Pub Date : 2020-12-16DOI: 10.1109/SGC52076.2020.9335764
Mahdi Mosayebi, A. Ketabi
Advancement of power electronic systems and DC microgrids (DCMGs) causes a trend toward the realization of smart homes (SHs). Intelligent SHs comprise several renewable energy sources (RESs), energy storage systems (ESSs) and DC loads, which are integrated into the DCMG. In the SH, several loads such as washers and dryers, home appliances, and Heating, Ventilation and Air Conditioning (HVAC) systems are connected to the DC bus. Among them, HVAC systems in the SHs behave as a constant power load (CPL), which can affect the stability of the related power electronic converters in the DCMG. Due to the negative impedance characteristic of the HVAC systems in the SHs, eliminating the destructive behavior of these CPLs is a necessity. This paper presents a novel fractional order general type-2 fuzzy logic proportional-integral-derivative (FOGT2FPID) controller to solve the instability problem of the power electronic converters feeding HV AC system in the DCMG. Hardware-in-the-loop (HIL) experimental tests are carried out to verify the effectiveness and applicability of the proposed controller.
{"title":"A Robust Controller for Stabilization HVAC Systems in Smart Homes","authors":"Mahdi Mosayebi, A. Ketabi","doi":"10.1109/SGC52076.2020.9335764","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335764","url":null,"abstract":"Advancement of power electronic systems and DC microgrids (DCMGs) causes a trend toward the realization of smart homes (SHs). Intelligent SHs comprise several renewable energy sources (RESs), energy storage systems (ESSs) and DC loads, which are integrated into the DCMG. In the SH, several loads such as washers and dryers, home appliances, and Heating, Ventilation and Air Conditioning (HVAC) systems are connected to the DC bus. Among them, HVAC systems in the SHs behave as a constant power load (CPL), which can affect the stability of the related power electronic converters in the DCMG. Due to the negative impedance characteristic of the HVAC systems in the SHs, eliminating the destructive behavior of these CPLs is a necessity. This paper presents a novel fractional order general type-2 fuzzy logic proportional-integral-derivative (FOGT2FPID) controller to solve the instability problem of the power electronic converters feeding HV AC system in the DCMG. Hardware-in-the-loop (HIL) experimental tests are carried out to verify the effectiveness and applicability of the proposed controller.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114391432","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335752
A. Karimi, A. Ahmadi, Z. Shahbazi, H. Bevrani, Q. Shafiee
In recent years, cyber-attacks on communication links became an interesting research topic in various fields. In general, the aim of these attacks is to disrupt the system operation by corrupting the exchanged information, sever communication links, etc. Distributed control is an attractive alternative to centralized control, however, this control architecture is vulnerable to cyber-attacks due to exchange information between different units. In this paper, the impact of cyber-attacks on distributed control of DC microgrids is studied. Impact of three common attacks in microgrids i.e., controller hijacking, false data injection, and denial of service is evaluated. To do so, four secondary control methods proposed in the literature for achieving output voltage restoration and current sharing accuracy of DC microgrids are considered. In this work, the cyber-attacks impact on communication links are modeled. Using the models, vulnerability comparison of the secondary control methods against cyber-attacks is performed. A DC microgrid with three units is built in SIMULINK/MATLAB environment in order to make the comparison studies.
{"title":"On the Impact of Cyber-Attacks on Distributed Secondary Control of DC Microgrids","authors":"A. Karimi, A. Ahmadi, Z. Shahbazi, H. Bevrani, Q. Shafiee","doi":"10.1109/SGC52076.2020.9335752","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335752","url":null,"abstract":"In recent years, cyber-attacks on communication links became an interesting research topic in various fields. In general, the aim of these attacks is to disrupt the system operation by corrupting the exchanged information, sever communication links, etc. Distributed control is an attractive alternative to centralized control, however, this control architecture is vulnerable to cyber-attacks due to exchange information between different units. In this paper, the impact of cyber-attacks on distributed control of DC microgrids is studied. Impact of three common attacks in microgrids i.e., controller hijacking, false data injection, and denial of service is evaluated. To do so, four secondary control methods proposed in the literature for achieving output voltage restoration and current sharing accuracy of DC microgrids are considered. In this work, the cyber-attacks impact on communication links are modeled. Using the models, vulnerability comparison of the secondary control methods against cyber-attacks is performed. A DC microgrid with three units is built in SIMULINK/MATLAB environment in order to make the comparison studies.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114595601","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335755
Sirwan Shazdeh, H. Golpîra, C. Bak, H. Bevrani
As the recent power systems operate in a low stability margin due to the economic and environmental issues, any misinterpretation might lead the power system to cascading outage and catastrophic blackouts. In these circumstances, stressed conditions such as power swing, voltage instability, and load encroachment, which have a similar nature with the symmetrical faults, might mistakenly interpret as fault situations and cause the mis-operation of the distance protection systems. This issue causes the power system stability margin leads toward much more lower than the before and, even to a blackout. With these considerations, in this paper, a PMU-based wide-area back-up protection scheme is proposed for avoiding of the distance protection systems mis-operation. In the proposed method, first, an equivalent circuit between each two PMU-buses in the determined vulnerable area is obtained. Then, based on the behavior of the equivalent circuit variables during the disturbance, the symmetrical fault is discriminated from the other events. The validation of the introduced method is evaluated on the two-area power system in MATLAB/SIMULINK.
{"title":"A Wide-Area Back-Up Protection Scheme for Discrimination of Symmetrical Faults from Power Swing and Load Encroachment","authors":"Sirwan Shazdeh, H. Golpîra, C. Bak, H. Bevrani","doi":"10.1109/SGC52076.2020.9335755","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335755","url":null,"abstract":"As the recent power systems operate in a low stability margin due to the economic and environmental issues, any misinterpretation might lead the power system to cascading outage and catastrophic blackouts. In these circumstances, stressed conditions such as power swing, voltage instability, and load encroachment, which have a similar nature with the symmetrical faults, might mistakenly interpret as fault situations and cause the mis-operation of the distance protection systems. This issue causes the power system stability margin leads toward much more lower than the before and, even to a blackout. With these considerations, in this paper, a PMU-based wide-area back-up protection scheme is proposed for avoiding of the distance protection systems mis-operation. In the proposed method, first, an equivalent circuit between each two PMU-buses in the determined vulnerable area is obtained. Then, based on the behavior of the equivalent circuit variables during the disturbance, the symmetrical fault is discriminated from the other events. The validation of the introduced method is evaluated on the two-area power system in MATLAB/SIMULINK.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132484012","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335771
M. Rajabinezhad, J. Guerrero
The intermittent nature of produced power of renewable energy sources (RES) causes adverse impacts on the stability of system frequency and reduction of power quality at the point of common coupling (PCC). In this paper, a Battery Energy Storage System (BESS) is used to smooth the power fluctuations. The proposed control system consists of three control levels. The advantages of the control strategy are the battery life-cycle enhancement based on the variable time constant low-pass filter and two-stage battery protection through power smoothing while the voltage at the PCC is also kept stable. To validate the effectiveness of the control system a simulation study has been done in MATLAB/Simulink. The results confirm that the proposed control system reduces the RES output power fluctuations effectively and supports the voltage at PCC. Besides, the voltage oscillation at PCC is mitigated while protection of the battery from overcharge and over-discharge is also provided.
{"title":"A Three-Level Control Strategy for Battery Energy Storage System to Mitigate Power fluctuations and Compensate Reactive Power of Distributed Generators in a Microgrid","authors":"M. Rajabinezhad, J. Guerrero","doi":"10.1109/SGC52076.2020.9335771","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335771","url":null,"abstract":"The intermittent nature of produced power of renewable energy sources (RES) causes adverse impacts on the stability of system frequency and reduction of power quality at the point of common coupling (PCC). In this paper, a Battery Energy Storage System (BESS) is used to smooth the power fluctuations. The proposed control system consists of three control levels. The advantages of the control strategy are the battery life-cycle enhancement based on the variable time constant low-pass filter and two-stage battery protection through power smoothing while the voltage at the PCC is also kept stable. To validate the effectiveness of the control system a simulation study has been done in MATLAB/Simulink. The results confirm that the proposed control system reduces the RES output power fluctuations effectively and supports the voltage at PCC. Besides, the voltage oscillation at PCC is mitigated while protection of the battery from overcharge and over-discharge is also provided.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131504889","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335751
S. Mousavi, T. Barforoushi
Significant capacity of wind power producers (WPPs) compared to the total installed generation grants a dominant position to these producers in the market environment. Accordingly, The present study concerns the optimal offering strategy of a strategic WPP. The price-maker WPP offers to day-ahead (DA) and intraday (ID) markets to manipulate prices in order to attain further profits. Also, it compensates its deviations of production in the balancing (BAL) market. The proposed framework is a bi-level model that can be formulated as a mathematical program with equilibrium constraints (MPEC). By utilizing the strong duality theorem, Karush-Kuhn-Tucker (KKT) conditions, and the Fortuny-Amat method the problem is transformed into a mixed-integer linear programming (MILP) model. Demand bids, rival producers' offerings, and wind production are incorporated into the model through scenarios. A 3-bus system and IEEE 24-bus RTS are used as case studies to delineate the efficiency of the methodology.
{"title":"Offering Strategy of Wind Power Producers Considering Strategic Position in Intraday Market","authors":"S. Mousavi, T. Barforoushi","doi":"10.1109/SGC52076.2020.9335751","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335751","url":null,"abstract":"Significant capacity of wind power producers (WPPs) compared to the total installed generation grants a dominant position to these producers in the market environment. Accordingly, The present study concerns the optimal offering strategy of a strategic WPP. The price-maker WPP offers to day-ahead (DA) and intraday (ID) markets to manipulate prices in order to attain further profits. Also, it compensates its deviations of production in the balancing (BAL) market. The proposed framework is a bi-level model that can be formulated as a mathematical program with equilibrium constraints (MPEC). By utilizing the strong duality theorem, Karush-Kuhn-Tucker (KKT) conditions, and the Fortuny-Amat method the problem is transformed into a mixed-integer linear programming (MILP) model. Demand bids, rival producers' offerings, and wind production are incorporated into the model through scenarios. A 3-bus system and IEEE 24-bus RTS are used as case studies to delineate the efficiency of the methodology.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129575912","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335732
Kiyana Pedramnia, Shayan Shojaei
Smart grid communication system deeply rely on information technologies which makes it vulnerable to variable cyber-attacks. Among possible attacks, False Data Injection (FDI) Attack has created a severe threat to smart grid control system. Attackers can manipulate smart grid measurements such as collected data of phasor measurement units (PMU) by implementing FDI attacks. Detection of FDI attacks with a simple and effective approach, makes the system more reliable and prevents network outages. In this paper we propose a Decomposed Nearest Neighbor algorithm to detect FDI attacks. This algorithm improves traditional k-Nearest Neighbor by using metric learning. Also it learns the local-optima free distance metric by solving a convex optimization problem which makes it more accurate in decision making. We test the proposed method on PMU dataset and compare the results with other beneficial machine learning algorithms for FDI attack detection. Results demonstrate the effectiveness of the proposed approach.
{"title":"Detection of False Data Injection Attack in Smart Grid Using Decomposed Nearest Neighbor Techniques","authors":"Kiyana Pedramnia, Shayan Shojaei","doi":"10.1109/SGC52076.2020.9335732","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335732","url":null,"abstract":"Smart grid communication system deeply rely on information technologies which makes it vulnerable to variable cyber-attacks. Among possible attacks, False Data Injection (FDI) Attack has created a severe threat to smart grid control system. Attackers can manipulate smart grid measurements such as collected data of phasor measurement units (PMU) by implementing FDI attacks. Detection of FDI attacks with a simple and effective approach, makes the system more reliable and prevents network outages. In this paper we propose a Decomposed Nearest Neighbor algorithm to detect FDI attacks. This algorithm improves traditional k-Nearest Neighbor by using metric learning. Also it learns the local-optima free distance metric by solving a convex optimization problem which makes it more accurate in decision making. We test the proposed method on PMU dataset and compare the results with other beneficial machine learning algorithms for FDI attack detection. Results demonstrate the effectiveness of the proposed approach.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129841780","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335743
A. Sharif, H. Karegar, Saman Esmaeilbeigi
Microgrids have played an important role in distribution networks during recent years. DC microgrids are very popular among researchers because of their benefits. Protection is one of significant challenges in the way of microgrids progress. As a result, in this paper, a fault detection and location scheme for DC microgrids is proposed. Due to advances in Artificial Intelligence (AI) and suitable performance of smart protection methods in AC microgrids, Recurrent Neural Networks (RNNs) are used in the proposed method for fault location in DC micro grids. In this method, the fault detection and location are done by measuring feeders current and main bus voltage. Further, the performance of the proposed method is assessed in grid-connected, and islanded operation modes of microgrid. The result will confirm the efficiency of the proposed scheme. In this paper, MATLAB and DIgSILENT are used to design RNNs and DC microgrid simulation respectivly.
{"title":"Fault Detection and Location in DC Microgrids by Recurrent Neural Networks and Decision Tree Classifier","authors":"A. Sharif, H. Karegar, Saman Esmaeilbeigi","doi":"10.1109/SGC52076.2020.9335743","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335743","url":null,"abstract":"Microgrids have played an important role in distribution networks during recent years. DC microgrids are very popular among researchers because of their benefits. Protection is one of significant challenges in the way of microgrids progress. As a result, in this paper, a fault detection and location scheme for DC microgrids is proposed. Due to advances in Artificial Intelligence (AI) and suitable performance of smart protection methods in AC microgrids, Recurrent Neural Networks (RNNs) are used in the proposed method for fault location in DC micro grids. In this method, the fault detection and location are done by measuring feeders current and main bus voltage. Further, the performance of the proposed method is assessed in grid-connected, and islanded operation modes of microgrid. The result will confirm the efficiency of the proposed scheme. In this paper, MATLAB and DIgSILENT are used to design RNNs and DC microgrid simulation respectivly.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126675354","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335750
P. T. Baboli, D. Babazadeh, Darshana Ruwan Kumara Bowatte
The renewable energy resources have paved the way for distributed energy resources (DERs) integration in to the distribution grid. As a result, the load composition and their dynamics have become complex. The weather phenomena and new emerging consumer load patterns like electric vehicle contribute to time varying dynamics of these loads. In order to optimize the utilization of system assets and flexibility of DERs, the identification of time varying load dynamics is necessary. In this paper, the identification of time varying load dynamics is explored by combining system identification methods and nonlinear numerical optimization. The identified model parameters are then related to measurement data by means of artificial neural networks, which enables the identification of similar dynamics without opting to numerical optimization methods.
{"title":"Measurement-based Modeling of Smart Grid Dynamics: A Digital Twin Approach","authors":"P. T. Baboli, D. Babazadeh, Darshana Ruwan Kumara Bowatte","doi":"10.1109/SGC52076.2020.9335750","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335750","url":null,"abstract":"The renewable energy resources have paved the way for distributed energy resources (DERs) integration in to the distribution grid. As a result, the load composition and their dynamics have become complex. The weather phenomena and new emerging consumer load patterns like electric vehicle contribute to time varying dynamics of these loads. In order to optimize the utilization of system assets and flexibility of DERs, the identification of time varying load dynamics is necessary. In this paper, the identification of time varying load dynamics is explored by combining system identification methods and nonlinear numerical optimization. The identified model parameters are then related to measurement data by means of artificial neural networks, which enables the identification of similar dynamics without opting to numerical optimization methods.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125630260","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335731
H. Rui, Wang Yao, Ben Gemsjaeger
Today digitalization is changing our world. Connected and intelligent devices generate massive amounts of data transforming life and business across all sectors. However, in most places, electric networks, water supply, roads, bridges, tunnels and sewers have hardly changed in nature. Especially in the industry, some digital systems have been incorporated but we are still in the initial phase of unlocking the potential of fully electrified, automated, digitized, intelligent infrastructure. Professional planning of digitalization and smartness will be key to building and maintaining resilient industrial infrastructure and achieve inclusive and sustainable industrial development. This paper describes the evaluation of an industrial network and focuses on the planning and simulation.
{"title":"Planning of Digitalization and Smartness for Industrial Infrastructures","authors":"H. Rui, Wang Yao, Ben Gemsjaeger","doi":"10.1109/SGC52076.2020.9335731","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335731","url":null,"abstract":"Today digitalization is changing our world. Connected and intelligent devices generate massive amounts of data transforming life and business across all sectors. However, in most places, electric networks, water supply, roads, bridges, tunnels and sewers have hardly changed in nature. Especially in the industry, some digital systems have been incorporated but we are still in the initial phase of unlocking the potential of fully electrified, automated, digitized, intelligent infrastructure. Professional planning of digitalization and smartness will be key to building and maintaining resilient industrial infrastructure and achieve inclusive and sustainable industrial development. This paper describes the evaluation of an industrial network and focuses on the planning and simulation.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132217766","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 : 2020-12-16DOI: 10.1109/SGC52076.2020.9335766
Fardin Hasanzad, H. Rastegar
The remarkable increase of volatile renewable energy resources has introduced new challenges for the secure and economic operation of power systems. In this paper an adaptive robust model is presented to address the power system security-constrained unit commitment (SCUC) problem under wind power generation variability. Uncertain nature of wind power is represented by a cardinality uncertainty set. Benders Decomposition (BD) algorithm is applied to solve the robust SCUC model. BD allows decomposing original problem to master problem and two sub-problems of optimality and feasibility. To analyze the impact of wind generation uncertainty on SCUC solution, different wind penetration levels are considered. Extensive numerical studies on the IEEE 24-bus reliability test system demonstrate the usefulness of the proposed robust SCUC.
{"title":"Robust Security Constrained Unit Commitment under Uncertain Wind Power Generation","authors":"Fardin Hasanzad, H. Rastegar","doi":"10.1109/SGC52076.2020.9335766","DOIUrl":"https://doi.org/10.1109/SGC52076.2020.9335766","url":null,"abstract":"The remarkable increase of volatile renewable energy resources has introduced new challenges for the secure and economic operation of power systems. In this paper an adaptive robust model is presented to address the power system security-constrained unit commitment (SCUC) problem under wind power generation variability. Uncertain nature of wind power is represented by a cardinality uncertainty set. Benders Decomposition (BD) algorithm is applied to solve the robust SCUC model. BD allows decomposing original problem to master problem and two sub-problems of optimality and feasibility. To analyze the impact of wind generation uncertainty on SCUC solution, different wind penetration levels are considered. Extensive numerical studies on the IEEE 24-bus reliability test system demonstrate the usefulness of the proposed robust SCUC.","PeriodicalId":391511,"journal":{"name":"2020 10th Smart Grid Conference (SGC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123339787","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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