Pub Date : 2017-09-01DOI: 10.1109/ISAP.2017.8071399
R. Teive, E. A. C. Neto, F. L. R. Mussoi, A. Rese, J. Coelho, F. F. Andrade, F. L. Cardoso, F. Nogueira, J. P. Parreira
The performance evaluation of distribution network operators is essential for the electrical utilities to know how prepared the operators are to execute their operation standards and rules, searching for minimizing the time of power outage, after some contingency. The performance of operators can be evaluated by the impact of their actions on several technical and economic indicators of the distribution system. This issue is a complex problem, whose solution involves necessarily some expertise and a multi-criteria evaluation. This paper presents a Tutorial Expert System (TES) for performance evaluation of electrical distribution network operators after a given contingency in the electrical network. The proposed TES guides the evaluation process, taking into account technical, economic and personal criteria, aiding the quantification of these criteria. A case study based on real data demonstrates the applicability of the performance evaluation procedure of distribution network operators.
{"title":"Intelligent system for automatic performance evaluation of distribution system operators","authors":"R. Teive, E. A. C. Neto, F. L. R. Mussoi, A. Rese, J. Coelho, F. F. Andrade, F. L. Cardoso, F. Nogueira, J. P. Parreira","doi":"10.1109/ISAP.2017.8071399","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071399","url":null,"abstract":"The performance evaluation of distribution network operators is essential for the electrical utilities to know how prepared the operators are to execute their operation standards and rules, searching for minimizing the time of power outage, after some contingency. The performance of operators can be evaluated by the impact of their actions on several technical and economic indicators of the distribution system. This issue is a complex problem, whose solution involves necessarily some expertise and a multi-criteria evaluation. This paper presents a Tutorial Expert System (TES) for performance evaluation of electrical distribution network operators after a given contingency in the electrical network. The proposed TES guides the evaluation process, taking into account technical, economic and personal criteria, aiding the quantification of these criteria. A case study based on real data demonstrates the applicability of the performance evaluation procedure of distribution network operators.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114516316","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071366
P. J. Colorado, D. L. Silva, A. Grilo
There is an increase interest for islanding operation of distributed generators (DG) due to economical and technical reasons. However, the control strategy applied to the DG is different for grid connected and islanding conditions, which demands identifying the DG connection status. This paper presents a methodology for detecting the DG connection status. The methodology is able to detect the occurrence of an islanding event or the reconnection of the DG to the utility grid. The developed method is based on a disturbance in the torque applied to the generator and it does not depend on communication systems. According to the response of this disturbance, it will be possible to identify whether the DG is connected to the utility grid or not.
{"title":"Methodology for islanding operation of distributed synchronous generators","authors":"P. J. Colorado, D. L. Silva, A. Grilo","doi":"10.1109/ISAP.2017.8071366","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071366","url":null,"abstract":"There is an increase interest for islanding operation of distributed generators (DG) due to economical and technical reasons. However, the control strategy applied to the DG is different for grid connected and islanding conditions, which demands identifying the DG connection status. This paper presents a methodology for detecting the DG connection status. The methodology is able to detect the occurrence of an islanding event or the reconnection of the DG to the utility grid. The developed method is based on a disturbance in the torque applied to the generator and it does not depend on communication systems. According to the response of this disturbance, it will be possible to identify whether the DG is connected to the utility grid or not.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114824832","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071419
Yuting Tian, Niannian Cai, M. Benidris, Atri Bera, J. Mitra, C. Singh
This paper introduces an enhanced Genetic Algorithm (GA) that uses the concept of sensitivity analysis to develop an encoding strategy for improving the computational efficiency of the search process. The objective is to determine the optimal placement of distributed energy resources (DERs) with minimum generation cost. Locational Marginal Price (LMP) is employed as an indicator to quantify the need for additional generation at candidate locations. LMP at each node is determined from Lagrange multipliers associated with the power balance equation at that node. By renumbering and encoding the locations based on their LMP ranks, desired candidate locations are gathered and encoded to share more common genes. Then, genetic algorithm is utilized along with the AC optimal power flow model to search for the optimal locations for distributed energy resources with varied sizes. The method is demonstrated on several test systems, including IEEE 14,30,57 and 118 bus test systems. The placement of DERs with minimum generation cost is found and the results validate the improvement in convergence speed.
{"title":"Sensitivity guided genetic algorithm for placement of distributed energy resources","authors":"Yuting Tian, Niannian Cai, M. Benidris, Atri Bera, J. Mitra, C. Singh","doi":"10.1109/ISAP.2017.8071419","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071419","url":null,"abstract":"This paper introduces an enhanced Genetic Algorithm (GA) that uses the concept of sensitivity analysis to develop an encoding strategy for improving the computational efficiency of the search process. The objective is to determine the optimal placement of distributed energy resources (DERs) with minimum generation cost. Locational Marginal Price (LMP) is employed as an indicator to quantify the need for additional generation at candidate locations. LMP at each node is determined from Lagrange multipliers associated with the power balance equation at that node. By renumbering and encoding the locations based on their LMP ranks, desired candidate locations are gathered and encoded to share more common genes. Then, genetic algorithm is utilized along with the AC optimal power flow model to search for the optimal locations for distributed energy resources with varied sizes. The method is demonstrated on several test systems, including IEEE 14,30,57 and 118 bus test systems. The placement of DERs with minimum generation cost is found and the results validate the improvement in convergence speed.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123435899","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071395
M. Kamal, Jin Wei, G. Mendis
This paper proposes an attack-resilient ANFIS-DBN based energy management architecture for a hybrid emergency power system of More-Electric Aircrafts (MEAs). Our proposed architecture develops a Deep Belief Network (DBN) stacked Adaptive Neuro-Fuzzy Interference System (ANFIS)-based method to evaluate the integrity of the power output of the fuel-cell in the fuel-cell based hybrid auxiliary power unit (APU), which is vulnerable to the cyber-attacks and critical for the effective energy management and emergency control. Our ANFIS-DBN-based method achieves the integrity evaluation by leveraging the real-time measures on the State of Charge (SOC) of the battery, power output of the ultra-capacitor and the load profile. In our simulation, we evaluate the performance of our proposed ANFIS-DBN-based method to support the integrity of the Energy Management Strategies (EMSs) used in hybrid emergency power system for more-electric aircrafts by using MATLAB/Simulink. Our simulation results illustrate the effectiveness of our proposed method in effectively evaluating the integrity of critical data and achieving resilient control.
{"title":"Data-driven energy management architecture for more-electric aircrafts","authors":"M. Kamal, Jin Wei, G. Mendis","doi":"10.1109/ISAP.2017.8071395","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071395","url":null,"abstract":"This paper proposes an attack-resilient ANFIS-DBN based energy management architecture for a hybrid emergency power system of More-Electric Aircrafts (MEAs). Our proposed architecture develops a Deep Belief Network (DBN) stacked Adaptive Neuro-Fuzzy Interference System (ANFIS)-based method to evaluate the integrity of the power output of the fuel-cell in the fuel-cell based hybrid auxiliary power unit (APU), which is vulnerable to the cyber-attacks and critical for the effective energy management and emergency control. Our ANFIS-DBN-based method achieves the integrity evaluation by leveraging the real-time measures on the State of Charge (SOC) of the battery, power output of the ultra-capacitor and the load profile. In our simulation, we evaluate the performance of our proposed ANFIS-DBN-based method to support the integrity of the Energy Management Strategies (EMSs) used in hybrid emergency power system for more-electric aircrafts by using MATLAB/Simulink. Our simulation results illustrate the effectiveness of our proposed method in effectively evaluating the integrity of critical data and achieving resilient control.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"672 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126921195","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071392
Andrew Klem, Kaveh Dehghanpour, H. Nehrir
Conventionally, droop control has been used for primary frequency control, allowing generators to share imbalances in generation and load. This paper proposes the use of different types of droop-based control logics for load regulation to turn on or off groups of loads to help restore the system power balance. The proposed droop-based controllers are used by an aggregator to identify individual loads that can be used for demand response (DR) and control them according to their assigned priority. This procedure incorporates an incentive provided by the utility to the customer to allow control of their loads. Also, we will show that droop control can be used on a variety of resources in an MG at the same time, including energy storage system (ESS), generator, and loads to cooperatively contribute to frequency stabilization. Numerical experiments presented show that the proposed method is an effective way to prevent large frequency deviations due to variations in renewable generation and power contingencies in islanded MGs.
{"title":"Primary frequency regulation in islandec microgrids through droop-based generation and demand control","authors":"Andrew Klem, Kaveh Dehghanpour, H. Nehrir","doi":"10.1109/ISAP.2017.8071392","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071392","url":null,"abstract":"Conventionally, droop control has been used for primary frequency control, allowing generators to share imbalances in generation and load. This paper proposes the use of different types of droop-based control logics for load regulation to turn on or off groups of loads to help restore the system power balance. The proposed droop-based controllers are used by an aggregator to identify individual loads that can be used for demand response (DR) and control them according to their assigned priority. This procedure incorporates an incentive provided by the utility to the customer to allow control of their loads. Also, we will show that droop control can be used on a variety of resources in an MG at the same time, including energy storage system (ESS), generator, and loads to cooperatively contribute to frequency stabilization. Numerical experiments presented show that the proposed method is an effective way to prevent large frequency deviations due to variations in renewable generation and power contingencies in islanded MGs.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131449675","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071421
Hao Ming, Le Xie
This paper addresses a computational issue of solving stochastic economic dispatch with the participation of uncertain demand response providers. In particular, we study the linear constraints in the chance constrained formulation of the dispatch problem. A semi-analytical method is proposed to simplify the formulation and computation of chance constraints in the economic dispatch problem. Compared with existing methods such as deterministic, analytical method and sample-based approaches, the advantage of the semi-analytical method lies in its lower computational cost, controllable level of risk and low information exchange between agents and the independent system operator. Numerical results on the IEEE 14 bus system with two demand response providers illustrate the potential efficacy of the proposed method.
{"title":"A semi-analytical method to solve chance constrained stochastic economic dispatch with demand response providers","authors":"Hao Ming, Le Xie","doi":"10.1109/ISAP.2017.8071421","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071421","url":null,"abstract":"This paper addresses a computational issue of solving stochastic economic dispatch with the participation of uncertain demand response providers. In particular, we study the linear constraints in the chance constrained formulation of the dispatch problem. A semi-analytical method is proposed to simplify the formulation and computation of chance constraints in the economic dispatch problem. Compared with existing methods such as deterministic, analytical method and sample-based approaches, the advantage of the semi-analytical method lies in its lower computational cost, controllable level of risk and low information exchange between agents and the independent system operator. Numerical results on the IEEE 14 bus system with two demand response providers illustrate the potential efficacy of the proposed method.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130509056","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071372
Md Arifin Arif, M. Ndoye, G. Murphy, K. Aganah
Voltage control and reactive power management are two critically important criteria for ensuring quality power delivery and system stability in the grid. As the two issues are coupled, they have been generally tackled simultaneously. In this paper, we utilize the concept of stochastic game modeling from game theory to develop a novel algorithm to solve the multi-objective optimization (MOO) problem of reactive power reserve maximization and voltage profile improvement. The MOO is first reduced to a single objective optimization (SOO) problem using the weighted-sum (or scalarization method). The solution to the SOO problem is then viewed as the equilibrium solution of a stochastic game. The algorithm that implements our proposed solution concept is validated in MATLAB/MATPOWER using the IEEE-39 (New England) bus system model, and very encouraging results are reported.
{"title":"A stochastic game framework for reactive power reserve optimization and voltage profile improvement","authors":"Md Arifin Arif, M. Ndoye, G. Murphy, K. Aganah","doi":"10.1109/ISAP.2017.8071372","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071372","url":null,"abstract":"Voltage control and reactive power management are two critically important criteria for ensuring quality power delivery and system stability in the grid. As the two issues are coupled, they have been generally tackled simultaneously. In this paper, we utilize the concept of stochastic game modeling from game theory to develop a novel algorithm to solve the multi-objective optimization (MOO) problem of reactive power reserve maximization and voltage profile improvement. The MOO is first reduced to a single objective optimization (SOO) problem using the weighted-sum (or scalarization method). The solution to the SOO problem is then viewed as the equilibrium solution of a stochastic game. The algorithm that implements our proposed solution concept is validated in MATLAB/MATPOWER using the IEEE-39 (New England) bus system model, and very encouraging results are reported.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124220085","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071384
Yazhou Jiang, N. Acharya, Yan Pan
A key challenge in properly analyzing the impact of solar photovoltaics (PV) during planning, interconnection and operation in the distribution grid is computational complexity. Such studies require the use of Quasi-Steady-Time-Series (qSTS) power flow to capture the complex interaction of PV with voltage regulating equipment and protection devices and a large number of scenario studies are needed to capture location specific constraints and uncertainties. In addition, a typical distribution feeder can have thousands of nodes and there can be thousands of such feeders in a given utility system. To solve this problem, a new and systematic method for distribution network reduction is proposed. The objective is to reduce the size of distribution systems by more than 80% while preserving the accuracy of power flow results. To this end, an extended Ward-equivalent method has been proposed to create an equivalent circuit. Moreover, load and PV aggregation based on the backward sweep method has been developed to further simplify the feeder. The proposed method is tested with a modified IEEE 123-node distribution test system. The simulation results demonstrate the high efficiency and accuracy of the proposed approach for distribution network reduction.
{"title":"Model reduction for fast assessment of grid impact of high penetration PV","authors":"Yazhou Jiang, N. Acharya, Yan Pan","doi":"10.1109/ISAP.2017.8071384","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071384","url":null,"abstract":"A key challenge in properly analyzing the impact of solar photovoltaics (PV) during planning, interconnection and operation in the distribution grid is computational complexity. Such studies require the use of Quasi-Steady-Time-Series (qSTS) power flow to capture the complex interaction of PV with voltage regulating equipment and protection devices and a large number of scenario studies are needed to capture location specific constraints and uncertainties. In addition, a typical distribution feeder can have thousands of nodes and there can be thousands of such feeders in a given utility system. To solve this problem, a new and systematic method for distribution network reduction is proposed. The objective is to reduce the size of distribution systems by more than 80% while preserving the accuracy of power flow results. To this end, an extended Ward-equivalent method has been proposed to create an equivalent circuit. Moreover, load and PV aggregation based on the backward sweep method has been developed to further simplify the feeder. The proposed method is tested with a modified IEEE 123-node distribution test system. The simulation results demonstrate the high efficiency and accuracy of the proposed approach for distribution network reduction.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123301425","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071413
Kaveh Dehghanpour, H. Nehrir
In this paper, we propose a decision model for multiobjective power management of a generic MicroGrid (MG). The concept of Nash Bargaining Solution (NBS) from game theory is used by the central MG control unit to dispatch different resources within the MG. Using NBS, the MG is guaranteed to reach a solution on the Pareto-front of the multiobjective power management optimization problem. This solution is "unique" and introduces a "fair" balance among the different objective functions of the MG. Hence, through NBS, a multiobjective power management procedure is designed for MGs that can be implemented efficiently in real-time. Simulation results show the applicability of the proposed method to multiobjective MG power management.
{"title":"Intelligent microgrid power management using the concept of Nash bargaining solution","authors":"Kaveh Dehghanpour, H. Nehrir","doi":"10.1109/ISAP.2017.8071413","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071413","url":null,"abstract":"In this paper, we propose a decision model for multiobjective power management of a generic MicroGrid (MG). The concept of Nash Bargaining Solution (NBS) from game theory is used by the central MG control unit to dispatch different resources within the MG. Using NBS, the MG is guaranteed to reach a solution on the Pareto-front of the multiobjective power management optimization problem. This solution is \"unique\" and introduces a \"fair\" balance among the different objective functions of the MG. Hence, through NBS, a multiobjective power management procedure is designed for MGs that can be implemented efficiently in real-time. Simulation results show the applicability of the proposed method to multiobjective MG power management.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125209078","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 : 2017-09-01DOI: 10.1109/ISAP.2017.8071401
J. López, Chan-nan Lu
Phaser Measurement Units (PMUs) enable several online critical applications, such as State Estimation (SE) and stability monitoring enhancement where the dynamic behavior of the electric network is supervised in order to maintain a reliable power supply. However, due to the cost of PMUs, identifying key locations for installation is essential. Several PMU allocation algorithms have been suggested. Two PMU placement formulations for enhancing the instability detection are studied and their performance is assessed. These are the Lyapunov Exponent and the Correlation Matrix based methods. Simulated PMU data obtained from the optimal locations are tested in an intelligent system stability detection framework. Test results on a practical 1646 bus network are presented.
{"title":"A comparison of placement methods for collecting PMU data used in angular stability detection","authors":"J. López, Chan-nan Lu","doi":"10.1109/ISAP.2017.8071401","DOIUrl":"https://doi.org/10.1109/ISAP.2017.8071401","url":null,"abstract":"Phaser Measurement Units (PMUs) enable several online critical applications, such as State Estimation (SE) and stability monitoring enhancement where the dynamic behavior of the electric network is supervised in order to maintain a reliable power supply. However, due to the cost of PMUs, identifying key locations for installation is essential. Several PMU allocation algorithms have been suggested. Two PMU placement formulations for enhancing the instability detection are studied and their performance is assessed. These are the Lyapunov Exponent and the Correlation Matrix based methods. Simulated PMU data obtained from the optimal locations are tested in an intelligent system stability detection framework. Test results on a practical 1646 bus network are presented.","PeriodicalId":257100,"journal":{"name":"2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"77 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126808568","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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