Saravanan B

Department of Electrical Engineering

School of Electrical Engineering

Vellore Campus

Cherukuri S.H.C

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

Frontiers in Energy

Journal of Energy Storage

Hybrid energy management strategy for residential consumers using virtual and actual storage systems

2018 National Power Engineering Conference (NPEC)

A Novel DSM strategy for micro grids consisting of higher penetration of water heater loads

The work presented in this paper proposes a new Demand side management (DSM) algorithm for residential users having higher penetration of heating/resistive loads. The proposed algorithm uses electric springs to operate the non-critical loads in power saving mode, so as to reduce the daily peak, ramping and energy bill paid by the consumers. In order to implement the suggested methodology it is assumed that all the non-critical loads present in the residential complex are fitted with electric springs. The quantum of the power to be saved is completely left to the consumers and the customers are given full independence to choose the required percentage saving in power, which in turn reduces the electricity bill paid by them. Further it should be noted that the proposed energy management scheme re-shapes the entire load curve and achieves energy saving without shifting the non-critical appliances to off-peak timings, which is something new to the literature. The robustness of the suggested algorithm is tested by considering a 24 hour load curve of a residential user and the simulation studies of the same are performed in MATLAB. © 2017 IEEE.

2017 14th IEEE India Council International Conference, INDICON 2017

A New Demand Side Management Scheme for Residential Consumers using Electric Springs

The work proposed in this article proposes a different energy management scheme for residential consumers having higher penetration of solar power and heating loads. The presented methodology assumes the heating loads present in the residence as non-critical loads and tries to operate them in power saving mode, whenever necessary. In the considered scheme non-critical loads are connected in series with AC electric springs which in turn schedule them as per the requirement. The major scope of this work is to make the non-critical loads consume lesser power by pressing springs into action in the presence of solar power. It is expected that the springs compliment the efforts of solar panels in reduction of power consumed from utility grid, daily peaks and energy purchase from the utility grid. In order to implement the proposed methodology a completely customer driven home energy management algorithm is proposed and the robustness of the same is tested on a residential consumer, considering a 24 load curve. The simulation studies for the projected methodology are performed in MATLAB. © 2018 IEEE.

2018 20th National Power Systems Conference, NPSC 2018

A New Choice Based Home Energy Management System Using Electric Springs

Sustainable Energy Technologies and Assessments

A novel energy management algorithm for reduction of main grid dependence in future smart grids using electric springs

Optimal location and size of distributed generation (DG) in the distribution system play a significant role in minimizing power losses, operational cost and improving voltage stability. This paper presents a new approach to find the optimal location and size of DG with an objective of minimizing network power losses, operational costs and improving voltage stability. Loss sensitivity factor is used to identify the optimal locations for installation of DG units. Bacterial Foraging Optimization Algorithm (BFOA) is used to find the optimal size of DG. BFOA is a swarm intelligence technique which models the individual and group foraging policies of the Escherichia coli bacteria as a distributed optimization process. The technical constraints of voltage and branch current carrying capacity are included in the assessment of the objective function. The proposed method has been tested on IEEE 33-bus and 69-bus radial distribution systems with various load models at different load levels to demonstrate the performance and effectiveness of the technique. © 2013 Elsevier B.V. © 2014 Elsevier Inc. © 2013ElsevierB.V. Allrightsreserved.

Swarm and Evolutionary Computation

Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization

In this paper, a new efficient method to solve the network reconfiguration with an objective of improving power loss minimization and voltage profile of the distribution system is presented. A new Meta-heuristics Fireworks Algorithm (FWA) is proposed to optimize the radial distribution network while satisfying the operating constraints. FWA is a recently developed swarm intelligence based optimization algorithm which is conceptualized using the fireworks explosion process of searching for a best location of sparks. Network reconfiguration is formulated as a complex combinatorial optimization problem. The radial nature of the system is secured by generating proper parent node-child node path of the network during power flow. To demonstrate the applicability of the proposed method, it is tested on a standard IEEE 33- and 119-bus system. The simulated results are compared with other methods available in the literature. It is observed that the performance of proposed method is better than the other methods in terms of quality of solutions. Different abnormal cases are also considered during reconfiguration of network to study the effectiveness of the proposed method and the results obtained are found to be encouraging. © 2014 Elsevier Ltd. All rights reserved.

International Journal of Electrical Power & Energy Systems

A new power system reconfiguration scheme for power loss minimization and voltage profile enhancement using Fireworks Algorithm

Electric Power Generation, Transmission, and Distribution: The Electric Power Engineering Handbook

Journal	Data powered by TypesetFrontiers in Energy
Publisher	Data powered by TypesetSpringer Science and Business Media LLC
ISSN	2095-1701
Open Access	0