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Prof. Angalaeswari Sendraya Perumal
Vellore Institute of Technology, Chennai

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0 Controllers
0 Distributed Generation
0 Optimization Algorithms
0 Micro grid and Renewable Energy
0 power loss minimization

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Micro grid and Renewable Energy
power loss minimization
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Distributed Generation

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Conference paper
Published: 20 February 2021 in Materials Today: Proceedings
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Today, there has been a rising concern and demand for electric vehicles due to the increase in price and pollution levels caused by non-renewable fossil fuels. Owing to this, the automobile industry is shifting production vehicles which run on electricity along with the traditional fuel gasoline (HEVs) and fully electric vehicles (EVs). One of the newer technological advancement in fuel source of EVs is the hydrogen Fuel Cell. Fuel Cells have more energy density than li-ion battery packs at higher energy levels, but their main drawback is that their output voltage is very low and need to be boosted up to power the EV. For this purpose, a bidirectional DC-DC converter is designed which acts like a high gain step up converter when fuel cell is powering the EV and a synchronous step-down converter when fuel cell is being charged from the high voltage battery pack or during regenerative braking is proposed and designed.

ACS Style

S. Angalaeswari; D. Subbulekshmi; T. Deepa; Krithiga S.; Ashutosh Jha. Bidirectional DC-DC converter for regenerative fuel cell electric vehicle. Materials Today: Proceedings 2021, 1 .

AMA Style

S. Angalaeswari, D. Subbulekshmi, T. Deepa, Krithiga S., Ashutosh Jha. Bidirectional DC-DC converter for regenerative fuel cell electric vehicle. Materials Today: Proceedings. 2021; ():1.

Chicago/Turabian Style

S. Angalaeswari; D. Subbulekshmi; T. Deepa; Krithiga S.; Ashutosh Jha. 2021. "Bidirectional DC-DC converter for regenerative fuel cell electric vehicle." Materials Today: Proceedings , no. : 1.

Conference paper
Published: 15 August 2020 in Materials Today: Proceedings
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With advances in Robotics, robots of different kinds are increasingly being used for scientific discoveries and unmanned missions ranging from Under ocean research to Extra-terrestrial exploration. Prominent missions that heavily used Robots include Exploration and Excavation, Unmanned Mining and Bomb defusal, Complex Terrain mapping and Geo-Surveying, Remote Surveillance and other Military activities. There are a various type of robots mainly classified on the basis of Control type – Autonomous, Semi-Autonomous and Manual; Locomotion Mechanism – Legged, Rover and Hybrid. While each type has its own advantages and drawbacks, the suitability of each type depends on its target application. This paper aims to design, develop and test an Autonomous robot, inspired from Biological evolution of Insects, suitable for unmanned exploration missions.

ACS Style

T. Deepa; S. Angalaeswari; D. Subbulekshmi; S. Krithiga; S. Sujeeth; Raja Kathiravan. Design and implementation of bio inspired hexapod for exploration applications. Materials Today: Proceedings 2020, 37, 1603 -1607.

AMA Style

T. Deepa, S. Angalaeswari, D. Subbulekshmi, S. Krithiga, S. Sujeeth, Raja Kathiravan. Design and implementation of bio inspired hexapod for exploration applications. Materials Today: Proceedings. 2020; 37 ():1603-1607.

Chicago/Turabian Style

T. Deepa; S. Angalaeswari; D. Subbulekshmi; S. Krithiga; S. Sujeeth; Raja Kathiravan. 2020. "Design and implementation of bio inspired hexapod for exploration applications." Materials Today: Proceedings 37, no. : 1603-1607.

Journal article
Published: 18 July 2020 in Sustainability
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This paper proposes the hybrid sequential quadratic programming (SQP) technique based on active set method for identifying the optimal placement and rating of distribution generation (DG) incorporated in radial distribution systems (RDS) for minimizing the real power loss satisfying power balance equations and voltage limits. SQP runs quadratic programming sequentially as a sub-program to obtain the best solution by using an active set method. In this paper, the best optimal solution is selected with less computation time by combining the benefits of both classical and meta-heuristic methods. SQP is a classical method that is more sensitive to initial value selection and the evolutionary methods give approximate solution. Hence, the initial values for the SQP technique were obtained from the meta–heuristic method of Parameter Improved Particle Swarm Optimization (PIPSO) algorithm. The proposed hybrid PIPSO–SQP method was implemented in IEEE 33-bus RDS, IEEE 69-bus RDS, and IEEE 118-bus RDS under different loading conditions. The results show that the proposed method has efficient reduction in real power loss minimization through the enhancement of the bus voltage profile.

ACS Style

S. Angalaeswari; P. Sanjeevikumar; K. Jamuna; Zbigniew Leonowicz. Hybrid PIPSO-SQP Algorithm for Real Power Loss Minimization in Radial Distribution Systems with Optimal Placement of Distributed Generation. Sustainability 2020, 12, 5787 .

AMA Style

S. Angalaeswari, P. Sanjeevikumar, K. Jamuna, Zbigniew Leonowicz. Hybrid PIPSO-SQP Algorithm for Real Power Loss Minimization in Radial Distribution Systems with Optimal Placement of Distributed Generation. Sustainability. 2020; 12 (14):5787.

Chicago/Turabian Style

S. Angalaeswari; P. Sanjeevikumar; K. Jamuna; Zbigniew Leonowicz. 2020. "Hybrid PIPSO-SQP Algorithm for Real Power Loss Minimization in Radial Distribution Systems with Optimal Placement of Distributed Generation." Sustainability 12, no. 14: 5787.

Chapter
Published: 16 May 2020 in Smart and Sustainable Planning for Cities and Regions
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In this period of proper usage of energy and economy, solar energy comes in scene which is abundant in nature. Converting this abundant energy into useable form will reduce the burden on other fossil fuels and at the same time increase our energy needs. In this paper, a system comprising of solar as the primary source and battery as backup has been modeled for the solar irrigation purpose where the conventional power supply may not available in rural areas. The energy derived from the cell is used to power the load. A DC-DC boost converter has been used to boost the voltage from solar and battery. A single-phase full-bridge inverter has been used between the DC-DC boost converter and the load to convert the DC voltage into AC voltage. Filter circuit has been proposed to reduce the harmonics in the inverter voltage. Since solar irradiation is variable in nature, a conventional proportional-integral (PI) controller has been implemented for the DC-DC boost converter, so as to make the output DC voltage as constant. The modeling has been done in MATLAB/Simulink, and simulation analysis has been done. In order to validate the performance of the system in real time, the system has been evaluated in OPAL RT software. Rapid control prototype (RCP) has been developed for improving the control strategies while reducing the risk, cost and time. The closed-loop feedback has been implemented using Arduino with real-time simulator. The simulation and real-time results show that the proposed system is highly suitable for the irrigation purpose and have effective and efficient results with variable irradiation.

ACS Style

S. Angalaeswari; Suvrasom Mookherjee; K. Jamuma. Real-Time Implementation of Solar-Based Water Irrigation System. Smart and Sustainable Planning for Cities and Regions 2020, 781 -793.

AMA Style

S. Angalaeswari, Suvrasom Mookherjee, K. Jamuma. Real-Time Implementation of Solar-Based Water Irrigation System. Smart and Sustainable Planning for Cities and Regions. 2020; ():781-793.

Chicago/Turabian Style

S. Angalaeswari; Suvrasom Mookherjee; K. Jamuma. 2020. "Real-Time Implementation of Solar-Based Water Irrigation System." Smart and Sustainable Planning for Cities and Regions , no. : 781-793.

Chapter
Published: 16 May 2020 in Smart and Sustainable Planning for Cities and Regions
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Nowadays, there has been an increasing concern and demand for renewable energy. The top contender for which is solar energy—it is cheap, available everywhere and readily convertible to useful electrical energy by photovoltaic panels. It has been estimated that for meeting the world’s power requirement, an area of the size of Spain is required to be covered completely with solar panels. Thus, in order to efficiently utilize this resource, various methods like MPPT, etc., are defined. By utilizing maximum power point tracking, we can utilize the energy that would be wasted from the solar panel by increasing or decreasing the duty cycle. For that, an efficient and stable power electronics converter is required. In this paper, the designing and testing of such a boost converter are discussed.

ACS Style

Ashutosh Jha; Anilanshu Singh; S. Angalaeswari. Design and Implementation of DC–DC Boost Converter for Solar Application. Smart and Sustainable Planning for Cities and Regions 2020, 773 -780.

AMA Style

Ashutosh Jha, Anilanshu Singh, S. Angalaeswari. Design and Implementation of DC–DC Boost Converter for Solar Application. Smart and Sustainable Planning for Cities and Regions. 2020; ():773-780.

Chicago/Turabian Style

Ashutosh Jha; Anilanshu Singh; S. Angalaeswari. 2020. "Design and Implementation of DC–DC Boost Converter for Solar Application." Smart and Sustainable Planning for Cities and Regions , no. : 773-780.

Journal article
Published: 27 April 2020 in Computers & Electrical Engineering
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In this paper, a robust Iterative Learning Controller (ILC) operating under autonomous and grid connected modes with variable generation and loading conditions has been proposed for maintaining a stable voltage and frequency of a microgrid. The microgrid was modeled with solar, wind, fuel cell, battery, and load. The simulation was carried out in MATLAB/Simulink and the results were compared with the performance of Proportional Integral Controller, Fuzzy Logic Controller, and Recurrent Neural Network Controller. The performance indices, such as Integral of Time Absolute Error, Integral of Time Squared Error, standard deviation, percentage overshoot of DC bus voltage, and execution time of controller, were evaluated to validate the performance of the proposed controller. The results show that the proposed ILC is more effective in controlling voltage and frequency when compared to other controllers.

ACS Style

S. Angalaeswari; K. Jamuna. Design and implementation of a robust iterative learning controller for voltage and frequency stabilization of hybrid microgrids. Computers & Electrical Engineering 2020, 84, 106631 .

AMA Style

S. Angalaeswari, K. Jamuna. Design and implementation of a robust iterative learning controller for voltage and frequency stabilization of hybrid microgrids. Computers & Electrical Engineering. 2020; 84 ():106631.

Chicago/Turabian Style

S. Angalaeswari; K. Jamuna. 2020. "Design and implementation of a robust iterative learning controller for voltage and frequency stabilization of hybrid microgrids." Computers & Electrical Engineering 84, no. : 106631.

Journal article
Published: 08 February 2020 in Energies
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A novel Set Point Weighting Iterative Learning Controller (SPW-ILC) has been proposed for voltage stabilization at AC/DC bus, coordinated control among the distributed sources in the modeled hybrid microgrid (HMG) and synchronization of HMG with utility grid. The Aichi Micro grid test system located at Aichi Institute of Technology, Japan has been considered for the simulation studies and modeled in MATLAB/Simulink environment. The Aichi microgrid can be operated in autonomous mode as AC system and DC system. When it is working as DC system, the dc bus voltage is maintained stable by incorporating dedicated fuzzy logic controllers (FLC) for DC-DC converters due to the variable distributed sources. Meanwhile, the bidirectional converter also called as Interlinking Converter (IC) located between ac bus and dc bus controlled by proposed SPW-ILC converts the DC voltage into AC voltage and meets AC loads. In AC system of autonomous mode, the inverters are controlled by proposed controller to meet the ac demands. The grid connected mode of Aichi microgrid system is performed by properly controlling the IC to meet ac and dc loads. The proposed SPW-ILC reduces the voltage deviation and maintains the power balance under variable source and load conditions. The results have been compared with the conventional proportional integral (PI) controller and FLC to validate the performance of the controller. The results show that the proposed SPW-ILC has efficiently control the voltage and maintain the power balance.

ACS Style

Angalaeswari Sendraya Perumal; Jamuna Kamaraj. Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller. Energies 2020, 13, 751 .

AMA Style

Angalaeswari Sendraya Perumal, Jamuna Kamaraj. Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller. Energies. 2020; 13 (3):751.

Chicago/Turabian Style

Angalaeswari Sendraya Perumal; Jamuna Kamaraj. 2020. "Coordinated Control of Aichi Microgrid for Efficient Power Management Using Novel Set Point Weighting Iterative Learning Controller." Energies 13, no. 3: 751.

Journal article
Published: 01 June 2017 in Energy Procedia
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ACS Style

S. Angalaeswari; O.V. Gnana Swathika; V. Ananthakrishnan; Febin Daya; K. Jamuna. Efficient Power Management of Grid operated MicroGrid Using Fuzzy Logic Controller (FLC). Energy Procedia 2017, 117, 268 -274.

AMA Style

S. Angalaeswari, O.V. Gnana Swathika, V. Ananthakrishnan, Febin Daya, K. Jamuna. Efficient Power Management of Grid operated MicroGrid Using Fuzzy Logic Controller (FLC). Energy Procedia. 2017; 117 ():268-274.

Chicago/Turabian Style

S. Angalaeswari; O.V. Gnana Swathika; V. Ananthakrishnan; Febin Daya; K. Jamuna. 2017. "Efficient Power Management of Grid operated MicroGrid Using Fuzzy Logic Controller (FLC)." Energy Procedia 117, no. : 268-274.

Book chapter
Published: 15 November 2016 in Lecture Notes in Electrical Engineering
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Now-a-days, Micro grid is getting more and more attractive due to its relative advantages. In this paper, the integration of distribution Generation (DG) into the radial distribution network is taken for analysis. Normal load flow analysis cannot be applied to the radial distribution network since the R/X ratio is very high. Hence Forward/Backward sweep load flow analysis is implemented to IEEE 33 bus system. Different distributed energy sources are introduced in different location with same ratings. The results prove that the introduction of DGs considerably reduces the active power loss in the test system and improves the voltage profile.

ACS Style

S. Angalaeswari; K. Jamuna. Active Power Loss Minimization in Radial Distributed Micro Grid Incorporating Distribution Generators. Lecture Notes in Electrical Engineering 2016, 353 -360.

AMA Style

S. Angalaeswari, K. Jamuna. Active Power Loss Minimization in Radial Distributed Micro Grid Incorporating Distribution Generators. Lecture Notes in Electrical Engineering. 2016; ():353-360.

Chicago/Turabian Style

S. Angalaeswari; K. Jamuna. 2016. "Active Power Loss Minimization in Radial Distributed Micro Grid Incorporating Distribution Generators." Lecture Notes in Electrical Engineering , no. : 353-360.

Conference paper
Published: 24 August 2016 in Advances in Intelligent Systems and Computing
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The optimal power flow has been considered as the important issue in the power system network. There are many ways to optimize the power flow out of which power loss minimization and voltage profile improvement are considered as the efficient ways. The power loss minimization for distributed system has been performed with particle swarm optimization (PSO) algorithm and the results are compared with forward/backward load flow method. The analysis is also performed with and without addition of renewable sources. The results show that the inclusion of DG at various buses reduces the power loss and improves the voltage magnitude profile.

ACS Style

S. Angalaeswari; K. Jamuna. Constrained Power Loss Minimization of DC Microgrid Using Particle Swarm Optimization. Advances in Intelligent Systems and Computing 2016, 379 -389.

AMA Style

S. Angalaeswari, K. Jamuna. Constrained Power Loss Minimization of DC Microgrid Using Particle Swarm Optimization. Advances in Intelligent Systems and Computing. 2016; ():379-389.

Chicago/Turabian Style

S. Angalaeswari; K. Jamuna. 2016. "Constrained Power Loss Minimization of DC Microgrid Using Particle Swarm Optimization." Advances in Intelligent Systems and Computing , no. : 379-389.