Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282486
P. Ganguly, Akhtar Kalam, A. Zayegh
Renewable energy systems (RES) are increasingly popular due to depletion of natural sources. Optimal sizing oi hybrid RES is essential to permit a factual penetration of the renewable energy sources. Improper sizing might lead to increased establishment cost or Coptimal design configuration of standalone RES with battery storage using HOMER for a small community located in Portland, Victoria. To achieve that, a pre-feasibility study has been conducted. Sensitivity analysis has been performed for different values of hourly wind speed, solar irradiation, scaled annual average load and annual capacity shortage. Various renewable energy sources along with energy storage devices and their application are discussed in terms of cost and performance. The different solutions are analyzed and the optimum system configuration is selected. The characteristics of the optimally selected system are discussed.
{"title":"Optimum standalone hybrid renewable energy system design using HOMER for a small community of Portland, Victoria","authors":"P. Ganguly, Akhtar Kalam, A. Zayegh","doi":"10.1109/AUPEC.2017.8282486","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282486","url":null,"abstract":"Renewable energy systems (RES) are increasingly popular due to depletion of natural sources. Optimal sizing oi hybrid RES is essential to permit a factual penetration of the renewable energy sources. Improper sizing might lead to increased establishment cost or Coptimal design configuration of standalone RES with battery storage using HOMER for a small community located in Portland, Victoria. To achieve that, a pre-feasibility study has been conducted. Sensitivity analysis has been performed for different values of hourly wind speed, solar irradiation, scaled annual average load and annual capacity shortage. Various renewable energy sources along with energy storage devices and their application are discussed in terms of cost and performance. The different solutions are analyzed and the optimum system configuration is selected. The characteristics of the optimally selected system are discussed.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"5 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":"122087123","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/AUPEC.2017.8282382
Fu Zheng, Wang Zhang
Power quality is one of the major requirements in power system operation and design. A power factor that is close to one is a good indicator for the overall power quality, especially for an electrical power system with high uptake of commercial loads with a large amount of inductance. A poor power factor normally leads to a less efficient electrical system, and may also be less economically efficient for system operators and end consumers. Therefore, power factor improvement plays a crucial role in the efficient system operation and electricity consumption costs reductions. This paper provides a detailed implementation of the technical and economic value of power factor improvement, and it is verified through an analysis of a real-world electrical system and loads. The efficiency of the method to determine the optimum location and size of capacitor installations to achieve desired goals is demonstrated in this experiment.
{"title":"Long term effect of power factor correction on the industrial load: A case study","authors":"Fu Zheng, Wang Zhang","doi":"10.1109/AUPEC.2017.8282382","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282382","url":null,"abstract":"Power quality is one of the major requirements in power system operation and design. A power factor that is close to one is a good indicator for the overall power quality, especially for an electrical power system with high uptake of commercial loads with a large amount of inductance. A poor power factor normally leads to a less efficient electrical system, and may also be less economically efficient for system operators and end consumers. Therefore, power factor improvement plays a crucial role in the efficient system operation and electricity consumption costs reductions. This paper provides a detailed implementation of the technical and economic value of power factor improvement, and it is verified through an analysis of a real-world electrical system and loads. The efficiency of the method to determine the optimum location and size of capacitor installations to achieve desired goals is demonstrated in this experiment.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"95 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":"124230275","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/AUPEC.2017.8282469
Ali Azizivahed, Sahand Ghavidel, M. J. Ghadi, Li Li, Jiangfeng Zhang
This paper presents a new solution to unit commitment for single-objective and multi-objective frameworks. In the first step, the total expected energy not supplied (TEENS) is proposed as a separate reliability objective function and at the next step, the multi-objective Pareto front strategy is implemented to simultaneously optimize the cost and reliability objective functions. Additionally, an integer based codification of initial solutions is added to reduce the dimension of ON/OFF status variables and also to eliminate the negative influence of penalty factor. The modified invasive weed optimization (MIWO) algorithm is also developed to optimally solve the proposed problem. The obtained solutions are compared with results in the literature which confirms the applicability and superiority of the proposed algorithm for a 10-unit system and 24-hour scheduling horizon.
{"title":"A novel reliability oriented bi-objective unit commitment problem","authors":"Ali Azizivahed, Sahand Ghavidel, M. J. Ghadi, Li Li, Jiangfeng Zhang","doi":"10.1109/AUPEC.2017.8282469","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282469","url":null,"abstract":"This paper presents a new solution to unit commitment for single-objective and multi-objective frameworks. In the first step, the total expected energy not supplied (TEENS) is proposed as a separate reliability objective function and at the next step, the multi-objective Pareto front strategy is implemented to simultaneously optimize the cost and reliability objective functions. Additionally, an integer based codification of initial solutions is added to reduce the dimension of ON/OFF status variables and also to eliminate the negative influence of penalty factor. The modified invasive weed optimization (MIWO) algorithm is also developed to optimally solve the proposed problem. The obtained solutions are compared with results in the literature which confirms the applicability and superiority of the proposed algorithm for a 10-unit system and 24-hour scheduling horizon.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"86 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":"126267044","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/AUPEC.2017.8282490
Safy Saeed, S. Shezan, M. Arbab, Sohel Rana
The request of energy expanding step by step at a disturbing rate because of the infringement of the human advancement. To take care of the additional heap demand individuals are discovering some different ways like sustainable power source assets with some battery stockpiles as back vitality stockpiling framework. To achieve this, we anticipated that would intentionally acquire exact data from the battery using a contraption which was adequately fiery to give correct and stable data, adequately minimal that it could be taken to any remote territory, and used to log data in a glint removable limit. This data can be later separated to think battery confine, imperativeness, SOC and discharge twist which are all measure of prosperity of battery, certifiable applications would be battery attempting in Electrical vehicles, batteries in remote locales, for instance, sun based power cross sections and batteries at examine goals, where customer can log the data using this advantageous battery prosperity checking device on a SD card and dismember using distinctive models later on. This structure uses stand-out customer input system where customer enters measure of present and cut-off voltage in a txt record in the Micro SD card. In this paper, the maker arranged and fabricated a flexible little scale controller based device which is prepared for recording battery parameters, for instance, voltage, current and time, can draw customer inputted relentless current from the battery till the battery accomplishes a customer portrayed cut-off voltage.
{"title":"Battery monitoring system for the smart grid applications","authors":"Safy Saeed, S. Shezan, M. Arbab, Sohel Rana","doi":"10.1109/AUPEC.2017.8282490","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282490","url":null,"abstract":"The request of energy expanding step by step at a disturbing rate because of the infringement of the human advancement. To take care of the additional heap demand individuals are discovering some different ways like sustainable power source assets with some battery stockpiles as back vitality stockpiling framework. To achieve this, we anticipated that would intentionally acquire exact data from the battery using a contraption which was adequately fiery to give correct and stable data, adequately minimal that it could be taken to any remote territory, and used to log data in a glint removable limit. This data can be later separated to think battery confine, imperativeness, SOC and discharge twist which are all measure of prosperity of battery, certifiable applications would be battery attempting in Electrical vehicles, batteries in remote locales, for instance, sun based power cross sections and batteries at examine goals, where customer can log the data using this advantageous battery prosperity checking device on a SD card and dismember using distinctive models later on. This structure uses stand-out customer input system where customer enters measure of present and cut-off voltage in a txt record in the Micro SD card. In this paper, the maker arranged and fabricated a flexible little scale controller based device which is prepared for recording battery parameters, for instance, voltage, current and time, can draw customer inputted relentless current from the battery till the battery accomplishes a customer portrayed cut-off voltage.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 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":"129599616","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/AUPEC.2017.8282502
Jaysson Guerrero, Archie C. Chapman, G. Verbič
Over recent years, distributed energy resources (DER) have been the object of many studies, which recognise and establish their emerging role in the future of power systems. However, the implementation of many scenarios and mechanism are still challenging. This paper provides an overview of a local energy market and explores the approaches in which consumers and prosumers take part in this market. Therefore, the purpose of this paper is to review the benefits of local markets for users. This study assesses the performance of distributed and centralised trading mechanisms, comparing scenarios where the objective of the exchange may be based on individual or social welfare. Simulation results show the advantages of local markets and demonstrate the importance of advancing the understanding of local markets.
{"title":"A study of energy trading in a low-voltage network: Centralised and distributed approaches","authors":"Jaysson Guerrero, Archie C. Chapman, G. Verbič","doi":"10.1109/AUPEC.2017.8282502","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282502","url":null,"abstract":"Over recent years, distributed energy resources (DER) have been the object of many studies, which recognise and establish their emerging role in the future of power systems. However, the implementation of many scenarios and mechanism are still challenging. This paper provides an overview of a local energy market and explores the approaches in which consumers and prosumers take part in this market. Therefore, the purpose of this paper is to review the benefits of local markets for users. This study assesses the performance of distributed and centralised trading mechanisms, comparing scenarios where the objective of the exchange may be based on individual or social welfare. Simulation results show the advantages of local markets and demonstrate the importance of advancing the understanding of local markets.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"81 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":"128229340","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/AUPEC.2017.8282495
B. Jeddi, Yateendra Mishra, G. Ledwich
Individual residential customers are installing home energy management units (HEMUs) to efficiently manage their energy consumption, solar photovoltaics (PVs) and battery energy storage systems (BESSs) to reduce electricity bill. This paper investigates network impacts of several HEMUs operating in a low voltage distribution feeder. A dynamic programming (DP)-based HEMU is proposed aiming at efficiently scheduling the operation of household appliances and BESS to minimize energy cost. Different time-varying pricing models such as real-time pricing (RTP) and time-of-use (ToU) tariff are considered and the operation condition of the network is studied. Simulation results show that individual HEMUs operating in a greedy fashion would worsen load and voltage profile of the network.
{"title":"Network impact of multiple HEMUs with PVs and BESS in a low voltage distribution feeder","authors":"B. Jeddi, Yateendra Mishra, G. Ledwich","doi":"10.1109/AUPEC.2017.8282495","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282495","url":null,"abstract":"Individual residential customers are installing home energy management units (HEMUs) to efficiently manage their energy consumption, solar photovoltaics (PVs) and battery energy storage systems (BESSs) to reduce electricity bill. This paper investigates network impacts of several HEMUs operating in a low voltage distribution feeder. A dynamic programming (DP)-based HEMU is proposed aiming at efficiently scheduling the operation of household appliances and BESS to minimize energy cost. Different time-varying pricing models such as real-time pricing (RTP) and time-of-use (ToU) tariff are considered and the operation condition of the network is studied. Simulation results show that individual HEMUs operating in a greedy fashion would worsen load and voltage profile of the network.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"80 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":"127291921","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/AUPEC.2017.8282497
Effat Jahan, Md. Rifat Hazari, S. Muyeen, A. Umemura, R. Takahashi, J. Tamura
This paper proposes a new control scheme for variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSG) based offshore wind farm (WF), which is connected to the main onshore grid through voltage source converter (VSC) based high voltage DC (HVDC) transmission system, to decrease the frequency fluctuations of the onshore grid. A centralized droop controller for VSWT-PMSGs is designed in order that the offshore WF can control the frequency oscillations of the main grid in which a large scale of WF composed of fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) is installed. In the proposed system, control of the frequency oscillations is performed by adopting the deloading operation. The simulation analysis is performed on a model system composed of synchronous generators (SGs), FSWT-SCIGs based WF, and VSWT-PMSGs based offshore WF to show the effectiveness of the proposed coordinated control system.
{"title":"Coordinated power system frequency regulation by PMSG-based offshore wind farm","authors":"Effat Jahan, Md. Rifat Hazari, S. Muyeen, A. Umemura, R. Takahashi, J. Tamura","doi":"10.1109/AUPEC.2017.8282497","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282497","url":null,"abstract":"This paper proposes a new control scheme for variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSG) based offshore wind farm (WF), which is connected to the main onshore grid through voltage source converter (VSC) based high voltage DC (HVDC) transmission system, to decrease the frequency fluctuations of the onshore grid. A centralized droop controller for VSWT-PMSGs is designed in order that the offshore WF can control the frequency oscillations of the main grid in which a large scale of WF composed of fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) is installed. In the proposed system, control of the frequency oscillations is performed by adopting the deloading operation. The simulation analysis is performed on a model system composed of synchronous generators (SGs), FSWT-SCIGs based WF, and VSWT-PMSGs based offshore WF to show the effectiveness of the proposed coordinated control system.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"48 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121009286","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/AUPEC.2017.8282449
Amit Datta, A. Ghosh, S. Rajakaruna
This paper introduces a control technique for proportional load sharing in a DC microgrid during both islanded and utility connected modes. The DC microgrid is connected to a utility system through an interlinking voltage source converter and a unidirectional DC-DC converter. The DC-DC converter draws the desired amount of power from the utility, while the interlinking converter holds the DC bus voltage. The DERs in the DC microgrid are operated under droop sharing using DC-DC converters. Each DC-DC converter is equipped with a state feedback with integral controller that can regulate its output voltage for a wide range of input voltage fluctuation and load variation. Simulation studies are conducted on PSCAD/EMTDC to validate the proposal.
{"title":"Power sharing and management in a utility connected DC microgrid","authors":"Amit Datta, A. Ghosh, S. Rajakaruna","doi":"10.1109/AUPEC.2017.8282449","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282449","url":null,"abstract":"This paper introduces a control technique for proportional load sharing in a DC microgrid during both islanded and utility connected modes. The DC microgrid is connected to a utility system through an interlinking voltage source converter and a unidirectional DC-DC converter. The DC-DC converter draws the desired amount of power from the utility, while the interlinking converter holds the DC bus voltage. The DERs in the DC microgrid are operated under droop sharing using DC-DC converters. Each DC-DC converter is equipped with a state feedback with integral controller that can regulate its output voltage for a wide range of input voltage fluctuation and load variation. Simulation studies are conducted on PSCAD/EMTDC to validate the proposal.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"5 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":"122269717","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/AUPEC.2017.8282452
H. Galligan, S. Lyden
This paper presents an improved reinitialisation condition for time invariant maximum power point tracking (MPPT) methods used in photovoltaic (PV) systems experiencing partial shading conditions (PSC). Time invariant (MPPT) methods, such as Particle Swarm Optimisation (PSO), overcome the limitations of existing MPPT by tracking the global maximum power point (GMPP) of a PV system operating under PSC. However, due to the time invariant structure of these MPPT methods, they also require a reinitialisation condition to be defined for when a change in irradiance or temperature occurs. Testing was performed using simulations of a model built in Matlab/ Simulink, where the performance of existing and developed conditions was evaluated using test cases with changes in solar irradiance. Limitations of existing conditions were identified and a more robust reinitialisation condition developed. The developed reinitialisation condition used sentry particles to monitor the PV voltage range for changes in the measured power of any sentry. The developed condition had a 96 % rate of successful detection, as compared to as low as 68 % successful detection for existing methods, demonstrating improved performance and robustness.
{"title":"Improving the performance of time invariant maximum power point tracking methods","authors":"H. Galligan, S. Lyden","doi":"10.1109/AUPEC.2017.8282452","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282452","url":null,"abstract":"This paper presents an improved reinitialisation condition for time invariant maximum power point tracking (MPPT) methods used in photovoltaic (PV) systems experiencing partial shading conditions (PSC). Time invariant (MPPT) methods, such as Particle Swarm Optimisation (PSO), overcome the limitations of existing MPPT by tracking the global maximum power point (GMPP) of a PV system operating under PSC. However, due to the time invariant structure of these MPPT methods, they also require a reinitialisation condition to be defined for when a change in irradiance or temperature occurs. Testing was performed using simulations of a model built in Matlab/ Simulink, where the performance of existing and developed conditions was evaluated using test cases with changes in solar irradiance. Limitations of existing conditions were identified and a more robust reinitialisation condition developed. The developed reinitialisation condition used sentry particles to monitor the PV voltage range for changes in the measured power of any sentry. The developed condition had a 96 % rate of successful detection, as compared to as low as 68 % successful detection for existing methods, demonstrating improved performance and robustness.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"24 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":"126995000","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/AUPEC.2017.8282504
P. Jamborsalamati, Edstan Fernandez, M. J. Hossain, F. Rafi
Increased numbers of installed IoT devices and more complex building management algorithms make vital a secure, reliable, and cloud-based IoT platform, offering provisions for devices to communicate and react to predefined situations. This platform facilitates data acquisition, management, and interactions among IoT devices in order to exchange information including measurement data and control signals with controllers via a two-way communication mechanism. In this paper, an IoT platform to implement a device-supply management algorithm in a smart building, aiming to supply higher-priority devices from solar power and to maximize solar-power utilization, has been designed and implemented. Message Queue Telemetry Transport (MQTT), which is the state-of-the-art Internet of Things (IoT) protocol, has been adopted in this work to incorporate communications between the devices and the controller. MQTT publisher and subscriber are deployed in the Python programming language. A cloud-based data aggregation platform has been used with an interface to MATLAB, in which the device management algorithm runs. From the results, it could be observed that the IoT platform successfully achieves the goals of the designed device-supply management algorithm.
{"title":"Design and implementation of a cloud-based IoT platform for data acquisition and device supply management in smart buildings","authors":"P. Jamborsalamati, Edstan Fernandez, M. J. Hossain, F. Rafi","doi":"10.1109/AUPEC.2017.8282504","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282504","url":null,"abstract":"Increased numbers of installed IoT devices and more complex building management algorithms make vital a secure, reliable, and cloud-based IoT platform, offering provisions for devices to communicate and react to predefined situations. This platform facilitates data acquisition, management, and interactions among IoT devices in order to exchange information including measurement data and control signals with controllers via a two-way communication mechanism. In this paper, an IoT platform to implement a device-supply management algorithm in a smart building, aiming to supply higher-priority devices from solar power and to maximize solar-power utilization, has been designed and implemented. Message Queue Telemetry Transport (MQTT), which is the state-of-the-art Internet of Things (IoT) protocol, has been adopted in this work to incorporate communications between the devices and the controller. MQTT publisher and subscriber are deployed in the Python programming language. A cloud-based data aggregation platform has been used with an interface to MATLAB, in which the device management algorithm runs. From the results, it could be observed that the IoT platform successfully achieves the goals of the designed device-supply management algorithm.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"13 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":"121444645","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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