{"title":"An Analytical Approach for Phase Balancing Considering Customer Load Profile","authors":"P. Gangwar, S. N. Singh, S. Chakrabarti","doi":"10.1109/ISGTEurope.2019.8905481","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905481","url":null,"abstract":"Unbalanced loading in the distribution systems causes feeder unbalance. This feeder unbalance deteriorates the power quality and increases power loss in the system. This paper proposes an analytical approach of phase balancing considering the load profile of each bus. The minimization of power loss is taken as an objective, considering the requirement that the number of phase swappings should be minimum. Current unbalance factor (CUF), voltage unbalance factor (VUF), and loading index improvement are also taken into consideration. A novel priority vector is also proposed to find the highest-priority buses, at which phase swapping may be performed. This priority vector reduces the search space and computational effort of finding the buses at which phase swapping should be carried out. The proposed methodology has been tested on IEEE 34-bus and IEEE 123-bus system. The result shows significant improvement in current and voltage unbalance factor. Reduction in power loss is observed, and the loading index of the system is also improved.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131404397","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":"Investigation of inventive Tuning Algorithm for the realization of Digital Twins of Inverter Model in Inverter-dominated Power Distribution Grid","authors":"X. Song, T. Jiang, S. Schlegel, D. Westermann","doi":"10.1109/ISGTEurope.2019.8905551","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905551","url":null,"abstract":"In this paper, the inventive methods based on the neural network will be applied to construct the digital twins of the inverter. By utilizing the digital twins (DT) model, the inverter can be replaced, which is able to be as the substitution to simulate the operation of the inverter. The paper can be arranged as two parts: First of all, the modelling of the inverter in electromechanical transient will be illustrated. Afterwards, the proposed methods are clarified, which are, firstly, an online PI tuner for the controllers of the inverter and then an neural network based identifier is operated to approximate the nonlinear functional dynamic state of it. The design of PI tuner is based on the deviation between the output of the model and the reference output from measurement data. Then, according to the difference, the tuner can calculate the appropriate parameter of the current and voltage controller to track the dynamic behaviour of the reference model. The NN identifier is, however, to replicate the dynamic character of the reference model by NN which is initially trained offline with extensive test data and afterwards is applied to online tuning.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134104227","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":"Assessing Robustness of Risk-Constrained Operating Strategies for Power Systems with Renewables by Contamination-Based Technique","authors":"Yujia Li, S. Feng, Yunhe Hou","doi":"10.1109/ISGTEurope.2019.8905546","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905546","url":null,"abstract":"Risk-constrained stochastic programming (SP) is an effective tool to cope with the increasing uncertainty renewable energy resources (RESs) bring in look-ahead dispatch (LAD). However, since the solutions of SP are dependent on characteristics of uncertain RESs, inaccurate predication of RESs significantly influences the LAD strategies. This paper proposes a contamination-based technique (CBT) to evaluate the robustness of a dispatch strategy against inaccurate RESs predication. Without loss of generality, the proposed CBT is used in a two-stage CVaR-constrained stochastic program, where the first stage optimizes a strategy based on the original inaccurate predication and the second stage corrects this strategy by contaminating the first-stage inaccurate predication with updated information. The robustness of a strategy against the inaccurate predication is quantified by this method and, furthermore, the sensitivities of some critical parameters, such as penetration level of RESs and system flexibility, are analyzed. Case study validates the feasibility of proposed method.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134316892","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":"Event-triggered Output Feedback Load Frequency Control for Multi-area Power Systems","authors":"Wenjie Liu, Zaiyue Yang, Yunhe Hou","doi":"10.1109/ISGTEurope.2019.8905613","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905613","url":null,"abstract":"This paper is concerned with the event-triggered output feedback load frequency control (LFC) problem for multi-area power systems(M-aPS). A new linear matrix inequality (LMI) condition is established for the event-triggered controller design. Compared with previous controller design conditions, the sufficient condition in this paper is convex and much less conservative. Besides, the proposed design method can avoid calculating the generalized inverse and remove the equality constraint. Finally, a three-area power system example is given to demonstrate the effectiveness of the proposed approach.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134021886","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}
Thi-Thanh-Quynh Nguyen, V. Debusschere, Christophe Bobineau, A. Labonne, C. Boudinet, Quang-Huy Giap, N. Hadjsaid
{"title":"A new approach for the distributed deployment of centralized algorithms in smart grids","authors":"Thi-Thanh-Quynh Nguyen, V. Debusschere, Christophe Bobineau, A. Labonne, C. Boudinet, Quang-Huy Giap, N. Hadjsaid","doi":"10.1109/ISGTEurope.2019.8905640","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905640","url":null,"abstract":"Distributed algorithms are regularly used to deploy distributed paradigms in smart grids. Computations are executed without any centralized server even in a limited bandwidth network. However, there are still some drawbacks in the proof of convergence as well as a lack of programming abstraction. In this paper, we propose a new approach to the distributed paradigm by using distributed programming in a data manipulation language called Smartlog. A distributed programming methodology will automatically divide a centralized Smartlog program into multiple rules while ensuring the correct transformation of the centralized computations. An application of voltage control in a distribution grid with high penetration of PV systems is used as an illustration of this approach. Two implementations are compared: centralized programming and distributed programming. Both are deployed in a real-time simulation with OPAL-RT and a network of Raspberry Pis. The response time of each implementation is analyzed to evaluate their respective performance, showing that the Smartlog language is particularly appropriate to smart grids in terms of compacity and simplicity.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124330835","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":"Assessing the influence of the aggregation level of residential consumers through load duration curves","authors":"R. Claeys, Thijs Delerue, J. Desmet","doi":"10.1109/ISGTEurope.2019.8905436","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905436","url":null,"abstract":"Residential electricity consumers at present pose a major challenge to simulate due to their inherent stochastic nature. However, as this sector represents approximately one fourth of the total electricity consumption across the European Union, it is necessary to gain more insight in their consumption, both on an individual as well as on an aggregated level. In this work, we propose the use of load duration curves (LDCs) to characterize residential consumers. We construct LDCs for individual as well as artificially aggregated groups of residential consumers, and present how these LDCs can lead to a better understanding of what influence the aggregation level has on key characteristics of the consumption profile, how aggregation affects the height and duration of the peak demand, and what inherent trade-offs are present at higher aggregation levels.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122577328","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}
M. Andreev, V. Rudnik, A. Suvorov, N. Ruban, R. Ufa, A. Gusev, I. Razzhivin, Y. Bay, A. Kievets, A. Askarov
{"title":"Novel Method For Numerical Transformer Differential Protection Setting Up Using Its Detailed Mathematical Model","authors":"M. Andreev, V. Rudnik, A. Suvorov, N. Ruban, R. Ufa, A. Gusev, I. Razzhivin, Y. Bay, A. Kievets, A. Askarov","doi":"10.1109/ISGTEurope.2019.8905467","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905467","url":null,"abstract":"The authors are working on the creation of novel methods for setting up relay protection (RP) of modern power systems using detailed mathematical models that take into account the specific features of specific RPs and processes in instrument transformers. The use of such models in combination with an adequate power system simulator will eliminate the need to use approximate generalized coefficients for calculating the RP settings. In addition, this approach is flexible in terms of adaptation to new trends in the development of power systems. In the framework of this direction, a novel method for numerical transformer differential protection setting up using its model has been developed and presented in the article. It also presents the results of the study, which shown its effectiveness in terms of identifying modes with a high degree of risk of incorrect protection actions.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127691177","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}
Kazi Main Uddin Ahmed, J. Sutaria, M. Bollen, S. Rönnberg
{"title":"Electrical Energy Consumption Model of Internal Components in Data Centers","authors":"Kazi Main Uddin Ahmed, J. Sutaria, M. Bollen, S. Rönnberg","doi":"10.1109/ISGTEurope.2019.8905595","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905595","url":null,"abstract":"In the context of modern information technology (IT) industry, cloud computing is gaining popularity for big data handling. Therefore, IT service providers like Google, Facebook and Amazon are expanding their technical resources by building data centers to improve the data processing and data storage facilities under cloud service pattern. However, data centers consume a large amount of electrical energy. In recent years, a lot of research has been done to reduce the electrical energy consumption of data centers by high performance computing. However, very few researchers have focused on the electrical energy consumption by the electrical components inside the data center. In this paper, a component based electrical energy consumption modelling approach is presented to identify the losses of different components as well as their interactions to the total electrical energy consumption of the data center. The electrical energy consumption models of servers and other components are presented as a function of server utilization.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"10 15 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128527752","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":"Customer Baseline Load Estimation for Incentive-Based Demand Response Using Long Short-Term Memory Recurrent Neural Network","authors":"J. Oyedokun, Shengrong Bu, Zhu Han, Xue Liu","doi":"10.1109/ISGTEurope.2019.8905582","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905582","url":null,"abstract":"The transition to an intelligent, reliable and efficient smart grid with a high penetration of renewable energy drives the need to maximise the utilization of customers demand response potential. The availability of smart meter data means this potential can be more accurately estimated and suitable demand response (DR) programs can be targeted to customers for load shifting, clipping and reduction. In this paper, we focus on estimating customer demand baseline for incentive-based DR. We propose a long short-term memory recurrent neural network framework for customer baseline estimation using previous like days data during DR events period. We test the proposed methodology on the publicly available Irish smart meter data and results shows a significant increase in baseline estimation accuracy when compared to traditional baseline estimation methods.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128715609","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":"Distributed Model Predictive Control For Demand Response On Thermal Devices in Building Blocks","authors":"R. Menon, F. Amblard, Jessen Page","doi":"10.1109/ISGTEurope.2019.8905624","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2019.8905624","url":null,"abstract":"There has been increased focus on improving the security and efficiency of the electricity grid resources. Many solutions have been proposed. Demand Response (DR) and Demand Side Management (DSM) are presented as popular solutions in studies towards achieving these goals. This paper studies an implementation of Model Predictive Control (MPC) for a group of buildings with thermal and electric demands. The MPC formulation solves a global problem by decomposing it into smaller decentralized problems. The results are then compared against a centralized MPC implementation for the same site and for the same period of time as the previous MPC implementation. This comparison is able to compare and contrast the advantages and limitations of different MPC implementations applied on real systems. Through this, the study aims to provide clear guidelines on what practices could prove useful when providing DR for groups of buildings utilizing predictive algorithms.","PeriodicalId":305933,"journal":{"name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","volume":"310 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115903280","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}