{"title":"Reactive Power Optimization for Flat Voltage Profiles in Distribution Networks","authors":"Vanja G. Svenda, M. Vu, A. Stankovic","doi":"10.1109/NAPS46351.2019.9000354","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000354","url":null,"abstract":"This paper considers achieving flat voltage profiles in a distribution network based on reactive power optimization (RPO) through voltage regulation devices (VRD). These devices include capacitor banks, load-tap-changing and regulating transformers, whose statuses can only assume pre-determined integer value levels, making this a non-convex problem. Two RPO-based algorithms are proposed, which can be applied to any initial states, node priority, topology and load model types. The first algorithm focuses on finding a practical solution by ensuring the VRD constraints are observed at each step. The second one focuses on finding the globally optimal solution by applying a convex relaxation technique and solving the resulting problem with the barrier interior point method. Here, the gradients are computed numerically, thus requiring no analytical functions of voltages in terms of VRDs. Numerical results and their analysis are examined on two test networks: 1) single feeder; and 2) network with laterals.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116256360","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}
Shubo Zhang, Hongxing Ye, Fengyu Wang, Yonghong Chen, Steve Rose, Yaming Ma
{"title":"A Data-aided Security Constraint Prescreening Technique and Application to Real-world System","authors":"Shubo Zhang, Hongxing Ye, Fengyu Wang, Yonghong Chen, Steve Rose, Yaming Ma","doi":"10.1109/NAPS46351.2019.9000286","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000286","url":null,"abstract":"Security constraints are necessary in unit commitment problems to guarantee reliable commitments. However, only a small subset of security constraints can bind in the unit commitment problem. This paper presents a data-aided prescreening approach that could identify and remove non-dominating security constraints. This approach takes advantage of both deterministic and statistical methods, which leverages the historical data and linear programming (LP) solution. Lazy constraints are used in optimization solver to maintain solution integrity. Case studies presented here use Midcontinent Independent System Operator (MISO) data, and simulation results show that the proposed prescreening approach significantly improves computational performance.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"228 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121190819","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}
{"title":"Extreme Value Analysis of Geomagnetically Induced Currents Based on Historical Magnetic Field Data","authors":"R. Sharma, J. McCalley","doi":"10.1109/NAPS46351.2019.9000198","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000198","url":null,"abstract":"Geomagnetically induced current (GIC) occurring in the transmission network due to geomagnetic disturbance (GMD) events may cause power system equipment damage and/or lead to large-scale power outages. The 1-in-100 year benchmark GMD scenario, considered to be a high impact low-frequency event, is intended for use in planning for GMD events. In this paper, we estimate the 95% confidence interval for the 100-year return level of GIC flows for the transmission network of Iowa, based on extreme value analysis (EVA) of historical GIC flows calculated using historical (1979–2017) geomagnetic field data. The EVA is performed by fitting the distribution of the extreme GIC data on the family of distributions that include Generalized Extreme Value and Generalized Pareto Distribution. We compare this 100-year return level of GIC with that obtained using the NERC benchmark definition.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694722","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}
{"title":"Model Predictive Energy Management for Building Microgrids with IoT-based Controllable Loads","authors":"Duc H. Tran, E. Sanchez, M. Nazari","doi":"10.1109/NAPS46351.2019.9000189","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000189","url":null,"abstract":"This paper develops an economic scheduling framework for a building microgrid with internet of things (IoT) based flexible loads to synchronize the buildings' controllable components, with occupant behavior and environmental conditions. We employ model predictive control (MPC) methods to minimize building operating costs, while maximizing the utilization of the on-site resources. The main research thrusts are 1) Developing the building microgrid model; 2) Defining different building operation strategies; 3) Minimizing the building's daily operating costs. Simulation results show that the proposed approach provides superior energy cost savings and peak load reduction in comparison with other operation controls, such as offline Mixed Integer Linear Programming (MILP), All from Utility (AFU), and MPC-MILP with non-controllable loads.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123883452","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}
Mohammad R. Altimania, Mohamad Saleh Sanjari Nia, M. Ferdowsi, P. Shamsi
{"title":"Analysis and Modeling of a Non-Isolated Two-Phase Interleaved Boost Converter with Diode-Capacitor Cells in the DCM","authors":"Mohammad R. Altimania, Mohamad Saleh Sanjari Nia, M. Ferdowsi, P. Shamsi","doi":"10.1109/NAPS46351.2019.9000260","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000260","url":null,"abstract":"In this paper, a two-phase interleaved dc-dc boost converter with two cells of diode-capacitor is analyzed and investigated in discontinuous conduction mode (DCM). Furthermore, mathematical modeling with a component selection procedure is discussed in this study. The mentioned converter is used to convert 10 V to 202.08 Vdc, which can be used in many renewable energy applications, such as photovoltaic (PV) and fuel cells. To verify the mathematical analysis and the simulation, a hardware prototype was built and implemented in a laboratory. Also, the experimental results have been compared with the proposed simulated model. The final results show consensus between mathematical expressions, simulated results, and measured results, which verifies the effectiveness of this proposed converter in the DCM.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116553374","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}
{"title":"Energy and Reserve Dispatch with Renewable Generation Using Data-Driven Distributionally Robust Optimization","authors":"Zhichao Shi, Hao Liang, V. Dinavahi","doi":"10.1109/NAPS46351.2019.9000207","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000207","url":null,"abstract":"With the increasing penetration of renewable generation such as wind power in modern power systems, there are many new challenges arising in power system operation with respect to reliability and economy. In this work, we study a two-stage data-driven distributionally robust (DR) energy and reserve dispatch problem with uncertain wind power. Different from the general moment-based ambiguity set, we design a new distance-based ambiguity set to describe the uncertain probability distribution of wind power, which can be constructed in a data-driven manner from historical data. Base on this new ambiguity set, the second-stage worst-case expectation of the problem is reformulated to a combination of conditional value-at-risk (CVaR) and an expected cost with respect to a reference distribution. Thus, the proposed two-stage DR model becomes a two-stage stochastic optimization problem which can be readily solved. Case studies are carried out to verify the effectiveness of the proposed method based on the IEEE 6-bus test system and modified IEEE 118-bus test system. Simulation results show the value of data in controlling the conservatism of the problem, and the DR problem converges to the stochastic problem with fixed distribution as the data size goes to infinity.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125337217","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}
{"title":"Decentralized Servomechanism Control Design for Inter-Area Oscillations Damping in Power System","authors":"R. Biroon, P. Pisu, D. Schoenwald","doi":"10.1109/NAPS46351.2019.9000201","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000201","url":null,"abstract":"Inter-area oscillations are one of the main concerns in power system small signal stability. Since they involve a wide area in power systems, identifying the causes and damping the oscillations are considerably challenging. Undamped inter-area oscillations cause severe problems in power grids including large-scale blackouts. Designing a proper controller to damp inter-area oscillations in power systems is challenging due to the complexity of the system. Moreover, for a large-scale system it is difficult to collect all system information in one location as required for the design of a centralized controller. In this paper, we develop a new decentralized strategy to identify and damp oscillations in a large-scale power system. We consider a large-scale power system consisting of three areas in a loop shape configuration. After decomposing the system into three subsystems, each subsystem is modeled with a lower order system. Finally, a decentralized robust servomechanism controller is designed for each subsystem to maintain the large-scale system frequency at the desired level even in the presence of disturbances.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132541942","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}
{"title":"A Unified Power System Model to Analyze the Benefits of Electric Vehicles in Power Grid","authors":"C. Lamers, Clay Ozuna, Hao Huang, K. Davis","doi":"10.1109/NAPS46351.2019.9000257","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000257","url":null,"abstract":"Electric vehicles (EVs) can serve as generators, supplying power during blackouts to mitigate potential damage and losses. However, current power system models prevent a comprehensive analysis of EVs' role in power grid operations since EVs are located at the residential level, and large-scale power system studies use separate models for generation, transmission, and distribution. To analyze how EVs can improve the power grid operations under contingencies, it is necessary to construct the power grid model considering three aspects. This paper presents an undergraduate senior design study that introduces an end-to-end model of the electric grid that includes generation, transmission, distribution and customer. Based on the proposed model, the authors build a synthetic grid for Bryan/College Station (BCS) area to analyze the benefits of EVs in power grids. The proposed model not only presents a more complete model of EVs and distributed generation but also provides different scenarios for EVs' benefits studies.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132720780","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}
{"title":"Fuzzy Logic Controlled Bridge Switch-Type Flux-Coupling Non-Superconducting Fault Current Limiter for Transient Stability Enhancement of Power System","authors":"M. Sadi, A. Abuhussein, Ranjay Singh","doi":"10.1109/NAPS46351.2019.9000298","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000298","url":null,"abstract":"In this paper, a fuzzy logic control-based Bridge Switch-Type Flux Coupling Non-Superconducting Fault Current Limiter (BSFC-NSFCL) is proposed to enhance the transient stability of the multimachine power system. The proposed controller provides global stability for the system and uses data from the system as a feedback in the controller loops. The performance of the proposed fuzzy logic controlled BSFC-NSFCL is compared with that of a static nonlinear controlled BSFC-NSFCL. The detailed controller design, analysis, and stability investigations are carried out for the IEEE 39 bus power system by the MATLAB/SIMULINK environment. From the simulation results and different quantifying parameters, it has been deduced that the proposed fuzzy logic controlled BSFC-NSFCL is effective in improving the transient stability of the power system, and also it performs better than the static nonlinear controlled BSFC-NSFCL.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114990294","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}
{"title":"Multi-Agent System using JADE for Distributed DC Microgrid System Control","authors":"Anas Alseyat, Jae-Do Park","doi":"10.1109/NAPS46351.2019.9000215","DOIUrl":"https://doi.org/10.1109/NAPS46351.2019.9000215","url":null,"abstract":"This paper discusses the design and implementation of a distributed multi-agent system (MAS) for a DC microgrid system using the Java Agent Development Framework (JADE), a Java software for MAS design. So far, most MAS implementations in power systems have been limited to simulations in one machine without taking advantage of the various features of MAS tools that JADE provides. In this paper, multiple computers are used to create a more realistic MAS with Ethernet-based communication links. A DC microgrid system is designed in Simulink and a JADE-Simulink interface is implemented using TCP/IP through an Interpreted Matlab Function block. The designed MAS is physically distributed so that agents representing elements of the microgrid exchange actual data, allowing for a new level of MAS system realization. Simulation results for the multi-agent based DC microgrid under some operating conditions are presented and discussed.","PeriodicalId":175719,"journal":{"name":"2019 North American Power Symposium (NAPS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115213096","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}