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.2017.8282469
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.2017.8282495
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.2017.8282452
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.2017.8282501
T. Vu, D. Robinson, V. Gosbell, S. Perera, R. Memisevic
Ensuring harmonic voltage distortion levels in transmission systems remain below acceptable levels relies on appropriate allocations of emissions to customer loads and bulk supply points. A number of practical issues have been identified with the existing harmonic allocation method for transmission systems in the technical report IEC/TR 61000-3-6:2008, Ed.2: the method to assess the total available power of a busbar, a key component to harmonic allocations, is not intuitive and there is a lack of clarity in the report; the method for sharing planning levels also does not allow unused spare capacity at a busbar to be shared with other busbars in the network to increase their global contribution; and the method for allocation of individual limits does not account for the size and harmonic emission of existing loads connected to a busbar. This paper analyses these issues in detail and proposes some clarification and amendments required for the existing allocation method. A simplified transmission network is provided to clarify how total available power can be assessed, how individual limits can be allocated for multiple loads connected to the same busbar, and to demonstrate that a significant increase in global contribution and subsequently higher individual limits can be achieved.
{"title":"Proposed amendment to IEC/TR 61000.3.6:2008 for harmonic allocation to loads in transmission systems","authors":"T. Vu, D. Robinson, V. Gosbell, S. Perera, R. Memisevic","doi":"10.1109/AUPEC.2017.8282501","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282501","url":null,"abstract":"Ensuring harmonic voltage distortion levels in transmission systems remain below acceptable levels relies on appropriate allocations of emissions to customer loads and bulk supply points. A number of practical issues have been identified with the existing harmonic allocation method for transmission systems in the technical report IEC/TR 61000-3-6:2008, Ed.2: the method to assess the total available power of a busbar, a key component to harmonic allocations, is not intuitive and there is a lack of clarity in the report; the method for sharing planning levels also does not allow unused spare capacity at a busbar to be shared with other busbars in the network to increase their global contribution; and the method for allocation of individual limits does not account for the size and harmonic emission of existing loads connected to a busbar. This paper analyses these issues in detail and proposes some clarification and amendments required for the existing allocation method. A simplified transmission network is provided to clarify how total available power can be assessed, how individual limits can be allocated for multiple loads connected to the same busbar, and to demonstrate that a significant increase in global contribution and subsequently higher individual limits can be achieved.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"414 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":"133124420","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.2017.8282445
Maryam Moradi Far, E. Pashajavid, A. Ghosh
Voltage sag and voltage unbalance can be considered as the major power quality concerns in low voltage distribution networks. A dynamic voltage restorer (DVR) is commonly used to provide voltage support for load buses containing critical loads. In practice, however, the limited power capacity of these devices can highly deteriorate the desirable regulation expected from them, especially under severe disturbances. This paper proposes an efficient fuzzy logic based capacity management scheme for DVRs in mitigating voltage disturbances. The strategy can appropriately organize the DVR operation complying with the features and priorities given by the designer. A novel approach to derive the compensation reference signals is presented in which the mitigation factors associated with the disturbances are adjusted by the fuzzy scheme. Further, a single-step prediction horizon technique is implemented to regulate the switching commands of the DVR. Various simulation cases are studied in MATLAB to demonstrate efficacy of the proposal.
{"title":"Power capacity management of dynamic voltage restorers used for voltage sag and unbalance compensation","authors":"Maryam Moradi Far, E. Pashajavid, A. Ghosh","doi":"10.1109/AUPEC.2017.8282445","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282445","url":null,"abstract":"Voltage sag and voltage unbalance can be considered as the major power quality concerns in low voltage distribution networks. A dynamic voltage restorer (DVR) is commonly used to provide voltage support for load buses containing critical loads. In practice, however, the limited power capacity of these devices can highly deteriorate the desirable regulation expected from them, especially under severe disturbances. This paper proposes an efficient fuzzy logic based capacity management scheme for DVRs in mitigating voltage disturbances. The strategy can appropriately organize the DVR operation complying with the features and priorities given by the designer. A novel approach to derive the compensation reference signals is presented in which the mitigation factors associated with the disturbances are adjusted by the fuzzy scheme. Further, a single-step prediction horizon technique is implemented to regulate the switching commands of the DVR. Various simulation cases are studied in MATLAB to demonstrate efficacy of the proposal.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","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":"134059701","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.2017.8282380
Donald Azuatalam, G. Verbič, Archie C. Chapman
In this paper, the impacts of different network tariffs on the consumption pattern of electricity consumers/prosumers and the resultant effects on the distribution network is evaluated. A home energy management system (HEMS) based mixed integer linear programming (MILP) model is developed for 39 customers connected to a low voltage (LV) residential feeder to analyse the impacts of demand and energy-based tariffs on network performance. Results show that tariffs with a peak-demand component perform better in terms of electricity cost reduction for the customer, as well as in reducing peak demand and line loading for networks with high PV-battery penetration levels.
{"title":"Impacts of network tariffs on distribution network power flows","authors":"Donald Azuatalam, G. Verbič, Archie C. Chapman","doi":"10.1109/AUPEC.2017.8282380","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282380","url":null,"abstract":"In this paper, the impacts of different network tariffs on the consumption pattern of electricity consumers/prosumers and the resultant effects on the distribution network is evaluated. A home energy management system (HEMS) based mixed integer linear programming (MILP) model is developed for 39 customers connected to a low voltage (LV) residential feeder to analyse the impacts of demand and energy-based tariffs on network performance. Results show that tariffs with a peak-demand component perform better in terms of electricity cost reduction for the customer, as well as in reducing peak demand and line loading for networks with high PV-battery penetration levels.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"33 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":"127741143","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.2017.8282508
Thomas Power, G. Verbič
This paper presents a framework for generating synthetic residential solar generation profiles. Using the Dirichlet process, characteristics can be clustered and assigned to unobservable connections in a network. This approach retains the variance of this assignment introduced by sparse data, and allows for profiles to be generated specific to individual characteristics. It is also demonstrated that a Markov process modelling changing solar irradiance can be defined from existing solar generation data, rather than specific solar irradiance data in the event that it is not available. This model was applied to data sourced from Ausgrid's Smart Grid, Smart City Program, and a limited initial application found that profiles specific to assigned characteristics could be generated successfully.
{"title":"A nonparametric Bayesian model for forecasting residential solar generation","authors":"Thomas Power, G. Verbič","doi":"10.1109/AUPEC.2017.8282508","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282508","url":null,"abstract":"This paper presents a framework for generating synthetic residential solar generation profiles. Using the Dirichlet process, characteristics can be clustered and assigned to unobservable connections in a network. This approach retains the variance of this assignment introduced by sparse data, and allows for profiles to be generated specific to individual characteristics. It is also demonstrated that a Markov process modelling changing solar irradiance can be defined from existing solar generation data, rather than specific solar irradiance data in the event that it is not available. This model was applied to data sourced from Ausgrid's Smart Grid, Smart City Program, and a limited initial application found that profiles specific to assigned characteristics could be generated successfully.","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":"129267835","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.2017.8282509
Vanika Sharma, M. H. Haque, S. M. Aziz
Recent reduction in feed-in-tariff makes the installation of residential rooftop solar photovoltaic system unattractive without having suitable battery energy storage system. This paper describes a technique of determining the optimal size of battery storage for a typical residential home in South Australia with grid connected rooftop solar photovoltaic system. An optimization problem is carefully formulated to determine the optimal size of the battery while minimizing the total life cycle cost of the system. Hourly load data as well hourly solar output data for various ratings of the PV systems are used. The optimal size of battery is also determined for different retail prices of grid electricity. The results obtained are then carefully analyzed and discussed. It has been found that, with current retail price of electricity in South Australia, installation of battery storage is becoming more beneficial and crosses the economic breakeven point.
{"title":"Optimal battery size for grid connected rooftop solar photovoltaic systems in South Australia","authors":"Vanika Sharma, M. H. Haque, S. M. Aziz","doi":"10.1109/AUPEC.2017.8282509","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282509","url":null,"abstract":"Recent reduction in feed-in-tariff makes the installation of residential rooftop solar photovoltaic system unattractive without having suitable battery energy storage system. This paper describes a technique of determining the optimal size of battery storage for a typical residential home in South Australia with grid connected rooftop solar photovoltaic system. An optimization problem is carefully formulated to determine the optimal size of the battery while minimizing the total life cycle cost of the system. Hourly load data as well hourly solar output data for various ratings of the PV systems are used. The optimal size of battery is also determined for different retail prices of grid electricity. The results obtained are then carefully analyzed and discussed. It has been found that, with current retail price of electricity in South Australia, installation of battery storage is becoming more beneficial and crosses the economic breakeven point.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"54 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":"115156300","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.2017.8282500
M. Nizami, Jahangir Hossain
This paper presents an optimal scheduling model for Demand Response (DR) based Home Energy Management System (HEMS) that schedules residential electrical appliances and Distributed Energy Resource (DER) units for active residential consumers. The scheduling problem is formulated using Mixed-Integer Linear Programing (MILP). The primary objective of the proposed model is to minimize the electricity expenditure of the consumer while maintaining an optimal comfort level. Grid reliability criteria have also been incorporated into the optimization constraints to address the issue of rebound peaks and voltage-level violation in distribution grids which may arise due to large-scale adoption of DR-based HEMS. The proposed HEMS model is simulated and verified with a case study for a typical house, and the simulation showed positive results with up to 18% energy expenditure savings for the consumer.
{"title":"Optimal scheduling of electrical appliances and DER units for home energy management system","authors":"M. Nizami, Jahangir Hossain","doi":"10.1109/AUPEC.2017.8282500","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282500","url":null,"abstract":"This paper presents an optimal scheduling model for Demand Response (DR) based Home Energy Management System (HEMS) that schedules residential electrical appliances and Distributed Energy Resource (DER) units for active residential consumers. The scheduling problem is formulated using Mixed-Integer Linear Programing (MILP). The primary objective of the proposed model is to minimize the electricity expenditure of the consumer while maintaining an optimal comfort level. Grid reliability criteria have also been incorporated into the optimization constraints to address the issue of rebound peaks and voltage-level violation in distribution grids which may arise due to large-scale adoption of DR-based HEMS. The proposed HEMS model is simulated and verified with a case study for a typical house, and the simulation showed positive results with up to 18% energy expenditure savings for the consumer.","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":"126276881","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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