Mohammad MansourLakouraj, Hadi Hosseinpour, H. Livani, M. Benidris, M. Fadali
{"title":"Volt/VAR Support and Demand Response Co-Optimization in Distribution Systems with Adaptive Droop Control of Inverters","authors":"Mohammad MansourLakouraj, Hadi Hosseinpour, H. Livani, M. Benidris, M. Fadali","doi":"10.1109/TPEC56611.2023.10078554","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078554","url":null,"abstract":"This paper proposes a hierarchically-coordinated Volt/VAR support scheme to cooperatively minimize operation costs and voltage deviations. The scheme uses the two-step droop control of smart inverters as well as scheduling of slow response capacitor banks and transformer tap changers. The peak shaving objective is also combined with the Volt/VAR support model to reduce dependency on traditional voltage regulators while minimizing operating costs. The problem is formulated as two-stage stochastic programming subject to day-ahead Volt/VAR device technical constraints. The results are used in a short-time probabilistic model for voltage deviation minimization by sub-hourly updating the forecasting signals. Finally, the competence of the proposed Volt/VAR support framework enabling the utilities to optimize the characteristic of inverters effectively and use the advantages of demand response (DR) and legacy devices is verified on three-phase distribution feeders. The results show that the proposed method leads to less voltage deviation and loss minimization compared to traditional strategies.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127504011","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":"Capacitor Optimization for EV and Renewable DG Integration","authors":"M. Ghofrani, C. Hsu, M. Majidi","doi":"10.1109/TPEC56611.2023.10078522","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078522","url":null,"abstract":"The global transition towards clean energy is characterized by an increased number of renewable distributed generators (DGs) and electric vehicles (EVs). However, the integration of renewable DGs and EVs in distribution systems introduce significant strains on power grids. In this paper, a practical capacitor optimization method is proposed to address these adverse operational and economic effects. The proposed optimization method sizes and allocates capacitor banks in a distribution network with EV loads and renewable DGs by evaluating power losses, voltage violations, and total costs. Stochastic analysis is developed to model wind DG and EV uncertainties. To evaluate the performance of the proposed optimization method, three-phase unbalanced load flow analysis is carried out for a real 13.8 kV, 134-bus distribution network before and after optimization to calculate system losses, node voltages, and associated costs. Simulation results show that the optimal integration of capacitors reduce power losses and voltage deviations of the modeled network by 28% and 35% for the heaviest loading condition.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125335742","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}
Michael Abdelmalak, N. Bhusal, Mukesh Gautam, Mohammed Ben-Idris
{"title":"Cyber-Physical Power System Layers: Classification, Characterization, and Interactions","authors":"Michael Abdelmalak, N. Bhusal, Mukesh Gautam, Mohammed Ben-Idris","doi":"10.1109/TPEC56611.2023.10078602","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078602","url":null,"abstract":"This paper provides a strategy to identify layers and sub-layers of cyber-physical power systems (CPPS) and characterize their inter- and intra-actions. The physical layer usually consists of the power grid and protection devices whereas the cyber layer consists of communication, and computation and control components. Combining components of the cyber layer in one layer complicates the process of modeling intra-actions because each component has different failure modes. On the other hand, dividing the cyber layers into a large number of sub-layers may unnecessarily increase the number of system states and increase the computational burden. In this paper, we classify system layers based on their common, coupled, and shared functions. Also, interactions between the classified layers are identified, characterized, and clustered based on their impact on the system. Furthermore, based on the overall function of each layer and types of its components, intra-actions within layers are characterized. The strategies developed in this paper for comprehensive classification of system layers and characterization of their inter- and intra-actions contribute toward the goal of accurate and detailed modeling of state transition and failure and attack propagation in CPPS, which can be used for various reliability assessment studies.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129556468","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":"Design of a Three-Phase Inductive Power Transfer Coil with Interphase Mutual Inductance Reduction","authors":"Yuming Chen, H. Toliyat","doi":"10.1109/TPEC56611.2023.10078680","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078680","url":null,"abstract":"Inductive wireless power transfer (IPT) has brought convenience to many aspects of human life. Three-phase IPT has been proven with better performance in high-power applications. Three-phase IPT coil design is necessary to optimize the power transfer capability and efficiency. Also, interphase mutual inductance in three-phase IPT coils has been considered a problem. This paper analyzed the effects of the interphase mutual inductance using the phasor diagram approach. Two different cases with different coil structures have been discussed. A new three-phase IPT coil is proposed in this paper. With overlap coils in the center of the ferrite core, the proposed coil achieves very low interphase mutual inductance. A comparative study has been done for both the proposed coil and a regular unipolar coil. Simulation results show that the proposed coil has better power transfer capability than the regular unipolar coil.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126907322","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":"P2P Energy Exchanges for Lowering the Hydrogen Production Cost Using Realistic Electrolyzer Model","authors":"Hamed Haggi, Wei Sun, P. Brooker, J. Fenton","doi":"10.1109/TPEC56611.2023.10078649","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078649","url":null,"abstract":"Motivated by the net-zero emission policy targets, this paper aims at exploiting the benefits of peer-to-peer (P2P) energy exchanges in lowering the hydrogen (H2) cost in the active distribution networks. This paper also develops a detailed model for grid-integrated electrolyzer based on polarization curves, which addresses the non-linear conversion efficiency issues of this asset to provide realistic results. Simulation results demonstrate that 1) electrolyzer efficiency changes under different operating conditions which significantly depends on actual stack operation (actual cell voltage and current); 2) H2 could be produced at lower costs due to P2P energy exchanges by reducing the peers’ electricity demand, providing more available capacity of renewables at the customer side, and as a consequence reducing the market clearing price and produced H2 cost.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124360292","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":"H∞ Robust Control of a Grid-Connected Inverter","authors":"Abdullahi Bamigbade","doi":"10.1109/TPEC56611.2023.10078550","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078550","url":null,"abstract":"In this article, implementation of a $H_{infty}$ controller is carried out to achieve seamless power transfer in a grid-connected inverter. To achieve this objective, a detailed mathematical model of the inverter system in the synchronous reference frame is presented. Considering higher-order nature of $H_{infty}$ controllers, selection of weighting functions is done such that robust reference tracking and disturbance rejection is achieved. Performance wise, the $H_{infty}$ controller achieves fast settling, minimal power fluctuation and high disturbance rejection capability when compared with the conventional inverter $dq$-based proportional-integral (PI) control strategy under various test conditions involving grid voltage and load disturbances.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592982","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}
Seungtaik Kim, In-Sic Yoon, C. Hong, Jongsun Ko, Suyeon Oh
{"title":"A study on a new sensorless control method for an induction motor using a non-linear speed observer and hybrid V/f control method","authors":"Seungtaik Kim, In-Sic Yoon, C. Hong, Jongsun Ko, Suyeon Oh","doi":"10.1109/TPEC56611.2023.10078673","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078673","url":null,"abstract":"This paper proposes a new hybrid voltage per frequency(V/f) control method for induction motor sensorless speed control. Induction motors are durable and inexpensive, so they are used in many industrial fields, from small-capacity to large-capacity pumps and fans over 100kW. Conventional V/f scalar control is widely used in induction motor control because it is easy to use. However, since open-loop control is without a feedback component, the speed decreases due to slip as the load increases. In addition, performance deteriorates in the low-speed region due to the influence of stator resistance and slip. Furthermore, there is a disadvantage in that the loss is more significant at light loads. Therefore, this paper proposes a novel method to combine V/f patterns and compensate for V/f control with speed and torque estimated through a nonlinear speed observer and a magnetic flux observer. In considering the nonlinear dynamic characteristics of the induction motor, the gains of the nonlinear speed observer are selected as multiple points. Using a 75kW induction motor simulation and MATLAB/SIMULINK, we verified that the nonlinear speed observer could accurately estimate the actual speed. In addition, it confirmed that the hybrid V/f control performance was improved by compensating the estimated torque obtained by the magnetic flux observer to the V/f control.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131619540","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}
Anna Zhang, Pooria Dehghanian, M. Stevens, Jonathan Snodgrass, T. Overbye
{"title":"Synthetic Geomagnetic Field Data Creation for Geomagnetic Disturbance Studies using Time-series Generative Adversarial Networks","authors":"Anna Zhang, Pooria Dehghanian, M. Stevens, Jonathan Snodgrass, T. Overbye","doi":"10.1109/TPEC56611.2023.10078544","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078544","url":null,"abstract":"A key challenge to Geomagnetic Disturbance (GMD) studies is the scarcity of severe geomagnetic field data available to researchers due to its low event occurrence. This study aims to address this challenge by first creating realistic “synthetic” data that represents the geomagnetic field fluctuations caused by recent GMD events. This paper utilizes a machine-learning approach to generate synthetic geomagnetic field data. Specifically, the application and preliminary results of a modified form of the generative adversarial network (GAN) to create time-series synthetic geomagnetic field data of three different severities are described here. The purpose of this paper is to document the first step towards creating severe synthetic geomagnetic field data to advance power system research. Future studies beyond this paper will extend on this work to generate data representing severe GMD storms.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131161916","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}
Oluwatimilehin Adeosun, M. Thomas, G. Çakir, Ken Crawford, V. Cecchi, B. Chowdhury, M. Baran, Cara DeCoste Chacko
{"title":"An Analysis of DMS Power Flow Performance","authors":"Oluwatimilehin Adeosun, M. Thomas, G. Çakir, Ken Crawford, V. Cecchi, B. Chowdhury, M. Baran, Cara DeCoste Chacko","doi":"10.1109/TPEC56611.2023.10078468","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078468","url":null,"abstract":"The continuous modernization of the electric power grid, including the increased adoption of distributed energy resources and of remotely monitored and controlled devices, has brought about an augmented use of distribution automation and Advanced Distribution Management Systems (ADMS) applications. These tools can help improve grid reliability and ensure optimal grid operation. Several distribution system closed-loop controllers with applications such as Integrated Volt/Var control rely on power flow results to make grid optimization decisions. Hence, the accuracy of the power flow results is of paramount importance for appropriate informed decision-making. This paper presents an analysis of the Distribution Management System (DMS) power flow performance, including a selection of appropriate performance metrics. The selected performance metrics are used to detect and analyze inaccuracies in DMS power flow results. The investigation is carried out on near-real-time power flow results from multiple substations obtained from a utility company. The substation models and SCADA measurements were also used in the analysis. It is envisioned that this power flow performance analysis can help guide further studies to identify causes of poor power flow performance and mitigate them.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132708101","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 Constant Frequency Based Torque Ripple Free Three level NPC Brushless Motor Drive","authors":"R. Raj, M. P. Shreelakshmi, S. George","doi":"10.1109/TPEC56611.2023.10078712","DOIUrl":"https://doi.org/10.1109/TPEC56611.2023.10078712","url":null,"abstract":"The Brushless DC motor with trapezoidal back EMF enables them to be smaller, lighter, and more robust in design. Multilevel inverter-based drives have become crucial for medium and high-power applications of Brushless DC motor drives. However, a Brushless DC(BLDC) motor suffers from the severe drawback of commutation torque ripples, mainly due to the inductive nature of the stator. Nevertheless, with a three-level inverter to a BLDC motor, a significant torque ripple reduction can be observed compared to a conventional two-level BLDC drive. In addition, the good dynamic performance of hysteresis controllers makes them reliable for the current control. However, the major demerit is that it gives a variable switching frequency and asymmetrical switching pulses, which could amplify the torque ripples. An interleaving constant switching frequency-based current controller is proposed in this work, which divides the error into multiple bands. The error is compared to an interleaving carrier frequency-based comparator to produce the switching signal for the given reference torque. The proposed controller remarkably improves the performance of the BLOC drive in the low-speed region, and a significant reduction in torque ripple is obtained. The proposed method is implemented on the MATLAB Simulink platform, and the effectiveness is validated by the results presented.","PeriodicalId":183284,"journal":{"name":"2023 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128875207","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}