Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764079
Peng Zhang, Chunyan Li, Qian Zhang
Wind power forecast error has been considered to be the factor that increases the difficulty of power system dispatch, decreases the economy of system operation, and affects the wind power accommodation. A multiple time scales dispatch model of wind power integrated system is built considering the wind power forecast error and demand response. The price-based demand response (PDR) is used in the initial dispatch because of the large day-ahead forecast error. In the day, the price-based demand response is dispatched again to take advantage of its low cost. According to the strong timeliness of the incentive-based demand response (IDR), it is used in real-time dispatch to decrease the influence of wind power forecast error on the system dispatch and wind power accommodation. Study case shows that the multiple time scales optimal dispatch can increase wind power accommodations, save system operating costs, ensure the autonomy of consumers and reduce the impact of demand response.
{"title":"Wind power accommodation considering the prediction error of wind power","authors":"Peng Zhang, Chunyan Li, Qian Zhang","doi":"10.1109/PMAPS.2016.7764079","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764079","url":null,"abstract":"Wind power forecast error has been considered to be the factor that increases the difficulty of power system dispatch, decreases the economy of system operation, and affects the wind power accommodation. A multiple time scales dispatch model of wind power integrated system is built considering the wind power forecast error and demand response. The price-based demand response (PDR) is used in the initial dispatch because of the large day-ahead forecast error. In the day, the price-based demand response is dispatched again to take advantage of its low cost. According to the strong timeliness of the incentive-based demand response (IDR), it is used in real-time dispatch to decrease the influence of wind power forecast error on the system dispatch and wind power accommodation. Study case shows that the multiple time scales optimal dispatch can increase wind power accommodations, save system operating costs, ensure the autonomy of consumers and reduce the impact of demand response.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121332162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764168
Edgar Nuño, N. Cutululis
Experience has shown the limitations of deterministic criteria when accommodating the intrinsic uncertainties associated to modern power systems. Hereof, probabilistic risk assessment represent a powerful enhancement in order to ensure the overall power system reliability rather than a worst-case scenario analysis. This paper presents a general-purpose methodology intended to generate plausible operating states. The main focus lies on the generation of correlated random samples using a heuristic of the NORmal-to-Anything (NORTA) method. The proposed methodology was applied to model wind generation in the Danish Western power system, analyzing the effect of the marginal distributions and errors in the correlation matrix definition.
{"title":"A heuristic for the synthesis of credible operating states in the presence of renewable energy sources","authors":"Edgar Nuño, N. Cutululis","doi":"10.1109/PMAPS.2016.7764168","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764168","url":null,"abstract":"Experience has shown the limitations of deterministic criteria when accommodating the intrinsic uncertainties associated to modern power systems. Hereof, probabilistic risk assessment represent a powerful enhancement in order to ensure the overall power system reliability rather than a worst-case scenario analysis. This paper presents a general-purpose methodology intended to generate plausible operating states. The main focus lies on the generation of correlated random samples using a heuristic of the NORmal-to-Anything (NORTA) method. The proposed methodology was applied to model wind generation in the Danish Western power system, analyzing the effect of the marginal distributions and errors in the correlation matrix definition.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124120374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764179
Haodi Li, Lingfeng Wang, Yingmeng Xiang, Jun Tan, Ruosong Xiao, K. Xie, Yun Xia
Due to the increasing integration of renewable resources and the deployment of energy storage units at the power distribution level, conventional deterministic approaches may not be suitable or effective for evaluating the reliability of active distribution networks anymore. This paper proposes a new method to evaluate the active distribution system reliability including microgrid and energy storage. The power output of distributed generator (DG) within the microgrid is first calculated based on the approach of generalized capacity outage tables (GCOTs). Then Monte Carlo Simulation (MCS) is utilized for performing power system reliability evaluation. The results obtained considering different energy storage capacities are compared. Furthermore, real-time pricing (RTP) strategy is considered in optimizing the control strategy of the energy storage device and the corresponding reliability indices are recalculated.
{"title":"Reliability evaluation of active distribution systems considering energy storage and real-time electricity pricing","authors":"Haodi Li, Lingfeng Wang, Yingmeng Xiang, Jun Tan, Ruosong Xiao, K. Xie, Yun Xia","doi":"10.1109/PMAPS.2016.7764179","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764179","url":null,"abstract":"Due to the increasing integration of renewable resources and the deployment of energy storage units at the power distribution level, conventional deterministic approaches may not be suitable or effective for evaluating the reliability of active distribution networks anymore. This paper proposes a new method to evaluate the active distribution system reliability including microgrid and energy storage. The power output of distributed generator (DG) within the microgrid is first calculated based on the approach of generalized capacity outage tables (GCOTs). Then Monte Carlo Simulation (MCS) is utilized for performing power system reliability evaluation. The results obtained considering different energy storage capacities are compared. Furthermore, real-time pricing (RTP) strategy is considered in optimizing the control strategy of the energy storage device and the corresponding reliability indices are recalculated.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128433057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764157
A. Mutule, Ervin Grebesh, I. Oleinikova, A. Obushevs
In this work, a concept for overhead power line weak point analysis based on the calculation of minimal clearance to ground is presented. Line temperature should be known before mechanical calculations are performed. For that purpose IEEE 738 Std. was taken. Calculation accuracy was previously verified by authors with real line parameters and described in the paper. To calculate thermal behavior of conductor, several parameters should be known, such as wind speed, wind direction and ambient weather temperature. These data were artificially generated from three weather stations ten years' time series located near to the line. To acquire the data on line, the interpolation geostatistical toolbox was used. Several line weak points were revealed. Line weak point position can be used as an area where monitoring equipment for dynamic line rating should be installed when the transmission system operator has an economical restriction, and it is impossible to have multiple areas for DLR equipment installation.
{"title":"Overhead line weak point mechanical analysis based on Markov chain method","authors":"A. Mutule, Ervin Grebesh, I. Oleinikova, A. Obushevs","doi":"10.1109/PMAPS.2016.7764157","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764157","url":null,"abstract":"In this work, a concept for overhead power line weak point analysis based on the calculation of minimal clearance to ground is presented. Line temperature should be known before mechanical calculations are performed. For that purpose IEEE 738 Std. was taken. Calculation accuracy was previously verified by authors with real line parameters and described in the paper. To calculate thermal behavior of conductor, several parameters should be known, such as wind speed, wind direction and ambient weather temperature. These data were artificially generated from three weather stations ten years' time series located near to the line. To acquire the data on line, the interpolation geostatistical toolbox was used. Several line weak points were revealed. Line weak point position can be used as an area where monitoring equipment for dynamic line rating should be installed when the transmission system operator has an economical restriction, and it is impossible to have multiple areas for DLR equipment installation.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128573432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764188
Lesia Mitridati, P. Pinson
The large penetration of renewables in the power system increases the need for flexibility. Flexibility gains and wind curtailment reduction can be achieved through a better coordination with other energy systems, in particular with district heating. Loose interactions between these two systems already exist due to the participation of CHPs in both markets. New market structures must be developed in order to exploit these synergies. Recognizing the above-mentioned challenges this paper proposes a stochastic hierarchical formulation of the heat economic dispatch problem in a system with high penetration of CHPs and wind. The objective of this optimization problem is to minimize the heat production cost, subject to constraints describing day-ahead electricity market clearing scenarios. Uncertainties concerning wind power production, electricity demand and rival participants offers are efficiently modelled using a finite set of scenarios. This model takes advantage of existing market structures and provides a decision-making tool for heat system operators. The proposed model is implemented in a case study and results are discussed to show the benefits and applicability of this approach.
{"title":"Optimal coupling of heat and electricity systems: A stochastic hierarchical approach","authors":"Lesia Mitridati, P. Pinson","doi":"10.1109/PMAPS.2016.7764188","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764188","url":null,"abstract":"The large penetration of renewables in the power system increases the need for flexibility. Flexibility gains and wind curtailment reduction can be achieved through a better coordination with other energy systems, in particular with district heating. Loose interactions between these two systems already exist due to the participation of CHPs in both markets. New market structures must be developed in order to exploit these synergies. Recognizing the above-mentioned challenges this paper proposes a stochastic hierarchical formulation of the heat economic dispatch problem in a system with high penetration of CHPs and wind. The objective of this optimization problem is to minimize the heat production cost, subject to constraints describing day-ahead electricity market clearing scenarios. Uncertainties concerning wind power production, electricity demand and rival participants offers are efficiently modelled using a finite set of scenarios. This model takes advantage of existing market structures and provides a decision-making tool for heat system operators. The proposed model is implemented in a case study and results are discussed to show the benefits and applicability of this approach.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128046903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764111
F. Chen, Yi Dai, Zhouyang Ren, Wenyuan Li
This paper presents a spare strategy of circuit breakers (CBs) considering aging failures based on condition monitoring data. The monitoring data are used to estimate the functional ages of CBs and the aging failure rates of CBs are calculated using the functional ages. The loss-of-load damage costs caused by both repairable and aging failures of CBs are evaluated together with the investment of spares. The number and timing of spare CBs can be determined by comparing the damage cost reductions due to spares with the additional investment costs. The proposed strategy is applied to a substation located in the south China to demonstrate the effectiveness of the proposed method.
{"title":"A spare strategy of circuit breakers considering aging failures","authors":"F. Chen, Yi Dai, Zhouyang Ren, Wenyuan Li","doi":"10.1109/PMAPS.2016.7764111","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764111","url":null,"abstract":"This paper presents a spare strategy of circuit breakers (CBs) considering aging failures based on condition monitoring data. The monitoring data are used to estimate the functional ages of CBs and the aging failure rates of CBs are calculated using the functional ages. The loss-of-load damage costs caused by both repairable and aging failures of CBs are evaluated together with the investment of spares. The number and timing of spare CBs can be determined by comparing the damage cost reductions due to spares with the additional investment costs. The proposed strategy is applied to a substation located in the south China to demonstrate the effectiveness of the proposed method.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130496696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764139
Jian Wang, Zongxiang Lu, Ying Qiao, Guiping Zhu
Wind curtailment is a severe problem in wind power development in China and demand response is considered to be one of the resources that have great potential to promote the utilization of wind power. This paper proposes a new day-ahead generation schedule model with demand response scheme in the background of joint operation of wind farms and high energy consuming loads. Considering the stochastic character of wind power, risk evaluation and corresponding optimization method is applied. The objective for this model is to minimize the secure and economic risks of wind power and the cost of thermal power units comprehensively. Detailed model and evaluation method are shown in this paper. The simulation results illustrate that this model presents better performance in reducing the wind curtailment ratio and operating cost compared with the demand response model without consideration of risks of wind power.
{"title":"Day-ahead generation schedule model with demand response considering the secure and economic risks of wind power","authors":"Jian Wang, Zongxiang Lu, Ying Qiao, Guiping Zhu","doi":"10.1109/PMAPS.2016.7764139","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764139","url":null,"abstract":"Wind curtailment is a severe problem in wind power development in China and demand response is considered to be one of the resources that have great potential to promote the utilization of wind power. This paper proposes a new day-ahead generation schedule model with demand response scheme in the background of joint operation of wind farms and high energy consuming loads. Considering the stochastic character of wind power, risk evaluation and corresponding optimization method is applied. The objective for this model is to minimize the secure and economic risks of wind power and the cost of thermal power units comprehensively. Detailed model and evaluation method are shown in this paper. The simulation results illustrate that this model presents better performance in reducing the wind curtailment ratio and operating cost compared with the demand response model without consideration of risks of wind power.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130193361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764215
M. D. da Rosa, G. Bolacell, I. Costa, D. Calado, D. Issicaba
Distribution Power System performance assessment is usually based on continuity indicators and power quality measurements. Generally, these evaluations are performed using distinct mechanisms, where continuity is assessed by past network performance observations and/or predicted simulation, whereas power quality is evaluated using electronic measurements. In fact, the concepts of reliability and power quality are dissociated, mainly when distribution power system performance is assessed. However, the current diversity of loads and sources, with more sensitivity to voltage variations, requires a wider ranging of power system tools, which consider aspects of both continuity and power quality effects. Aiming for a distribution systems performance approach that considers both reliability and power quality issues into a unique evaluation framework, aspects related to the systems voltage as well as distorting phenomena affecting the voltage waveform need to be modeled. This paper proposes the impact assessment of network geometric model on power quality indices using simulation techniques. The main idea is to include a short-circuit model into a sequential Monte Carlo algorithm in order to assess power quality indices through estimates. The proposed methodology is applied to the IEEE test feeder with 34 nodes.
{"title":"Impact evaluation of the network geometric model on power quality indices using probabilistic techniques","authors":"M. D. da Rosa, G. Bolacell, I. Costa, D. Calado, D. Issicaba","doi":"10.1109/PMAPS.2016.7764215","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764215","url":null,"abstract":"Distribution Power System performance assessment is usually based on continuity indicators and power quality measurements. Generally, these evaluations are performed using distinct mechanisms, where continuity is assessed by past network performance observations and/or predicted simulation, whereas power quality is evaluated using electronic measurements. In fact, the concepts of reliability and power quality are dissociated, mainly when distribution power system performance is assessed. However, the current diversity of loads and sources, with more sensitivity to voltage variations, requires a wider ranging of power system tools, which consider aspects of both continuity and power quality effects. Aiming for a distribution systems performance approach that considers both reliability and power quality issues into a unique evaluation framework, aspects related to the systems voltage as well as distorting phenomena affecting the voltage waveform need to be modeled. This paper proposes the impact assessment of network geometric model on power quality indices using simulation techniques. The main idea is to include a short-circuit model into a sequential Monte Carlo algorithm in order to assess power quality indices through estimates. The proposed methodology is applied to the IEEE test feeder with 34 nodes.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764109
Liu Keyan, Jia Dongli, He Kaiyuan, Zhao Tingting, Zhao Fengzhan
With the rapid development of intelligent distribution network, the uncertainty of the load and the randomness of distributed generation have brought new challenges to distribution network control operation especial in reactive power optimization. This paper uses probabilistic power flow algorithm based on three-point estimate method to solve the uncertainty caused by power flow calculation in the stochastic models of load and wind power so as to propose a method of information entropy principle to measure the voltage fluctuation. On the basis of this method, a model of probabilistic reactive power optimization considering minimum network loss and voltage fluctuation is built. Taking the IEEE 33 nodes system which contains wind power generation as an example and we draw a conclusion that if we add the minimum voltage entropy to multi-objective reactive power optimization objective function, the probability distribution of node voltage is more centralized than that of single objective reactive power optimization. Thus, to optimize reactive power by means of this model could improve the voltage stability of the system and make the voltage distribution near a certain value that within the scope of control in large probability. The proposed multi-objective probabilistic reactive power optimization model is suitable for the actual distribution network reactive voltage control with random properties.
{"title":"Research on probabilistic reactive power optimization considering the randomness of distribution network","authors":"Liu Keyan, Jia Dongli, He Kaiyuan, Zhao Tingting, Zhao Fengzhan","doi":"10.1109/PMAPS.2016.7764109","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764109","url":null,"abstract":"With the rapid development of intelligent distribution network, the uncertainty of the load and the randomness of distributed generation have brought new challenges to distribution network control operation especial in reactive power optimization. This paper uses probabilistic power flow algorithm based on three-point estimate method to solve the uncertainty caused by power flow calculation in the stochastic models of load and wind power so as to propose a method of information entropy principle to measure the voltage fluctuation. On the basis of this method, a model of probabilistic reactive power optimization considering minimum network loss and voltage fluctuation is built. Taking the IEEE 33 nodes system which contains wind power generation as an example and we draw a conclusion that if we add the minimum voltage entropy to multi-objective reactive power optimization objective function, the probability distribution of node voltage is more centralized than that of single objective reactive power optimization. Thus, to optimize reactive power by means of this model could improve the voltage stability of the system and make the voltage distribution near a certain value that within the scope of control in large probability. The proposed multi-objective probabilistic reactive power optimization model is suitable for the actual distribution network reactive voltage control with random properties.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130072046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2016-10-01DOI: 10.1109/PMAPS.2016.7764152
Heping Jia, Yi Ding, Yonghua Song, Weidong Liu, Lijun Zhang, Yikai Sun
With the development of information and communication technologies, flexible loads have become more and more popular to participate in the two-way interaction between power generation and consumption. However, the growing proportion of flexible loads has made the reliability of smart grids different from that of traditional power systems. In this paper, time-varying load model including flexible loads has been represented by developed Markov process model. Load curtailment and shifting have been considered in the developed Markov model for flexible loads. Moreover, time-sequential simulation procedures of reliability evaluation for distribution systems considering flexible loads have been developed. The proposed techniques have been validated to the modified IEEE RBTS.
{"title":"Reliability evaluation for distribution systems considering flexible loads utilizing time-sequential simulation techniques","authors":"Heping Jia, Yi Ding, Yonghua Song, Weidong Liu, Lijun Zhang, Yikai Sun","doi":"10.1109/PMAPS.2016.7764152","DOIUrl":"https://doi.org/10.1109/PMAPS.2016.7764152","url":null,"abstract":"With the development of information and communication technologies, flexible loads have become more and more popular to participate in the two-way interaction between power generation and consumption. However, the growing proportion of flexible loads has made the reliability of smart grids different from that of traditional power systems. In this paper, time-varying load model including flexible loads has been represented by developed Markov process model. Load curtailment and shifting have been considered in the developed Markov model for flexible loads. Moreover, time-sequential simulation procedures of reliability evaluation for distribution systems considering flexible loads have been developed. The proposed techniques have been validated to the modified IEEE RBTS.","PeriodicalId":265474,"journal":{"name":"2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122579547","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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