Pub Date : 2017-10-30DOI: 10.1109/ISGT.2017.8086065
Ivo Friedberg, K. Mclaughlin, Paul Smith
The need for novel smart grid technologies is often motivated by the need for more resilient power grids. While the number of technologies that claim to increase grid resilience is growing, there is a lack of widely accepted metrics to measure the resilience of smart grid installations. The design of effective resilience metrics is made difficult by the diversity of challenges and performance measures that a smart grid is subject to. This work identifies the necessary attributes for a complete and effective resilience metric and shows that previous work falls short. It then proposes a novel approach to measure resilience that focuses on the complex interdependencies between challenges and performances in smart grids.
{"title":"A cyber-physical resilience metric for smart grids","authors":"Ivo Friedberg, K. Mclaughlin, Paul Smith","doi":"10.1109/ISGT.2017.8086065","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086065","url":null,"abstract":"The need for novel smart grid technologies is often motivated by the need for more resilient power grids. While the number of technologies that claim to increase grid resilience is growing, there is a lack of widely accepted metrics to measure the resilience of smart grid installations. The design of effective resilience metrics is made difficult by the diversity of challenges and performance measures that a smart grid is subject to. This work identifies the necessary attributes for a complete and effective resilience metric and shows that previous work falls short. It then proposes a novel approach to measure resilience that focuses on the complex interdependencies between challenges and performances in smart grids.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122808886","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 : 2017-10-26DOI: 10.1109/ISGT.2017.8086059
Nhung Nguyen-Hong, Y. Nakanishi
Nowadays, renewable energy has become a very viable alternative solution to provide electricity. However, the uncertainty of renewable energy changes traditional issues in operation and control of power system. This paper proposes a Stochastic Dynamic Power Flow Analysis to evaluate state variables' probability distribution at any time t. Stochastic process of renewable energy is modeled and simulated by ARMA-GARCH model. The Stochastic Response Surface Method is also applied to increase computational efficiency with the same accuracy as Monte Carlo simulation. Stochastic Dynamic Power Flow Analysis is applied to IEEE 30-bus system and time dependent probability distribution of voltage, frequency and network loss will be analyzed.
{"title":"Stochastic dynamic power flow analysis based on stochastic response surfarce method and ARMA-GARCH model","authors":"Nhung Nguyen-Hong, Y. Nakanishi","doi":"10.1109/ISGT.2017.8086059","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086059","url":null,"abstract":"Nowadays, renewable energy has become a very viable alternative solution to provide electricity. However, the uncertainty of renewable energy changes traditional issues in operation and control of power system. This paper proposes a Stochastic Dynamic Power Flow Analysis to evaluate state variables' probability distribution at any time t. Stochastic process of renewable energy is modeled and simulated by ARMA-GARCH model. The Stochastic Response Surface Method is also applied to increase computational efficiency with the same accuracy as Monte Carlo simulation. Stochastic Dynamic Power Flow Analysis is applied to IEEE 30-bus system and time dependent probability distribution of voltage, frequency and network loss will be analyzed.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134191311","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 : 2017-10-26DOI: 10.1109/ISGT.2017.8086012
Ryusuke Konishi, Yuji Takenobu, Masaki Takahashi, Y. Hayashi
As more photovoltaic systems (PVs) are allocated to both transmission and distribution systems, it has been required to consider constraints of both transmission and distribution systems, such as power shortages and surpluses in transmission systems and voltages and current in distribution systems. This research proposes the framework to consider these constraints, and formulates the optimal allocation of PVs and energy storage systems (ESSs) to prevent the violation of the above constraints.
{"title":"Optimal allocation of photovoltaic systems and energy storage systems considering constraints of both transmission and distribution systems","authors":"Ryusuke Konishi, Yuji Takenobu, Masaki Takahashi, Y. Hayashi","doi":"10.1109/ISGT.2017.8086012","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086012","url":null,"abstract":"As more photovoltaic systems (PVs) are allocated to both transmission and distribution systems, it has been required to consider constraints of both transmission and distribution systems, such as power shortages and surpluses in transmission systems and voltages and current in distribution systems. This research proposes the framework to consider these constraints, and formulates the optimal allocation of PVs and energy storage systems (ESSs) to prevent the violation of the above constraints.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"29 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133124289","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 : 2017-07-01DOI: 10.1109/PESGM.2017.8274334
L. T. Marques, A. Delbem, J. London
Distribution systems (DS) service restoration is a multi-objective, multi-constraint, combinatorial and non-linear optimization problem that must be quickly solved. Four multi-objective evolutionary algorithms (MOEAs) are proposed, which combine prominent aspects of highlighted MOEAs in the literature, for dealing with SR problem. Their main differentials are the providing of improved Pareto fronts and prioritization of switching operation in remotely controlled switches, which is widely used in smart grids. Proposed MOEAs were compared with a MOEA from literature by several tests in a large-scale DS. The MOEAs' performance was measured by four metrics for evaluation of Pareto fronts and Welch's t-hypothesis test was used for statistical comparison of such performance. Test results indicate all proposed MOEAs performed better than the MOEA from literature.
{"title":"Towards the improvement of multi-objective evolutionary algorithms for service restoration","authors":"L. T. Marques, A. Delbem, J. London","doi":"10.1109/PESGM.2017.8274334","DOIUrl":"https://doi.org/10.1109/PESGM.2017.8274334","url":null,"abstract":"Distribution systems (DS) service restoration is a multi-objective, multi-constraint, combinatorial and non-linear optimization problem that must be quickly solved. Four multi-objective evolutionary algorithms (MOEAs) are proposed, which combine prominent aspects of highlighted MOEAs in the literature, for dealing with SR problem. Their main differentials are the providing of improved Pareto fronts and prioritization of switching operation in remotely controlled switches, which is widely used in smart grids. Proposed MOEAs were compared with a MOEA from literature by several tests in a large-scale DS. The MOEAs' performance was measured by four metrics for evaluation of Pareto fronts and Welch's t-hypothesis test was used for statistical comparison of such performance. Test results indicate all proposed MOEAs performed better than the MOEA from literature.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131880134","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 : 2017-04-23DOI: 10.1109/ISGT.2017.8085956
Jerson A. Pinzon, P. Vergara, L. C. P. Silva, M. J. Rider
This paper presents a new mixed integer linear programing (MILP) model for the management of energy consumption and comfort in smart buildings. Initially, a detailed mixed integer non-linear programming (MINLP) model is formulated. The approach considers the management of heating, ventilation and air conditioning (HVAC) units, lighting appliances, photovoltaic generation (PV) and energy storage system (ESS). Then, a set of linear and equivalent representations are used to approximate the problem by an MILP model. The aims of the proposed model is to minimize the electricity bill by managing the loads, as well as the schedule of the ESS, meanwhile comfortable indoor conditions are ensured by a set of mathematical constraints. A commercial MILP solver was used to guarantee optimality. The strategy was tested in an university building with multiple zones. Comparisons between the proposed MILP model and simulations in EnergyPlus were used to validate the results.
{"title":"An MILP model for optimal management of energy consumption and comfort in smart buildings","authors":"Jerson A. Pinzon, P. Vergara, L. C. P. Silva, M. J. Rider","doi":"10.1109/ISGT.2017.8085956","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085956","url":null,"abstract":"This paper presents a new mixed integer linear programing (MILP) model for the management of energy consumption and comfort in smart buildings. Initially, a detailed mixed integer non-linear programming (MINLP) model is formulated. The approach considers the management of heating, ventilation and air conditioning (HVAC) units, lighting appliances, photovoltaic generation (PV) and energy storage system (ESS). Then, a set of linear and equivalent representations are used to approximate the problem by an MILP model. The aims of the proposed model is to minimize the electricity bill by managing the loads, as well as the schedule of the ESS, meanwhile comfortable indoor conditions are ensured by a set of mathematical constraints. A commercial MILP solver was used to guarantee optimality. The strategy was tested in an university building with multiple zones. Comparisons between the proposed MILP model and simulations in EnergyPlus were used to validate the results.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127944436","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 : 2017-04-23DOI: 10.1109/ISGT.2017.8085983
Ryoichi Kuroha, Y. Fujimoto, Wataru Hirohashi, Y. Amano, S. Tanabe, Y. Hayashi
The world is more aware of the need for saving energy because of increasing world energy consumption and environmental problems. To promote saving energy in the domestic field, the use of home energy management systems (HEMSs) is rapidly spreading. The HEMS which has automatically controlling function can control domestic electrical appliances including air-conditioners (ACs). In this research, we focus on AC operation plans to improve thermal comfort and reduce electricity costs for residents. However, AC control planning is generally a difficult task because the operation results greatly depend on the environmental characteristics in which the HEMS is installed. To solve this problem, we proposed an AC planning method that accounts for environmental characteristics and uncertainty in prediction by using historical data.
{"title":"Development of prediction-based operation planning method for domestic air-conditioner with adaptive learning of installation environment","authors":"Ryoichi Kuroha, Y. Fujimoto, Wataru Hirohashi, Y. Amano, S. Tanabe, Y. Hayashi","doi":"10.1109/ISGT.2017.8085983","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085983","url":null,"abstract":"The world is more aware of the need for saving energy because of increasing world energy consumption and environmental problems. To promote saving energy in the domestic field, the use of home energy management systems (HEMSs) is rapidly spreading. The HEMS which has automatically controlling function can control domestic electrical appliances including air-conditioners (ACs). In this research, we focus on AC operation plans to improve thermal comfort and reduce electricity costs for residents. However, AC control planning is generally a difficult task because the operation results greatly depend on the environmental characteristics in which the HEMS is installed. To solve this problem, we proposed an AC planning method that accounts for environmental characteristics and uncertainty in prediction by using historical data.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133901084","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 : 2017-04-23DOI: 10.1109/ISGT.2017.8086084
E. Song, Kang B. Lee, G. FitzPatrick, Yixin Zhang
Merging units (MUs) sample alternating current (AC) in one or multiple phases and convert these analog voltage and current signals to digital values and transmit the sampled values (SVs) to protection relays (PRs) and bay controllers (BCs) through either Ethernet or optical communication channels based on the IEC 61850-9-2 protocol. MUs could provide real-time data for current, voltage, and status of power grids, and therefore, they can play a key role in real-time monitoring, protection, and control of the grids. However, MU data exchange, sharing, and interoperability can pose major challenges for the power industry. With the standardization of MU data formats, interfaces, and communication protocols, it is hopeful that data interoperability of MUs can be achieved via the IEC 61850-9-2 standard. Nevertheless, MUs and PRs produced by different vendors may not be interoperable, even though they might conform to the IEC 61850-9-2 standards. Meanwhile, another challenge is how to assure the interoperability of MUs and the best way to achieve that is through MU interoperability testing. This paper proposes a passive interoperability test method for IEC 61850-9-2 based MUs. It mainly focuses on monitoring the communications and capturing the packets between the device under test (DUT) or MU, and the MU tester or PR, and analyzing the interoperability of MUs based on the packets captured. The interoperability test system consists of five parts: a MU tester, a DUT, a network switch, a network sniffer, and a MU interoperability analyzer. IEC 61850-9-2 provides an interoperability test suite that includes a number of test cases. Two commercial MUs from different vendors have been tested with the MU Tester over Ethernet based on the interoperability test method proposed. Test results of a test case for sending SVs are provided
{"title":"Interoperability test for IEC 61850-9-2 standard-based merging units","authors":"E. Song, Kang B. Lee, G. FitzPatrick, Yixin Zhang","doi":"10.1109/ISGT.2017.8086084","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086084","url":null,"abstract":"Merging units (MUs) sample alternating current (AC) in one or multiple phases and convert these analog voltage and current signals to digital values and transmit the sampled values (SVs) to protection relays (PRs) and bay controllers (BCs) through either Ethernet or optical communication channels based on the IEC 61850-9-2 protocol. MUs could provide real-time data for current, voltage, and status of power grids, and therefore, they can play a key role in real-time monitoring, protection, and control of the grids. However, MU data exchange, sharing, and interoperability can pose major challenges for the power industry. With the standardization of MU data formats, interfaces, and communication protocols, it is hopeful that data interoperability of MUs can be achieved via the IEC 61850-9-2 standard. Nevertheless, MUs and PRs produced by different vendors may not be interoperable, even though they might conform to the IEC 61850-9-2 standards. Meanwhile, another challenge is how to assure the interoperability of MUs and the best way to achieve that is through MU interoperability testing. This paper proposes a passive interoperability test method for IEC 61850-9-2 based MUs. It mainly focuses on monitoring the communications and capturing the packets between the device under test (DUT) or MU, and the MU tester or PR, and analyzing the interoperability of MUs based on the packets captured. The interoperability test system consists of five parts: a MU tester, a DUT, a network switch, a network sniffer, and a MU interoperability analyzer. IEC 61850-9-2 provides an interoperability test suite that includes a number of test cases. Two commercial MUs from different vendors have been tested with the MU Tester over Ethernet based on the interoperability test method proposed. Test results of a test case for sending SVs are provided","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124774372","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 : 2017-04-23DOI: 10.1109/ISGT.2017.8085974
Muthanna Al-Sarray, R. McCann
The increased adoption of wind generation capacity into worldwide electric power systems presents many challenges due to the intermittent nature of this energy resource. The equipment for flexible ac transmission systems (FACTS) are the focus of this paper with the goal of overcoming the difficulties of achieving improved electric power system reliability with large penetration of wind generation. FACTS equipment can also contribute towards reducing the cost of power system expansions by better utilizing existing assets to defer future infrastructure expenses. In addition, FACTS equipment can minimize issues concerning adequate damping of power oscillations, transmission capacities, and frequency regulation. The paper presents research results on improving power oscillation damping and increased transmission capacities under dynamic conditions using static synchronous series compensator (SSSC) technology. Detailed analysis and simulation of these factors are considered under normal and faulted in the power system network. Results of this investigation help in understanding the improvements that can be achieved by incorporating SSSC equipment in systems having large participation factors associated with wind turbine generators.
{"title":"Control of an SSSC for oscillation damping of power systems with wind turbine generators","authors":"Muthanna Al-Sarray, R. McCann","doi":"10.1109/ISGT.2017.8085974","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085974","url":null,"abstract":"The increased adoption of wind generation capacity into worldwide electric power systems presents many challenges due to the intermittent nature of this energy resource. The equipment for flexible ac transmission systems (FACTS) are the focus of this paper with the goal of overcoming the difficulties of achieving improved electric power system reliability with large penetration of wind generation. FACTS equipment can also contribute towards reducing the cost of power system expansions by better utilizing existing assets to defer future infrastructure expenses. In addition, FACTS equipment can minimize issues concerning adequate damping of power oscillations, transmission capacities, and frequency regulation. The paper presents research results on improving power oscillation damping and increased transmission capacities under dynamic conditions using static synchronous series compensator (SSSC) technology. Detailed analysis and simulation of these factors are considered under normal and faulted in the power system network. Results of this investigation help in understanding the improvements that can be achieved by incorporating SSSC equipment in systems having large participation factors associated with wind turbine generators.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127796044","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 : 2017-04-23DOI: 10.1109/ISGT.2017.8086043
Kálmán Tornai, A. Oláh, Rajmund Drenyovszki, Lóránt Kovács, István Pintér, J. Levendovszky
Power consuming users and buildings with different power consumption patterns may be treated with different conditions and can be taken into consideration with different parameters during capacity planning and distribution. Thus the automated, unsupervised categorization of power consumers is a very important task of smart power transmission systems. Knowing the behavioral categories of power consumers better models can be created which can be used for better behavior forecast which is an important task for load balancing. One of the existing best solutions for consumer classification is the consumption forecast based scheme which applies nonlinear forecast techniques to determine the class assignment for new consumers. In this paper, we present new results on the classification of consumers using recurrent neural networks in the forecast based classification framework. The results are compared with existing classification methods using real, measured power consumption data. We demonstrate that consumer classification performed by recurrent neural networks can outperform existing methods as in several cases the correct class assignment rate is near to 100%.
{"title":"Recurrent neural network based user classification for smart grids","authors":"Kálmán Tornai, A. Oláh, Rajmund Drenyovszki, Lóránt Kovács, István Pintér, J. Levendovszky","doi":"10.1109/ISGT.2017.8086043","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086043","url":null,"abstract":"Power consuming users and buildings with different power consumption patterns may be treated with different conditions and can be taken into consideration with different parameters during capacity planning and distribution. Thus the automated, unsupervised categorization of power consumers is a very important task of smart power transmission systems. Knowing the behavioral categories of power consumers better models can be created which can be used for better behavior forecast which is an important task for load balancing. One of the existing best solutions for consumer classification is the consumption forecast based scheme which applies nonlinear forecast techniques to determine the class assignment for new consumers. In this paper, we present new results on the classification of consumers using recurrent neural networks in the forecast based classification framework. The results are compared with existing classification methods using real, measured power consumption data. We demonstrate that consumer classification performed by recurrent neural networks can outperform existing methods as in several cases the correct class assignment rate is near to 100%.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133417108","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 : 2017-04-23DOI: 10.1109/ISGT.2017.8085964
Sobhan Badakhshan, N. Hajibandeh, M. Ehsan, S. Soleymani
There is a global tendency towards using Distributed Generation (DG) and renewable energy resources. Considering low utilization cost and low undesirable environmental effects, wind farms have become a considerable resource for producing electrical energy in many countries. Since Wind farms are not programmable and their power output which depends on weather and wind speed is uncertain, they create problems for utilizing electricity system. There are different methods for preserving system stability against the uncertainty of wind power plants. Optimal utilization of pumped storage and gas resources is one of the approaches for reducing production risk of wind farms. In this paper, it is tried to make wind farms programmable through employing batteries reserving electrical energy in wind farms. The numerical results show the effectiveness of the proposed approach.
{"title":"Security-constrained unit commitment with integration of battery storage in wind power plant","authors":"Sobhan Badakhshan, N. Hajibandeh, M. Ehsan, S. Soleymani","doi":"10.1109/ISGT.2017.8085964","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085964","url":null,"abstract":"There is a global tendency towards using Distributed Generation (DG) and renewable energy resources. Considering low utilization cost and low undesirable environmental effects, wind farms have become a considerable resource for producing electrical energy in many countries. Since Wind farms are not programmable and their power output which depends on weather and wind speed is uncertain, they create problems for utilizing electricity system. There are different methods for preserving system stability against the uncertainty of wind power plants. Optimal utilization of pumped storage and gas resources is one of the approaches for reducing production risk of wind farms. In this paper, it is tried to make wind farms programmable through employing batteries reserving electrical energy in wind farms. The numerical results show the effectiveness of the proposed approach.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122931271","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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