensively recognized that the node voltage profile along the distribution system can be enhanced under steady state power transfer controlled by proper reactive power compensation. Capacitors have been acknowledged as reactive power compensating device in distribution systems to achieve technical and economical benefits. Novelty of this work is the application of Archimedes optimization algorithm for reactive power optimization in distribution systems so as to obtain an improved solution and also a real 94-bus Portuguese network and modified 12-bus network has been taken and validated for three different load levels which are totally new. Purpose of the proposed work is to maximize the economic benefit by reducing the power loss and capacitor purchase cost at three different load conditions subject to satisfaction of equality and inequality constraints. Methods. The economic benefit has been validated using Archimedes optimization algorithm for three load levels considering three distribution systems. Results. The computational outcomes indicated the competence of the proposed methodology in comparison with the previously published works in power loss minimization, bus voltage enhancement and more economical benefit and proved that the proposed methodology performs well compared to other methods in the literature.
Srinivasan G and Lavanya M
Kaunas University of Technology (KTU)
Significant issues such as high-Power Loss (PLoss) and drop in node voltages in Electric Distribution Networks (EDNs) can be well mitigated using renowned techniques such as Alteration of Electric Distribution Network Switches (AEDNS), Optimal Capacitor Support (OCS), and Integration of Dispersed Generation (IDG), which are identified as the most economical and efficient approaches. This study presents the optimisation of AEDNS with and without OCS considering four different scenarios to maximise the profit through reduction in PLoss, which is regarded as the first-step process. To further increase profit, IDG was integrated into the EDNs after the combined optimisation of OCS and AEDNS. In this work, Levy Flight Mechanism (LFM) was incorporated into the Seagull Optimisation Algorithm (SOA) and applied to solve the objective function based on economics. The effectiveness of the presented methodology was evaluated and confirmed using a real 59-bus in Cairo, Egypt, EDN, as well as a conventional 33-bus test system. For each scenario, the PLoss reductions and net profit of the proposed methodology were contrasted with those obtained from previously reported approaches. The collected findings show that by optimising AEDNS, OCS, and IDG, the established methodology effectively yields more economic gain for all scenarios.
V. Shanmugasundaram, G. Srinivasan, and M. Lavanya
Chaoyang University of Technology (IJASE)
Utilities have been forced to raise the overall efficiency towards a better position in radial distribution systems (DS). From the literature, it has been proved that reactive power compensation performs well in minimizing the P Loss and enhancing the bus voltage profile within the permissible range in radial DSs. This work presents the salp swarm algorithm (SSA) to solve the problem efficiently. The merit of this technique is that it can offer a global or near-global optimum for capacitor siting and sizing. The main intention of this study is to obtain annual financial benefits using the placement and sizing of capacitors optimally. This can however be achieved by minimizing the objective function composed of cost-based power loss and capacitor cost on radial DS considering three different load levels. The proposed technique has been tested on standard IEEE 69 and modified 12 bus systems. Computational results are compared with the results obtained by the previous published work and proved that SSA can minimize the P Loss more effectively thereby financial benefit.
G. Srinivasan, K. Amaresh and Kumar Reddy Cheepati
Polish Academy of Sciences Chancellery
. Feeder reconfiguration (FR), capacitor placement and sizing (CPS) are the two renowned methods widely applied by the researchers for loss minimization with node voltage enrichment in the electrical distribution network (EDN), which has an immense impact on economic savings. In recent years, optimization of FR and CPS together can proficiently yield better power loss minimization and save costs compared to the individual optimization of FR and CPS. This work proposes an application of an improved salp swarm optimization technique based on weight factor (ISSOT-WF) to solve the cost-based objective function using CPS with and without FR for five different cases and three load levels, subject to satisfying operating constraints. In addition, to ascertain the impact of real power injection on additional power loss reduction, this work considers the integration of dispersed generation units at three optimal locations in capacitive compensated optimal EDN. The effectiveness of ISSOT-WF has been demonstrated on the standard PG&E 69-bus system and the outcomes of the 69-bus test case have been validated by comparing with other competing algorithms. Using FR and CPS at three optimal nodes and due to power loss reduction, cost-saving reached up to a maximum of 71%, and a maximum APLR of 26% was achieved after the installation of DGs at three optimal locations with the significant improvement in the bus voltage profile.
C. Kumar Reddy, G. Srinivasan, and B.S. Lokasree
IEEE
It is well known that reactive power compensation at optimal nodes, helps in reduction of $\\mathrm{I}^{2}\\mathrm{R}$ loss and enhancement in bus voltage in Power Distribution Network (PDN) thereby, improvement in efficacy. This work considers financial benefit as objective function to find the optimal nodes for capacitor location and sizing in PDNs. Salp-Swarm Algorithm (SSA) has been engaged to achieve the maximum financial benefit with least capacitor cost by reducing the power loss under three different load levels (75%, 100% and 125%). SSA has been employed to two small radial PDNs and the outcomes are tabulated with the existing results under two categories (Power loss and cost). Considering 10-Bus and 15-Bus PDN, It has been observed that a maximum financial benefit have been observed under light, medium and heavy load levels. It is apparent that SSA yields better $\\mathrm{I}^{2}\\mathrm{R}$ loss reduction and financial benefit for PDNs despite its simplicity.
G. Srinivasan and B.S. Lokasree
IEEE
In present days' scenario, it is obligatory for the Distribution System (DS) utilities to focus on reduction in Power Loss (PLoss) thereby efficiency improvement. Now-a-days many researches on cost-based power or energy loss reduction are being focused. This study presents Weight Factor based improved Salp Swarm Algorithm (ISSA-WF) for optimal placement and capacity determination of reactive power compensating device along the radial DSs which will assist in suppression of PLoss and improvement in bus voltage with maximum net cost saving subject to satisfying equality and inequality constraints. No sensitivity index has been adopted in this work to identify the weak buses that require compensation. The efficiency of the projected method has been validated using standard IEEE 33 bus and renowned Indian 118 bus radial DSs under three different load levels. The outcomes of ISSA-WF have been compared against existing methods available in the literature under two different categories (PLoss reduction based and PLoss reduction with cost based). From the simulated results, it has been evidenced that ISSA-WF effectively reduces the power loss with considerable improvement in cost saving.
G. Srinivasan
Informa UK Limited
Capacitor Allocation (CA) and Network Reconfiguration (NR) are the traditional methods extensively applied by the researchers for power loss reduction and node voltage improvement in radial Distribution Network (DN) for the past four decades. In recent years, simultaneous optimization of CA and NR is considered to maximize the power loss reduction in a proficient manner in comparison to individual optimization of CA and NR. To solve the objective functions, this work proposes an application of Autonomous Group Particle Swarm Optimization (AGPSO) by optimal allocation and sizing of capacitors with and without NR, under four different cases, subject to satisfying operating constraints. In addition, to ascertain the impact of real power injection on further power loss reduction, this work considers placement and sizing of Distributed Generation (DG) units from single to three optimal nodes in capacitive compensated optimal DN. This proposed methodology is demonstrated using standard IEEE 33 and 69 bus test system and the results obtained by each test case have been compared with other optimization techniques. A significant amount of power loss gets minimized after optimal DG allocation in reactive power compensated optimal DN.
G. Srinivasan and S. Visalakshi
Elsevier BV
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GRANT DETAILS
Automatic Idiyappam Maker Machine (UG Project 2019-23), Entrepreneurship Development & Innovation Institute, Ekkaduthangal, CHENNAI-32 Rs.2 L
CONSULTANCY
TECHNICAL PROJECT CONSULTANCY : NAPKIN PAD (Technology Transfer Partner : TEC) (Three Faculty members)
Industry, Institute, or Organisation Collaboration
M/s VENUS HOME APPLIANCES (P) LTD., TUTICORIN - 628103
M/s SESHASAYEE PAPER & BOARDS LTD., MUKKOODAL, TIRUNELVELI
INDUSTRY EXPERIENCE
1987 - 2004 ELECTRICAL EQUIPMENT MANUFACTURING INDUSTRIES TRAINEE TO MANAGER (R&D)