Pub Date : 2017-11-01DOI: 10.1109/APPEEC.2017.8308967
M. Manohar, Sukanta Das, Rahul Kumar
This article proposes a new current sensor fault detection scheme for speed sensorless field oriented control (FOC) of induction motor drive (IMD). Detection of the faulty signal, isolation of the faulty sensor and reconfiguration by proper estimation are the three steps involved in the present fault tolerant control (FTC) scheme. Third-difference operator (TDO) is used here for the detection of the faulty current sensor while the concept of vector rotation is employed to estimate the stator current from the reference d-q current. A decision-making logic circuit does the task of isolating the faulty signal and reconfiguring the control scheme by estimated signal. Model reference adaptive system (MRAS) based on reactive power is applied for estimating the rotor speed to make the control scheme speed sensorless. The effectiveness of the proposed scheme is shown by MATLAB/Simulation study. The experimental results in dSPACE-1103 based IM drive further validate the performance of the proposed scheme.
{"title":"A robust current sensor fault detection scheme for sensorless induction motor drive","authors":"M. Manohar, Sukanta Das, Rahul Kumar","doi":"10.1109/APPEEC.2017.8308967","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308967","url":null,"abstract":"This article proposes a new current sensor fault detection scheme for speed sensorless field oriented control (FOC) of induction motor drive (IMD). Detection of the faulty signal, isolation of the faulty sensor and reconfiguration by proper estimation are the three steps involved in the present fault tolerant control (FTC) scheme. Third-difference operator (TDO) is used here for the detection of the faulty current sensor while the concept of vector rotation is employed to estimate the stator current from the reference d-q current. A decision-making logic circuit does the task of isolating the faulty signal and reconfiguring the control scheme by estimated signal. Model reference adaptive system (MRAS) based on reactive power is applied for estimating the rotor speed to make the control scheme speed sensorless. The effectiveness of the proposed scheme is shown by MATLAB/Simulation study. The experimental results in dSPACE-1103 based IM drive further validate the performance of the proposed scheme.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116951871","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308941
C. Singh, Hangtian Lei
Increasing complexity of the cyber-physical interdependencies can create new modes of wide spread failures. It is therefore important that tools be developed to simulate and analyze the impact of these failures on the reliability of the power grid. Without such simulations, the power grid of the future can suffer from degradation of reliability. This paper reviews recent work done in this area and describes an approach that can be used with existing reliability evaluation software to include such interdependencies.
{"title":"Cyberfication and its impact on power grid reliability","authors":"C. Singh, Hangtian Lei","doi":"10.1109/APPEEC.2017.8308941","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308941","url":null,"abstract":"Increasing complexity of the cyber-physical interdependencies can create new modes of wide spread failures. It is therefore important that tools be developed to simulate and analyze the impact of these failures on the reliability of the power grid. Without such simulations, the power grid of the future can suffer from degradation of reliability. This paper reviews recent work done in this area and describes an approach that can be used with existing reliability evaluation software to include such interdependencies.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117298970","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308905
S. Mandal, Trishala Pal Choudhuri, J. Bera
Advent of Demand Side Management (DSM) is an approach towards the “load demand follows the generation”, to create a flexible and resilient system supporting multidirectional flow of power where consumer acts as a crucial agent. Effective implementation of DSM needs an advanced ICT infrastructure and thorough knowledge of system loads. This paper provides a hardware prototype and customized software to establish two way communications between consumer and utility to keep the consumer cognizant about the load usage. It also helps the utility to create a baseline with which the DSM measures will be deployed. It provides an insight towards the consumers' awareness about their overall energy usage and the usage of the connected appliances at different time through a developed algorithm in MATLAB. The simulations of residential loads are performed using PSCAD/EMTDC software through which the variation in the load curves can be observed with the different combination of loads. Prediction of baseline in advance, together with the developed hardware and software helps to reduce the peak demand with the involvement of the consumers.
{"title":"Development of domestic load management scheme to participate in demand side integration","authors":"S. Mandal, Trishala Pal Choudhuri, J. Bera","doi":"10.1109/APPEEC.2017.8308905","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308905","url":null,"abstract":"Advent of Demand Side Management (DSM) is an approach towards the “load demand follows the generation”, to create a flexible and resilient system supporting multidirectional flow of power where consumer acts as a crucial agent. Effective implementation of DSM needs an advanced ICT infrastructure and thorough knowledge of system loads. This paper provides a hardware prototype and customized software to establish two way communications between consumer and utility to keep the consumer cognizant about the load usage. It also helps the utility to create a baseline with which the DSM measures will be deployed. It provides an insight towards the consumers' awareness about their overall energy usage and the usage of the connected appliances at different time through a developed algorithm in MATLAB. The simulations of residential loads are performed using PSCAD/EMTDC software through which the variation in the load curves can be observed with the different combination of loads. Prediction of baseline in advance, together with the developed hardware and software helps to reduce the peak demand with the involvement of the consumers.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115477933","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308991
Manaswi Srivastava, Jitendra Kumar Nama, A. Verma
A choice of logical converter topology plays a notable role in the battery charging of electric vehicles (EVs). In this paper, snubber less stage of rectifier cascaded with snubber less stage of the dc-dc converter is proposed in which stage I eliminates the need of front-end rectifier, and no further circuitry is required for switching operation of rectifier stage. Due to pulse width modulation (PWM) switches share the same gating signal for positive as well as negative cycle operation. Second stage converter uses asymmetrical pulse width modulation (APWM) technique in which zero voltage switching (ZVS) is achieved for all active switches, and near zero current switching (ZCS) for low side, active switches are attained during the charging range of the battery. The size of auxiliary inductance required is decreased for ZVS with APWM compared to previously proposed APWM with snubber circuitry. Due to a reduction in the size of auxiliary inductor and absence of snubber circuit results in an efficient battery charger topology. The MATLAB simulation is done of the proposed converter to validate the results.
{"title":"An efficient topology for electric vehicle battery charging","authors":"Manaswi Srivastava, Jitendra Kumar Nama, A. Verma","doi":"10.1109/APPEEC.2017.8308991","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308991","url":null,"abstract":"A choice of logical converter topology plays a notable role in the battery charging of electric vehicles (EVs). In this paper, snubber less stage of rectifier cascaded with snubber less stage of the dc-dc converter is proposed in which stage I eliminates the need of front-end rectifier, and no further circuitry is required for switching operation of rectifier stage. Due to pulse width modulation (PWM) switches share the same gating signal for positive as well as negative cycle operation. Second stage converter uses asymmetrical pulse width modulation (APWM) technique in which zero voltage switching (ZVS) is achieved for all active switches, and near zero current switching (ZCS) for low side, active switches are attained during the charging range of the battery. The size of auxiliary inductance required is decreased for ZVS with APWM compared to previously proposed APWM with snubber circuitry. Due to a reduction in the size of auxiliary inductor and absence of snubber circuit results in an efficient battery charger topology. The MATLAB simulation is done of the proposed converter to validate the results.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"36 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120994978","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8309006
Y. Kumar, R. Bhimasingu
Due to lack of kinetic energy, the power electronic inverters based renewable energy microgrids have no inherent inertia capability to address the power swings. This degrades the transient response in island or weak-grid connected operational modes during disturbances. To address this issue, an important evolution that has been cited in the literature is, design of droop control techniques with the capability of virtual inertia injection to strengthen the frequency response during transients. But, adaptivity and voltage response aspects have not been covered. So, to address these issues, this paper proposes modified droop control technique using fuzzy logic based injection of adaptive virtual moment of inertia. The philosophy involved in the design is, varying the p-w and q-v droop coefficients adaptively with respect to frequency and voltage deviations occurred during disturbances. So, the droop controller can efficiently cope-up with disturbances and provide better frequency/voltage response during transients. The efficacy of the proposed technique is analyzed using MATLAB/Simulink®. From results, it is seen that the proposed technique improved voltage and frequency transient response over the conventional technique by providing adaptive control action during disturbances in microgrids.
{"title":"Fuzzy logic based adaptive virtual inertia in droop control operation of the microgrid for improved transient response","authors":"Y. Kumar, R. Bhimasingu","doi":"10.1109/APPEEC.2017.8309006","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8309006","url":null,"abstract":"Due to lack of kinetic energy, the power electronic inverters based renewable energy microgrids have no inherent inertia capability to address the power swings. This degrades the transient response in island or weak-grid connected operational modes during disturbances. To address this issue, an important evolution that has been cited in the literature is, design of droop control techniques with the capability of virtual inertia injection to strengthen the frequency response during transients. But, adaptivity and voltage response aspects have not been covered. So, to address these issues, this paper proposes modified droop control technique using fuzzy logic based injection of adaptive virtual moment of inertia. The philosophy involved in the design is, varying the p-w and q-v droop coefficients adaptively with respect to frequency and voltage deviations occurred during disturbances. So, the droop controller can efficiently cope-up with disturbances and provide better frequency/voltage response during transients. The efficacy of the proposed technique is analyzed using MATLAB/Simulink®. From results, it is seen that the proposed technique improved voltage and frequency transient response over the conventional technique by providing adaptive control action during disturbances in microgrids.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121131660","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308969
E. A. Kumar, Garapati Satyanarayanat
A nine-switch inverter has been used to power two independent loads operating at different frequencies. However fast switching of inverter results in high peak-to-peak common-mode voltages (CMVpeak−peak) for both the loads. The common-mode voltage (CMV) reduces the life of bearings and winding insulation of loads. CMV analysis of nine-switch inverter shows that during zero states the CMV is at its peak value. This paper presents an eleven-switch topology to reduce this peak CMV value during zero states. Two extra switches are inserted in between the dc link and nine-switch topology. The first additional switch, which is called positive-switch, is inserted between positive DC bus and inverter top terminal. The second extra switch, which is called negative switch, is inserted between negative DC terminal and inverter input bottom node. Control logic is proposed to reduce the CMV of both the loads during zero states. During zero states either bottom load, top load or both the loads are isolated from the DC-link by turning OFF the positive switch, the negative switch or both the switches, respectively. The feasibility of the technique has been verified through simulation results. The CMV performance of proposed topology is better than the nine-switch topology without affecting other parameters like line voltage, phase voltage, load current.
{"title":"An eleven-switch inverter topology supplying two loads for common-mode voltage mitigation","authors":"E. A. Kumar, Garapati Satyanarayanat","doi":"10.1109/APPEEC.2017.8308969","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308969","url":null,"abstract":"A nine-switch inverter has been used to power two independent loads operating at different frequencies. However fast switching of inverter results in high peak-to-peak common-mode voltages (CMVpeak−peak) for both the loads. The common-mode voltage (CMV) reduces the life of bearings and winding insulation of loads. CMV analysis of nine-switch inverter shows that during zero states the CMV is at its peak value. This paper presents an eleven-switch topology to reduce this peak CMV value during zero states. Two extra switches are inserted in between the dc link and nine-switch topology. The first additional switch, which is called positive-switch, is inserted between positive DC bus and inverter top terminal. The second extra switch, which is called negative switch, is inserted between negative DC terminal and inverter input bottom node. Control logic is proposed to reduce the CMV of both the loads during zero states. During zero states either bottom load, top load or both the loads are isolated from the DC-link by turning OFF the positive switch, the negative switch or both the switches, respectively. The feasibility of the technique has been verified through simulation results. The CMV performance of proposed topology is better than the nine-switch topology without affecting other parameters like line voltage, phase voltage, load current.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117098437","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308924
J. Das, R. Banerjee
Modelling and forecasting of solar insolation and wind speed are extremely important in the design and operation of decentralized power generation systems like microgrids. For Indian conditions with varied geographic features, wind speed temporal dynamics are highly characterized by intermittency, due to weather and climatic changes. Modelling of wind speed is done for accurate prediction under different time regimes. Time series models are the most commonly used, for modelling and forecasting due to its simplicity. They easily capture the statistical properties of the data, with medium term forecasting of hours to day ahead with reasonable accuracy. Models such as ARMA and ARIMA have already been used for midterm forecasting for wind speed, and solar insolation data. Analysis of long term temporal and spatial variability of wind speed data is useful for modelling wind related phenomena and quantification of long term wind potential in a location. Detrended Fluctuation Analysis (DFA) is a method to quantify long range correlations in non-stationary time series. This paper describes a Fractional Autoregressive Moving Average (FARIMA) Model applied to a non-stationary wind speed data for a year at a location in Maharashtra. This model combines conventional modelling technique with long term temporal characteristics of the data. Model results provide information related to autocorrelation properties of the given data. The midterm forecasting results are compared with conventional persistence, ARMA and ARIMA Models to highlight the application suitability.
{"title":"Estimation of long range correlations and FARIMA modelling of wind speed in Maharashtra","authors":"J. Das, R. Banerjee","doi":"10.1109/APPEEC.2017.8308924","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308924","url":null,"abstract":"Modelling and forecasting of solar insolation and wind speed are extremely important in the design and operation of decentralized power generation systems like microgrids. For Indian conditions with varied geographic features, wind speed temporal dynamics are highly characterized by intermittency, due to weather and climatic changes. Modelling of wind speed is done for accurate prediction under different time regimes. Time series models are the most commonly used, for modelling and forecasting due to its simplicity. They easily capture the statistical properties of the data, with medium term forecasting of hours to day ahead with reasonable accuracy. Models such as ARMA and ARIMA have already been used for midterm forecasting for wind speed, and solar insolation data. Analysis of long term temporal and spatial variability of wind speed data is useful for modelling wind related phenomena and quantification of long term wind potential in a location. Detrended Fluctuation Analysis (DFA) is a method to quantify long range correlations in non-stationary time series. This paper describes a Fractional Autoregressive Moving Average (FARIMA) Model applied to a non-stationary wind speed data for a year at a location in Maharashtra. This model combines conventional modelling technique with long term temporal characteristics of the data. Model results provide information related to autocorrelation properties of the given data. The midterm forecasting results are compared with conventional persistence, ARMA and ARIMA Models to highlight the application suitability.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121401821","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308978
Lagineni Mahendra, Rajesh Kalluri, M. S. Rao, R. K. S. Kumar, B. Bindhumadhava
Indian Electricity act introduced the open access system to avoid the monopoly in the power system. Open access system made the users get power at cheaper cost, but at month(s) ahead estimating the required power quantum of 96-time blocks (15 minutes each) of the day became a major challenge for the users. Required quantum depends on various parameters like area i.e., industrial area, residential area, agricultural area, day of the week i.e., weekday, weekend, public holiday, time of the day i.e., peak hours, non-peak hours, weather i.e., summer, winter, cloudy, rainy etc. and combinations of all these parameters. Some of these parameters like the area and week of the day are certain but some parameters like the exact weather are not certain in advance. Any advance estimation of the load with uncertain parameters is bound to be inaccurate, but the users will lose out on the opportunity of getting assured allocation if they don't participate in the open access in advance. The inaccuracy of forecasting the load in advance is bringing losses to the open access users in the form of hefty penalties for deviating from the original schedule. These deviations, in turn, cause power grid instability. This paper presents a strategy of forecasting the load and participating in the Short Term Open Access at various stages to minimize the losses for the users and to maintain the grid stability.
{"title":"Leveraging forecasting techniques for power procurement and improving grid stability: A strategic approach","authors":"Lagineni Mahendra, Rajesh Kalluri, M. S. Rao, R. K. S. Kumar, B. Bindhumadhava","doi":"10.1109/APPEEC.2017.8308978","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308978","url":null,"abstract":"Indian Electricity act introduced the open access system to avoid the monopoly in the power system. Open access system made the users get power at cheaper cost, but at month(s) ahead estimating the required power quantum of 96-time blocks (15 minutes each) of the day became a major challenge for the users. Required quantum depends on various parameters like area i.e., industrial area, residential area, agricultural area, day of the week i.e., weekday, weekend, public holiday, time of the day i.e., peak hours, non-peak hours, weather i.e., summer, winter, cloudy, rainy etc. and combinations of all these parameters. Some of these parameters like the area and week of the day are certain but some parameters like the exact weather are not certain in advance. Any advance estimation of the load with uncertain parameters is bound to be inaccurate, but the users will lose out on the opportunity of getting assured allocation if they don't participate in the open access in advance. The inaccuracy of forecasting the load in advance is bringing losses to the open access users in the form of hefty penalties for deviating from the original schedule. These deviations, in turn, cause power grid instability. This paper presents a strategy of forecasting the load and participating in the Short Term Open Access at various stages to minimize the losses for the users and to maintain the grid stability.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126226674","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308931
Lagineni Mahendra, K. J. Mohan, R. K. S. Kumar, B. Bindhumadhava
India being a vast country has many industries and it had been a major challenge for these industries to purchase power at lower cost. Introduction to Electricity Act (open access) has made possible for these industries to purchase power at lower cost. In India, Indian energy exchange (IEX) and power exchange India limited (PXIL) are the two apex bodies that follow open access guidelines for collective transactions and act as an intermediary between producer and the consumer and helps in transmission of electricity using load dispatch centers (LDC). The inter-state and intra-state bilateral transactions of open access are handled by regional LDC and state LDC respectively as per central electricity regulatory commission (CERC) and state electricity regulatory commission (SERC) open access regulations. Since the electricity cannot be preserved economically equity between generation and consumption must be maintained, this is the major challenge faced by the LDC. In another side, open access users are paying hefty penalties as per deviation settlement mechanism, since proper real-time monitoring and control system not available at their end. This paper presents demand side management solution for open access users with help of wireless sensor networks technology. This solution helps the open access users to avoid penalties and helps to get incentives by suggesting timely needful actions; this, in turn, helps to maintain grid stability.
{"title":"Deviation settlement mechanism based real-time energy assessment system for open access user","authors":"Lagineni Mahendra, K. J. Mohan, R. K. S. Kumar, B. Bindhumadhava","doi":"10.1109/APPEEC.2017.8308931","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308931","url":null,"abstract":"India being a vast country has many industries and it had been a major challenge for these industries to purchase power at lower cost. Introduction to Electricity Act (open access) has made possible for these industries to purchase power at lower cost. In India, Indian energy exchange (IEX) and power exchange India limited (PXIL) are the two apex bodies that follow open access guidelines for collective transactions and act as an intermediary between producer and the consumer and helps in transmission of electricity using load dispatch centers (LDC). The inter-state and intra-state bilateral transactions of open access are handled by regional LDC and state LDC respectively as per central electricity regulatory commission (CERC) and state electricity regulatory commission (SERC) open access regulations. Since the electricity cannot be preserved economically equity between generation and consumption must be maintained, this is the major challenge faced by the LDC. In another side, open access users are paying hefty penalties as per deviation settlement mechanism, since proper real-time monitoring and control system not available at their end. This paper presents demand side management solution for open access users with help of wireless sensor networks technology. This solution helps the open access users to avoid penalties and helps to get incentives by suggesting timely needful actions; this, in turn, helps to maintain grid stability.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125998570","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 : 2017-11-01DOI: 10.1109/APPEEC.2017.8308929
M. Narimani, B. Asghari, Ratnesh K. Sharma
This paper proposes optimal strategies for control of distributed Energy Storage Systems (ESSs) to minimize Demand Charge (DC) cost and maximize local Photovoltaic (PV) utilization for Commercial & Industrial Buildings. Reducing DC cost has a direct impact on customer's electricity bill while increasing local PV utilization can help the efficient operation of distribution systems. Model-based optimization methods are presented for each individual objective. Furthermore, a multi-objective control strategy has been implemented and studied to show the possibility of stacking both services on a single ESS. Simulation studies are carried out to show optimal operation of a sample ESS unit in each scenario.
{"title":"Energy storage control methods for demand charge reduction and PV utilization improvement","authors":"M. Narimani, B. Asghari, Ratnesh K. Sharma","doi":"10.1109/APPEEC.2017.8308929","DOIUrl":"https://doi.org/10.1109/APPEEC.2017.8308929","url":null,"abstract":"This paper proposes optimal strategies for control of distributed Energy Storage Systems (ESSs) to minimize Demand Charge (DC) cost and maximize local Photovoltaic (PV) utilization for Commercial & Industrial Buildings. Reducing DC cost has a direct impact on customer's electricity bill while increasing local PV utilization can help the efficient operation of distribution systems. Model-based optimization methods are presented for each individual objective. Furthermore, a multi-objective control strategy has been implemented and studied to show the possibility of stacking both services on a single ESS. Simulation studies are carried out to show optimal operation of a sample ESS unit in each scenario.","PeriodicalId":247669,"journal":{"name":"2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128482980","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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