{"title":"Emergency Services of Energy Storage Systems for Wind Ramp Events","authors":"M. Habibi, V. Vahidinasab","doi":"10.1109/SGC49328.2019.9056593","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056593","url":null,"abstract":"The Wind Ramp Events (WREs) are the rare sudden deviations in wind speed that jeopardize the reliability of the power system integrated high penetration of renewables. This paper considers the WREs in a Stochastic Unit Commitment (SUC) to reach a resilient model. The Energy Storage Systems (ESSs) are providing the required re-dispatches for covering the WREs, while this application does not disrupt their original schedule. The compensation of ESSs has a fast dynamic and secures the power system against blackouts. Also, the proposed model uses regular generators to provide the reserves for addressing the fluctuations of wind power in the normal situation. The model minimizes both of energy and reserve costs in the day-ahead market. A decomposition method is used to reduce the complexity. The numerical result shows the model successfully covers the power imbalances in WREs, and also the optimal operation of in normal situation is guaranteed by deploying sufficient energy and reserves.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116705241","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":"Social Responsibility Aspects of Smart Power Grids","authors":"Mehdi Farhadkhani","doi":"10.1109/SGC49328.2019.9056630","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056630","url":null,"abstract":"Social responsibility is of great significance in todays' business environment so that ignoring that could have detrimental effects in both business and society. Mere attention of businesses to economic aspects to attain short-term financial goals could result in severe long-term environmental, health, and security disasters. As power industry moves toward smart grid and adoption of smarter technologies, the requirement for improving social responsibility is increasingly introduced. However, there is a quite close interrelationship between smart grid and social responsibility since smart grid per se on contribute to social responsibility improvement by improving renewable penetration, consumer engagement in demand management schemes, self-healing energy network, etc. The aim of this article is to illumine the social responsibility aspects of smart grid. In other words, this paper attempts to describe how smart grid improves social responsibility.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126650990","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":"Probabilistic Energy Flow Analysis of Multi-Carrier Energy System in the Presence of Energy DR Programs","authors":"Hamid Reza Massrur, M. F. Firuzabad","doi":"10.1109/SGC49328.2019.9056624","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056624","url":null,"abstract":"In recent years, a great deal of attention has been paid to multi-energy systems that improve energy efficiency and reliability. In this respect, this paper examines the issue of energy flow of these systems in a probabilistic context in the presence of energy responsive programs. Responsive energy programs are provided by system operator of multi-carrier energy to manage these networks where energy customers can participate in it. The probabilistic method used is 2m + 1 point estimation method, which has high speed and high accuracy. The presented numerical results show the impact of each responsive energy program on the cost of operating a multi-carrier system.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129809016","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}
Mojtaba Moradi‐Sepahvand, T. Amraee, Amirhossein Nikoofard
{"title":"A Game Framework to Confront Targeted Physical Attacks Considering Optimal Placement of Energy Storage","authors":"Mojtaba Moradi‐Sepahvand, T. Amraee, Amirhossein Nikoofard","doi":"10.1109/SGC49328.2019.9056612","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056612","url":null,"abstract":"In this paper, a game framework for defending the power system against intelligent physical attacks is modeled by investigating the impacts of Energy Storages (ESs). For this modeling, Optimal Placement of Energy Storage (OPES) with regard to two main cases is investigated. In the first case, it is assumed that just one transmission lines are attacked. This case is equal to making the power system N-1 secure using OPES. In the second case, it is assumed that two transmission line are attacked. Therefore, this case is equal to making the power system N-2 secure using OPES. Moreover, two proposed Algorithms are implemented for limited budget allocation to the power system protection and recovery. A five-bus system as a common case study system is considered for evaluation of the presented model. The obtained results justify the effectiveness of considering OPES for defending the power system against targeted physical attacks.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132306689","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":"Loss of Field Protection in Synchronous Generators Based on Data Mining Technique","authors":"M. Rasoulpour, T. Amraee, A. Sedigh","doi":"10.1109/SGC49328.2019.9056609","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056609","url":null,"abstract":"Loss of field (LOF) is a common fault in synchronous generators. Mason-Berdy scheme is the well-known and practical protective scheme to detect the LOF conditions. However, this impedance based method comes up with mal-operations under special situations such as under excitation operation, power swing phenomena, and partial LOF. In this paper, a new method based on data mining scheme is proposed considering the statistical correlation and zero-crossing function of electric variables as input training features. Moreover, new scenarios including special conditions such as condenser mode in both leading and lagging power factors are considered. In order to detect the LOF fault, the support vector machine (SVM) classifier is used. Results of the proposed method are comparable with conventional and improved Mason-Berdy schemes considering dependability, security and accuracy criteria.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132627549","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}
Adel Heidari Akhijahani, Saeed Hojjatinejad, A. Safdarian
{"title":"A MILP Model for Phase Identification in LV Distribution Feeders Using Smart Meters Data","authors":"Adel Heidari Akhijahani, Saeed Hojjatinejad, A. Safdarian","doi":"10.1109/SGC49328.2019.9056591","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056591","url":null,"abstract":"Nowadays, with the increasing use of renewable energies in low voltage (LV) feeders, phase balancing research areas are of great importance. However, the lack of information about the hosting phase of customers and renewable sources is the missing link in such researches. To address this barrier, this paper proposes a mixed integer linear programming (MILP) method to identify the hosting phase of customers as well as renewable energies, such as photovoltaic (PV) panels. The model considers potential error in the input data. To overcome the complexity caused by data error, the input data in several time intervals are taken into account by the model. The model solves the phase identification problem through minimizing mean absolute error between estimated and measured parameters. The performance of the proposed method is tested on the IEEE 34-node test feeder and results are discussed thoroughly.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115239098","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}
Mehdi Doostinia, Mohammad T. H. Beheshti, S. A. Alavi
{"title":"A Distributed Control Strategy with Fractional Order PI Controller for DC Microgrid","authors":"Mehdi Doostinia, Mohammad T. H. Beheshti, S. A. Alavi","doi":"10.1109/SGC49328.2019.9056587","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056587","url":null,"abstract":"This paper presents a novel distributed consensus control strategy for stabilization of the buses voltages and energy balancing of the storage in DC microgrids. The proposed strategy works based on sparse communication graph in which the agents possess fractional order proportional integral (FOPI) dynamics. The FOPI controller is used for energy balancing energy storage (ES) systems and to regulate the average DC microgrid buses voltages. The proposed control strategy operates in both operation modes of DC microgrid: 1) islanded mode, −2) grid connected mode. In both modes the average voltage of DC microgrid converges to the microgrid desire reference voltage. The energy storages systems are controlled independently of the operating mode to achieve and maintain a balanced energy level. The simulation results demonstrate the performance of the control strategy in a case study of a 10 bus 380 V DC with intermittent photovoltaic generation.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115097707","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":"Integrating Battery Condition and Aging into the Energy Management of an Active Distribution Network","authors":"A. Soleimani, V. Vahidinasab","doi":"10.1109/SGC49328.2019.9056617","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056617","url":null,"abstract":"There has been a wide-spreading use of battery-based Energy Storage Systems (ESSs) in power grid recently. Nevertheless, frequent usage, as well as overcharge or overdischarge, can severely damage their health and reduce their life expectancy. This paper proposes an Energy Management (EM) algorithm in an Active Distribution Network (ADN) in the presence of ESSs. The problem is formulated as a Mixed-Integer-Linear-Programming (MILP) model to determine an optimal schedule for ESS units, not only to maximize their lifetime but also to minimize grid expenses. In order to precisely measure the deterioration percentage of battery cells and their cost, a modified, linearised battery lifetime model, based on its operating profile and a cycle counting technique, is introduced. Eventually, a test case based on the IEEE 33-bus distribution test system with Day-Ahead (DA) pricing scheme has been assessed to demonstrate both the validity and effectiveness of the proposed methodology.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"50 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121002742","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":"Electric Vehicles as Mobile Energy Storage Devices to Alleviate Network Congestion","authors":"M. Abolhassani, A. Safdarian","doi":"10.1109/SGC49328.2019.9056608","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056608","url":null,"abstract":"Electric vehicles (EVs) usage is becoming ubiquitous nowadays. Widespread integration of electric vehicles into electric energy distribution systems (EEDSs) has a twofold impact: (1) It may impose a burden on EEDSs when EVs are charging, (2) EVs could discharge their battery capacity using V2G technology when required. To mitigate adverse effects of massive integration of EVs in EEDSs, EVs could be used as mobile energy storage devices (MESDs) to transfer electric energy throughout EEDSs using a proper charging/discharging scheme. In this paper, a mixed integer linear programming (MILP) model is proposed to control charging and discharging of EVs to improve EEDS performance. EVs are modeled as MESDs and their impact on EEDS is investigated. The proposed model is applied to 33-bus EEDS and Sioux Falls Transportation Network (TN). The results show that using this model, EVs could transfer electric energy to mitigate congestion in EEDS lines and improve performance of EEDSs.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133900697","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":"Optimal Bidding and Offering Curves for Joint Operation of a Wind Farm and an Electrical Energy Storage Considering Market Regulations","authors":"Omidreza Lak, Mohammad Rastegar","doi":"10.1109/SGC49328.2019.9056618","DOIUrl":"https://doi.org/10.1109/SGC49328.2019.9056618","url":null,"abstract":"Due to the significant fluctuations in the generated power of wind farms (WFs) and controllability of electrical energy storage systems (EESs), the joint operation of them in the markets is considered as the most profitable operation strategy. This paper presents a complete scheme for optimal bidding/offering joint participation of WFs and EESs in day-ahead energy and spinning reserve markets considering different sources of uncertainty by using two-stage stochastic programming. In addition, the risk of participation is measured by conditional value at risk. In the literature, as the expected profit is maximized, the impact of the operation of participants and market regulations on the total system operation is not emphasized. However, in this paper, a set of penalty factors are designed to investigate the impact of different market regulations on the proposed problem.","PeriodicalId":182699,"journal":{"name":"2019 Smart Grid Conference (SGC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117137325","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}