Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510630
L. Raju, Kaviya Appaswamy, Janani Vengatraman, Antony Amalraj Morais
The objective of this paper is to develop a Multi Agent System (MAS) for advanced distributed energy management of a solar-wind interconnected micro-grid. This grid connected micro-grid also contains two solar Photo Voltaic (PV) systems, two Wind Turbines each contains a local consumer, a solar PV system and a battery unit. We also consider a Diesel Power Plant that provides considerable power. So, Initially we measure the load patterns, solar power, wind power generated in the two solar and wind units. Then we use Multi Agent System for advanced distributed energy management of this solar-wind micro-grid with smart grid frame work. We develop a simulation model in Java Agent Development Environment (JADE) for distributed, dynamic energy management, which considers the intermittent nature of solar power, wind power, randomness of load, dynamic pricing of grid and variation of critical loads and choose the best possible action every hour to stabilize and optimize the solar micro-grid. Furthermore, MAS increases the operational efficiency, due to decentralised approach and reduced timings. Thus MAS in solar micro-grid energy management leads to economic and environmental optimization. Simulated operation of solar generators and loads are studied by performing simulations under all possible agent objectives. Outcome of the simulation studies proves the effectiveness of proposed MAS in distributed energy management of solar-wind interconnected micro-grid.
本文的目标是开发一种多智能体系统(MAS)，用于太阳风互联微电网的先进分布式能源管理。这个连接微电网的电网还包含两个太阳能光伏(PV)系统，两个风力涡轮机每个包含一个当地消费者，一个太阳能光伏系统和一个电池单元。我们也考虑一个柴油发电厂，提供相当大的电力。所以，最初我们测量负荷模式，太阳能发电，风力发电在两个太阳能和风力发电单元中产生。在此基础上，采用多智能体系统对该智能电网框架下的太阳风微电网进行了先进的分布式能源管理。利用Java Agent Development Environment (JADE)开发分布式动态能源管理仿真模型，考虑太阳能、风能发电的间歇性、负荷的随机性、电网的动态定价和临界负荷的变化，每小时选择可能的最佳行动，实现太阳能微电网的稳定和优化。此外，由于分散的方法和减少的时间，MAS提高了作业效率。因此，MAS在太阳能微电网能源管理导致经济和环境的优化。在所有可能的智能体目标下，对太阳能发电机组和负荷的模拟运行进行了研究。仿真研究结果证明了该算法在太阳风互联微电网分布式能量管理中的有效性。
{"title":"Advanced energy management in virtual power plant using multi agent system","authors":"L. Raju, Kaviya Appaswamy, Janani Vengatraman, Antony Amalraj Morais","doi":"10.1109/ICEES.2016.7510630","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510630","url":null,"abstract":"The objective of this paper is to develop a Multi Agent System (MAS) for advanced distributed energy management of a solar-wind interconnected micro-grid. This grid connected micro-grid also contains two solar Photo Voltaic (PV) systems, two Wind Turbines each contains a local consumer, a solar PV system and a battery unit. We also consider a Diesel Power Plant that provides considerable power. So, Initially we measure the load patterns, solar power, wind power generated in the two solar and wind units. Then we use Multi Agent System for advanced distributed energy management of this solar-wind micro-grid with smart grid frame work. We develop a simulation model in Java Agent Development Environment (JADE) for distributed, dynamic energy management, which considers the intermittent nature of solar power, wind power, randomness of load, dynamic pricing of grid and variation of critical loads and choose the best possible action every hour to stabilize and optimize the solar micro-grid. Furthermore, MAS increases the operational efficiency, due to decentralised approach and reduced timings. Thus MAS in solar micro-grid energy management leads to economic and environmental optimization. Simulated operation of solar generators and loads are studied by performing simulations under all possible agent objectives. Outcome of the simulation studies proves the effectiveness of proposed MAS in distributed energy management of solar-wind interconnected micro-grid.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115792921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510587
P. Vivek, J. N. Gopal, V. Vignesh, T. Vigneshwaran
This paper proposes a new PWM generation scheme for the three phase five level cascaded multilevel inverter. The main objective of this paper to improve the power quality by using various multi-carrier PWM methods. Generally multi-carrier-based methods have been used widely for switching of multilevel inverters due to their simplicity, flexibility and reduced computational requirements compared to Space Vector Modulation (SVM) techniques. Several multi-carrier modulation methods with miscellaneous properties have been already known. While evaluating and comparing these methods, such as PD, POD and APOD through measures like total harmonic distortion (THD) the paper shows their advantages for applications of Cascade multi-level topologies by simulation results. Finally simulation results and experimental results are discussed.
{"title":"A novel approach on power quality improvement by multi-carrier multilevel inverter topology","authors":"P. Vivek, J. N. Gopal, V. Vignesh, T. Vigneshwaran","doi":"10.1109/ICEES.2016.7510587","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510587","url":null,"abstract":"This paper proposes a new PWM generation scheme for the three phase five level cascaded multilevel inverter. The main objective of this paper to improve the power quality by using various multi-carrier PWM methods. Generally multi-carrier-based methods have been used widely for switching of multilevel inverters due to their simplicity, flexibility and reduced computational requirements compared to Space Vector Modulation (SVM) techniques. Several multi-carrier modulation methods with miscellaneous properties have been already known. While evaluating and comparing these methods, such as PD, POD and APOD through measures like total harmonic distortion (THD) the paper shows their advantages for applications of Cascade multi-level topologies by simulation results. Finally simulation results and experimental results are discussed.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124448152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510654
Snehaprava Swain, P. K. Ray
A new control prospective is adopted in this paper to enhance the Fault Ride Through (FRT) capability of the variable speed Induction Generator along with a Crowbar protection circuit. The Induction Generator is a Doubly Fed Induction Generator (DFIG) used in a Wind Power Conversion System (WPCS). The DFIGs interconnected with the grid are very much sensitive to any disturbance in the grid. The stator of the generator is directly connected to the grid. Hence occurrence of any fault near the grid, immediately leads to a sag in the stator voltage of the generator causing overcurrents as well as overvoltages in the rotor windings. As a result there is a chance of damage of the partial fraction Rotor Side Converter (RSC) during fault. In order to protect the converter, here in this paper a new crowbar protection design is adopted along with the proposed control technique. The proposed strategy is validated through simulation results. The Simulations are carried out in MATLAB on a 1.7 MVA DFIG system and the effectiveness of the new protection design is verified.
{"title":"New control strategy with CB-P for improved FRT capability of grid-integrated DFIG based wind energy system","authors":"Snehaprava Swain, P. K. Ray","doi":"10.1109/ICEES.2016.7510654","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510654","url":null,"abstract":"A new control prospective is adopted in this paper to enhance the Fault Ride Through (FRT) capability of the variable speed Induction Generator along with a Crowbar protection circuit. The Induction Generator is a Doubly Fed Induction Generator (DFIG) used in a Wind Power Conversion System (WPCS). The DFIGs interconnected with the grid are very much sensitive to any disturbance in the grid. The stator of the generator is directly connected to the grid. Hence occurrence of any fault near the grid, immediately leads to a sag in the stator voltage of the generator causing overcurrents as well as overvoltages in the rotor windings. As a result there is a chance of damage of the partial fraction Rotor Side Converter (RSC) during fault. In order to protect the converter, here in this paper a new crowbar protection design is adopted along with the proposed control technique. The proposed strategy is validated through simulation results. The Simulations are carried out in MATLAB on a 1.7 MVA DFIG system and the effectiveness of the new protection design is verified.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114870007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510625
D. Maity, Sumit Banerjee, C. K. Chanda, Sabyasachi Samanta
This paper presents a novel modified teaching learning based optimization method(TLBO) i.e quasi-oppositional TLBO (QOTLBO) algorithms to solve economic load dispatch problem of the thermal plant without considering transmission losses. The offered methodology can manage ELD problems using nonlinearities such as valve point loading, ramp rate limit and prohibited zone. The objective of ELD problem is to evaluate the optimal power generation allocation of units to satisfy the load demand, and also the overall cost of generation should be minimized, and different operational constraints should be fulfilled. General TLBO, a newly appeared evolutionary algorithm depend on two basic ideas of education namely teaching phase and learning phase. The efficiency of the offered algorithms has been checked on test system with equality and inequality constraints. The result is compared with the other existing techniques which prove the efficiency of algorithms.
{"title":"Implementation of quassi-oppositional TLBO technique on economic load dispatch problem considering various generator constraints","authors":"D. Maity, Sumit Banerjee, C. K. Chanda, Sabyasachi Samanta","doi":"10.1109/ICEES.2016.7510625","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510625","url":null,"abstract":"This paper presents a novel modified teaching learning based optimization method(TLBO) i.e quasi-oppositional TLBO (QOTLBO) algorithms to solve economic load dispatch problem of the thermal plant without considering transmission losses. The offered methodology can manage ELD problems using nonlinearities such as valve point loading, ramp rate limit and prohibited zone. The objective of ELD problem is to evaluate the optimal power generation allocation of units to satisfy the load demand, and also the overall cost of generation should be minimized, and different operational constraints should be fulfilled. General TLBO, a newly appeared evolutionary algorithm depend on two basic ideas of education namely teaching phase and learning phase. The efficiency of the offered algorithms has been checked on test system with equality and inequality constraints. The result is compared with the other existing techniques which prove the efficiency of algorithms.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114882840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510652
M. Krishnan, R. Ramaprabha
As there is a power shortage across any country, usage of renewable energy sources is being encouraged nowadays. This energy produced has to be properly synchronized with the grid to ensure safety and energy continuity. In this paper, a step by step procedure for designing a MPPT algorithm based photovoltaic (PV) generation system is presented. Moreover, the standard procedure for grid interconnection of inverter is discussed. The developed system feeds a common load, as the micro grid systems feeds the local loads. The system takes care of all the specified guidelines while feeding the load and is compared with the IEC 61727 standards, which discuss the current harmonic limit for a grid tie inverter.
{"title":"Design and analysis of grid connected photovoltaic inverter under normal and fault conditions","authors":"M. Krishnan, R. Ramaprabha","doi":"10.1109/ICEES.2016.7510652","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510652","url":null,"abstract":"As there is a power shortage across any country, usage of renewable energy sources is being encouraged nowadays. This energy produced has to be properly synchronized with the grid to ensure safety and energy continuity. In this paper, a step by step procedure for designing a MPPT algorithm based photovoltaic (PV) generation system is presented. Moreover, the standard procedure for grid interconnection of inverter is discussed. The developed system feeds a common load, as the micro grid systems feeds the local loads. The system takes care of all the specified guidelines while feeding the load and is compared with the IEC 61727 standards, which discuss the current harmonic limit for a grid tie inverter.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116839414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510590
S. Narendiran, S. Sahoo, Raja Das, A. K. Sahoo
Solar Photovoltaic (PV) exploitation is a significant renewable energy source. The energy converted directly from sunlight through PV panel is not steady due to different solar intensity. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques can be used as a maximum power point tracking techniques. This paper proposes fuzzy logic controller (FLC) based MPPT method for the PV system under constant and varying climatic conditions. FLC-based MPPT is able to differ the PV operating voltage and seek for the maximum power that the PV panel can produce. The performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT. Simulation results demonstrate that the recital of FLC-based MPPT is better than unadventurous perturb and observe (P&O) MPPT.
{"title":"Fuzzy logic controller based maximum power point tracking for PV system","authors":"S. Narendiran, S. Sahoo, Raja Das, A. K. Sahoo","doi":"10.1109/ICEES.2016.7510590","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510590","url":null,"abstract":"Solar Photovoltaic (PV) exploitation is a significant renewable energy source. The energy converted directly from sunlight through PV panel is not steady due to different solar intensity. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques can be used as a maximum power point tracking techniques. This paper proposes fuzzy logic controller (FLC) based MPPT method for the PV system under constant and varying climatic conditions. FLC-based MPPT is able to differ the PV operating voltage and seek for the maximum power that the PV panel can produce. The performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT. Simulation results demonstrate that the recital of FLC-based MPPT is better than unadventurous perturb and observe (P&O) MPPT.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128448386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510613
Aalok Dyuti Saha, V. John
The effect of non-idealities of a high frequency class D amplifier on it's output voltage is analysed. Firstly individual non-idealities like dead time, MOSFET body-diode drop, MOSFET ON-State drop, finite turn-on and turn-off time, series resistance of inductor and capacitor of output stage filter are taken one at a time and their effect on output voltage is analysed. Then effect of all of these non-idealities and their inter-dependencies are analysed for all load conditions. A mathematical model considering the non-idealities to calculate the output voltage is derived. Also, a simple circuit model for an approximate analysis of practical class D amplifier with all non-idealities is derived. The error in the output voltage of the H-bridge for a sinusoidal input signal is numerically simulated. The model is then verified by simulation and hardware based experiments. A closed loop class D amplifier is developed which reduces the output voltage error by 78%.
{"title":"Analysis and modelling of non-idealities in high frequency class D amplifier","authors":"Aalok Dyuti Saha, V. John","doi":"10.1109/ICEES.2016.7510613","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510613","url":null,"abstract":"The effect of non-idealities of a high frequency class D amplifier on it's output voltage is analysed. Firstly individual non-idealities like dead time, MOSFET body-diode drop, MOSFET ON-State drop, finite turn-on and turn-off time, series resistance of inductor and capacitor of output stage filter are taken one at a time and their effect on output voltage is analysed. Then effect of all of these non-idealities and their inter-dependencies are analysed for all load conditions. A mathematical model considering the non-idealities to calculate the output voltage is derived. Also, a simple circuit model for an approximate analysis of practical class D amplifier with all non-idealities is derived. The error in the output voltage of the H-bridge for a sinusoidal input signal is numerically simulated. The model is then verified by simulation and hardware based experiments. A closed loop class D amplifier is developed which reduces the output voltage error by 78%.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131425335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510655
Gurunayk C. Nayak, Bhargav Kulakarni, G. S. Bhuvankumar, G. Chidanand
This paper considers case of parameter estimation in Polymer Electrolyte Membrane (PEM) fuel cell system, employing a simple observer. Many papers in literature are dealt with modeling, parameter identification and fault detection. But, uniqueness of these approach leys in using a simple algorithm generated based on observer. Improved state space averaged model of PEM fuel cell is considered for analysis. Effectiveness of proposed approach is shown through simulations in MATLAB/Simulink.
{"title":"Observer based parameter estimation in a PEM fuel cell: A simplified approach","authors":"Gurunayk C. Nayak, Bhargav Kulakarni, G. S. Bhuvankumar, G. Chidanand","doi":"10.1109/ICEES.2016.7510655","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510655","url":null,"abstract":"This paper considers case of parameter estimation in Polymer Electrolyte Membrane (PEM) fuel cell system, employing a simple observer. Many papers in literature are dealt with modeling, parameter identification and fault detection. But, uniqueness of these approach leys in using a simple algorithm generated based on observer. Improved state space averaged model of PEM fuel cell is considered for analysis. Effectiveness of proposed approach is shown through simulations in MATLAB/Simulink.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134532001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510626
I. Trivedi, Motilal Bhoye, Pradeep Jangir, Siddharth A. Parmar, Narottam Jangir, Arvind Kumar
In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic BAT Optimization Algorithm (BOA). BOA is inspired by the echolocation capability of micro-bats. BOA has a fast convergence rate. In order to solve the optimal power flow problem, standard IEEE-30 bus test system is used. BOA is implemented for the solution of proposed problem. The problems considered in the OPF problem are Fuel Cost Reduction, Voltage Deviation Minimization, and Voltage Stability Improvement. The results obtained by BOA is compared with other techniques such as Flower Pollination Algorithm (FPA) and Particle Swarm Optimizer (PSO). Results shows that BOA gives better optimization values as compared with FPA and PSO that confirms the effectiveness of the suggested algorithm.
{"title":"Voltage stability enhancement and voltage deviation minimization using BAT optimization algorithm","authors":"I. Trivedi, Motilal Bhoye, Pradeep Jangir, Siddharth A. Parmar, Narottam Jangir, Arvind Kumar","doi":"10.1109/ICEES.2016.7510626","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510626","url":null,"abstract":"In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic BAT Optimization Algorithm (BOA). BOA is inspired by the echolocation capability of micro-bats. BOA has a fast convergence rate. In order to solve the optimal power flow problem, standard IEEE-30 bus test system is used. BOA is implemented for the solution of proposed problem. The problems considered in the OPF problem are Fuel Cost Reduction, Voltage Deviation Minimization, and Voltage Stability Improvement. The results obtained by BOA is compared with other techniques such as Flower Pollination Algorithm (FPA) and Particle Swarm Optimizer (PSO). Results shows that BOA gives better optimization values as compared with FPA and PSO that confirms the effectiveness of the suggested algorithm.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122779971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-03-17DOI: 10.1109/ICEES.2016.7510617
G. Aadithya
With increasing interest in energy management in industries, the process of energy auditing has become convoluted. At present, there are no efficient tools to aid the non-value adding energy auditing. This paper presents a tool which will assuage the sophistication in addressing this major segment. Proposed energy auditing process is structured based on Energy Value Stream Mapping (EVSM) techniques. The effectiveness of the proposed technique has been validated using a test system with a maximum demand of 450kVA and 3.5% reduction in Energy consumption was reported.
{"title":"Application of energy value stream mapping as auditing tool for non-value added industrial energy management","authors":"G. Aadithya","doi":"10.1109/ICEES.2016.7510617","DOIUrl":"https://doi.org/10.1109/ICEES.2016.7510617","url":null,"abstract":"With increasing interest in energy management in industries, the process of energy auditing has become convoluted. At present, there are no efficient tools to aid the non-value adding energy auditing. This paper presents a tool which will assuage the sophistication in addressing this major segment. Proposed energy auditing process is structured based on Energy Value Stream Mapping (EVSM) techniques. The effectiveness of the proposed technique has been validated using a test system with a maximum demand of 450kVA and 3.5% reduction in Energy consumption was reported.","PeriodicalId":308604,"journal":{"name":"2016 3rd International Conference on Electrical Energy Systems (ICEES)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129457953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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