{"title":"Operational vs. structural strategies for distribution grid planning in Smart Grids context","authors":"V. Gouin, M. Alvarez‐Herault, B. Raison","doi":"10.1109/PTC.2015.7232696","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232696","url":null,"abstract":"This paper presents an analysis tool which aims to identify the constraints in a distribution network subject to aging and appearance of distributed generation and electrical vehicles. In order to regulate the network, the use of new functionalities from Smart Grids is proposed as an alternative to the conventional structural solutions like reinforcement. Different operational strategies - load shedding, reconfiguration, and distributed generation control - are compared.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114603911","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":"Modelling the charging probability of electric vehicles as a gaussian mixture model for a convolution based power flow analysis","authors":"M. Godde, Tobias Findeisen, T. Sowa, P. Nguyen","doi":"10.1109/PTC.2015.7232376","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232376","url":null,"abstract":"This paper presents an approach for modelling the charging probability of electric vehicles as a Gaussian mixture model. The model is built up by assembling adapted multivariate normal probability density functions. This is done because the expectation maximization algorithm fails finding maximum likelihood estimates in respect of the charging power of the generated charging profiles. This Gaussian mixture model enables for capturing the charging profiles comprehensively with a few parameters and therefore it enables for calculating the charging probability dynamically for individual parameter intervals. The underlying assumptions about battery capacity, consumption, charging infrastructure, type of weekday and settlement structure determine the generation of the charging profiles. The proposed approach makes these parameters available for the density. Thereby, the provision of the charging profiles gets obsolete. This density can be used for a convolution based power flow analysis which offers benefits regarding the computational effort and random access memory usage compared to Monte Carlo-like simulations.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121867488","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":"Mixed SDP/SOCP moment relaxations of the optimal power flow problem","authors":"D. Molzahn, I. Hiskens","doi":"10.1109/PTC.2015.7232429","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232429","url":null,"abstract":"Recently, convex “moment” relaxations developed from the Lasserre hierarchy for polynomial optimization problems have been shown capable of globally solving many optimal power flow (OPF) problems. The moment relaxations, which take the form of semidefinite programs (SDP), generalize a previous SDP relaxation of the OPF problem. This paper presents an approach for improving the computational performance of the moment relaxations for many problems. This approach enforces second-order cone programming (SOCP) constraints that establish necessary (but not sufficient) conditions for satisfaction of the SDP constraints arising from the higher-order moment relaxations. The resulting “mixed SDP/SOCP” formulation implements the first-order relaxation using SDP constraints and the higher-order relaxations using SOCP constraints. Numerical results demonstrate that this mixed SDP/SOCP relaxation is capable of solving many problems for which the first-order moment relaxation fails to yield a global solution. For several examples, the mixed SDP/SOCP relaxation improves computational speed by factors from 1.13 to 18.7.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122100453","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":"Contemplation of transformer loss evaluation methods in vertically integrated and decentralized energy systems","authors":"A. Lazari, C. Charalambous","doi":"10.1109/PTC.2015.7232463","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232463","url":null,"abstract":"The majority of published loss evaluation methods reflect on vertically-integrated systems where the generation, transmission and distribution facilities had been owned either by private regulated utilities or by public companies/ government agencies. Particular attention should be given where these vertically-integrated systems are “dis-integrated” into multiple businesses. Given the new era of low carbon electricity markets, it is imperative to address the concept of loss evaluation in a disintegrated market environment with high renewable energy penetration. Therefore, the paper contemplates the main available transformer loss evaluation methods, both, in vertically integrated and decentralized energy systems. In addition, it summarizes and benchmarks the current efforts to address the concept of loss evaluation in energy systems that are experiencing a high penetration of renewable energy sources.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122133252","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. Simonov, Giorgio Daltoe, G. Zanetto, Roberto Conti
{"title":"Smart meters using the Architecture of Future Internet","authors":"M. Simonov, Giorgio Daltoe, G. Zanetto, Roberto Conti","doi":"10.1109/PTC.2015.7232255","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232255","url":null,"abstract":"This article presents software framework that integrates Automated Meter Reading (AMR) and Advanced Metering Infrastructure (AMI) components in the context of Cloud-based Service-Oriented Architecture made available by the Future Internet Public-Private-Partnership. Authors used standard DLMS-COSEM interoperability protocol to convey metering datasets to the FI-WARE cloud. Newly developed framework supports timer-driven metering schemes from the known art. Additionally, it is fully compatible with the new coarse-grained method of analytical accounting of energy.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129326865","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}
J. Dragosavac, Ž. Janda, Tomislav Gajić, D. Arnautović, J. Milanović
{"title":"Parallel operation of two adjacent steam power plants under coordinated Q-V control","authors":"J. Dragosavac, Ž. Janda, Tomislav Gajić, D. Arnautović, J. Milanović","doi":"10.1109/PTC.2015.7232642","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232642","url":null,"abstract":"The paper examines parallel operation of two adjacent steam power plants (SPP) under coordinated reactive power (Q) - voltage control. A coordinated reactive power-voltage controller (CQVC) performs optimal coordination of the synchronous generators' Q outputs in order to maintain the voltage at a SPP HV busbars. When the plants are equipped with CQVC, they are both trying to control the same voltage, so the Q oscillations may occur due to high level of coupling. Before the commissioning of the second CQVC detailed laboratory testing was performed to determine under which conditions the oscillations may occur. The impact of all generators on HV busbars voltage is determined first. Then the worst case scenario is chosen for the most influential generators, i.e., when both CQVCs act simultaneously and independently. The laboratory test rig is developed for CQVC testing. The results showed that coordinated control of influential generators results in stable operation and ensures uniform Q share among involved generators which leads to better power system voltage support.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129799646","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":"The development of demand elasticity model for demand response in the retail market environment","authors":"M. Babar, P. Nguyen, V. Ćuk, I. Kamphuis","doi":"10.1109/PTC.2015.7232789","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232789","url":null,"abstract":"In the context of liberalized energy market, increase in distributed generation, storage and demand response has expanded the price elasticity of demand, thus causing the addition of uncertainty to the supply-demand chain of power system. In order to cope with the challenges of demand uncertainty under the unbundled electricity market, the concept of Market-based Control Mechanism (MCM) in retail market environment has been emerging. This paper presents the concept considering demand elasticity as an opportunity in retail market environment for inventing a new bid mechanism. This work formulates demand elasticity model as a Markov decision problem and implements pursuit algorithm as a machine learning technique to evaluate the price elasticity of demand by predicting the price. The performance of the algorithm is compared with the numerical calculation of price elasticity of demand for the given simulation settings.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129911480","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":"Defensive islanding using self-organizing maps neural networks and hierarchical clustering","authors":"Mohammed Mahdi, I. Genc","doi":"10.1109/PTC.2015.7232427","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232427","url":null,"abstract":"Among the power system corrective controls, defensive islanding is considered as the last resort to secure the system from severe cascading contingencies. The objective is to maintain the stability of the resulting subsystems and to reduce the total loss of load in the system. The slow coherency based islanding can successfully be applied for the defensive islanding. In this paper, two new partitioning methods, hierarchical clustering and clustering using self-organizing maps neural networks, have been proposed to determine the clusters to be used in the defensive islanding. The proposed methods are demonstrated on the 16-generator 68-bus power system and their performances are discussed as their results are compared.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123726944","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}
Christos Ordoudis, P. Pinson, M. Zugno, J. Morales
{"title":"Stochastic unit commitment via Progressive Hedging — extensive analysis of solution methods","authors":"Christos Ordoudis, P. Pinson, M. Zugno, J. Morales","doi":"10.1109/PTC.2015.7232629","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232629","url":null,"abstract":"Owing to the massive deployment of renewable power production units over the last couple of decades, the use of stochastic optimization methods to solve the unit commitment problem has gained increasing attention. Solving stochastic unit commitment problems in large-scale power systems requires high computational power, as stochastic models are dramatically more complex than their deterministic counterparts. This paper provides new insight into the potential of Progressive Hedging to decrease the solution time of the stochastic unit commitment problem with a relatively small trade-off in terms of the suboptimality of the solution. Computational studies show that the run-time is at most half of what is needed to solve the original extensive formulation of the problem, when more than ten wind power scenarios are utilized. These studies demonstrate great potential for solving real-world stochastic unit commitment problems using the Progressive Hedging algorithm.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114541620","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}
Hamada Almasalma, R. J. Albuquerque, R. Caire, N. Hadjsaid
{"title":"An enhanced adaptive data processing Technique for computing synchrophasor measurements under power system frequency variation","authors":"Hamada Almasalma, R. J. Albuquerque, R. Caire, N. Hadjsaid","doi":"10.1109/PTC.2015.7232246","DOIUrl":"https://doi.org/10.1109/PTC.2015.7232246","url":null,"abstract":"This work proposes a frequency-adaptive data processing technique for reliable synchrophasor measurements estimation under power system frequency variation. The proposed technique consists of four steps in which frequency estimation, filtering process, fast linear interpolation, and Radix-2 decimation-in-time (DIT) fast Fourier transform (FFT) approach are applied in a synergistic manner to provide accurate synchrophasor estimates. The sampling rate remains unchanged and the frequency measurement is estimated from the classical weighted least-squares approach, filtering process is executed by a Finite Impulse Response (FIR) filter bank, composed by lowpass and bandpass filters, whose goal is to separate all input signal harmonic components. The digital filter bank's size is limited by the desired harmonic component imposed by the 3-dB cut-off frequency, related to the analog anti-aliasing lowpass filter, and an optimized design has been employed to obtain symmetric coefficients and odd length (type 1 FIR filter). Fast linear interpolation based on trigonometric identities, using adaptive-angles related to the estimated frequency, is applied at each filter output data whose outcomes are used by the half-cycle Radix-2 DIT FFT approach to provide raw data in which the corrected synchrophasor measurements are obtained after the filter phase and amplitude compensations. The proposed technique aims also to evaluate the impact of the frequency variation on each harmonic component present in the input signal. Test signals with ±3 Hz offset-nominal corrupted by harmonics components are applied to evaluate the technique's performance and the results demonstrate its capability in dealing efficiently with signals corrupted by spurious frequencies, being envisaged for potential applications involving M-Class PMU model.","PeriodicalId":193448,"journal":{"name":"2015 IEEE Eindhoven PowerTech","volume":"341 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114730364","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}