{"title":"Detection and classification of power disturbances using half multi-resolution morphology gradient","authors":"I. Saputra, J. S. Smith, Lin Jiang, Q. Wu","doi":"10.1109/ISGTEurope.2016.7856263","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856263","url":null,"abstract":"This paper presents a new method for the detection and classification of power disturbances in power distribution systems using Half Multi-resolution Morphology Gradients (H-MMG). This method is based on multi-resolution morphology gradients (MMG), but the process only uses half the MMG strategy. In addition, this strategy will operate in level 1 only, so this will reduce the processing and increase the speed of detection. The location of disturbances can be detected as the difference between the input signal and the ascending and descending edges of the waveform. This strategy has been simulated using Matlab for sag, swell, voltage interruption, flicker, notch and transients. The results show accurate detection when disturbances occurred in the system.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122052197","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":"Increased utilization and improved safety of transmission grid operation","authors":"Gasper Lakota, J. Kosmac","doi":"10.1109/ISGTEurope.2016.7856247","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856247","url":null,"abstract":"In the recent years, ELES, the Slovenian transmission system operator, in cooperation with, implemented a system for real-time and short-term forecast assessment of operating limits, named SUMO. The system's aim is to improve reliability and safety of network operating, especially in cases of increased power flows through the existing transmission system infrastructure.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116627174","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":"Value quantification of electric vehicle response on network investment in the UK","authors":"Xiaohe Yan, C. Gu, Furong Li","doi":"10.1109/ISGTEurope.2016.7856313","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856313","url":null,"abstract":"Electric vehicles (EVs) are becoming a significant element in the electricity system to help meet the environmental targets and can aid the network operator to shift the peak demand in the future. Therefore, it is important to evaluate the future economic impacts resulting from the increasing EV penetration to the national network. However, the potential contribution of EVs to network investment is difficult to quantify. Although we can measure the reduced capacity during peak demand for a specified low voltage network, it is difficult to quantify the impact at the national level. This paper uses a typical LV network to analyze the investment savings at this voltage level and extrapolates the results to cover the entire UK network by considering the coincidence factor, peak shaving percentage etc. From the demonstration, it can be concluded that semi-urban areas and low voltage networks will have the greatest benefit from a reduction in required investment compared with other areas and voltage levels.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116826571","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}
G. Kryonidis, Natalia Theologou, A. Chrysochos, C. Demoulias, G. Papagiannis
{"title":"An enhanced decentralized voltage regulation scheme for the reduction of tap changes in HV/MV transformers under high DG penetration","authors":"G. Kryonidis, Natalia Theologou, A. Chrysochos, C. Demoulias, G. Papagiannis","doi":"10.1109/ISGTEurope.2016.7856243","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856243","url":null,"abstract":"In this paper, a decentralized control scheme is proposed that achieves two objectives: To mitigate overvoltages and to reduce the frequency of tap changes in the high/medium-voltage transformer. The proposed control is based on the reactive power capability of the distributed generation units, while actions are individually taken by each unit based only on local measurements. The validity of this method is examined through time-domain and time-series simulations. The former highlights the quick response and the robustness of the proposed control, whereas in the latter the performance and effectiveness of the proposed method in the long term is presented, focusing on the reduction of the transformer tap changes.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117069529","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":"Impact of electric vehicle load response variation on frequency stability","authors":"H. Qazi, D. Flynn, Z. Rather","doi":"10.1109/ISGTEurope.2016.7856268","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856268","url":null,"abstract":"Electric vehicle (EV) load in future power systems is likely to increase due to decarbonisation of the transport fleet. EV load can be utilised to provide primary frequency reserve (PFR), provided its variability with respect to system requirements is taken into consideration. EV based PFR can in certain cases negatively impact system frequency stability. Better estimation of EV reserve and consideration of its volume and responsiveness, relative to system PFR requirements, therefore becomes important. This paper presents a model for EV load estimation, and proposes control mechanisms which cater for available EV reserve variability and system requirements. The results show that the proposed control mechanisms are robust and ensure frequency stability, with negligible impact on the speed of response and hence the frequency nadirs.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128474723","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}
Mihai Sănduleac, Catalin Chimirel, M. Eremia, L. Toma, J. Martins
{"title":"Supporting market solutions by calculating ancillary services and quality of service with metrology meters","authors":"Mihai Sănduleac, Catalin Chimirel, M. Eremia, L. Toma, J. Martins","doi":"10.1109/ISGTEurope.2016.7856190","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856190","url":null,"abstract":"The increasing penetration of renewables at TSO and DSO level, requires more complex solutions for ancillary services. Currently, in large interconnected power systems, there are various solutions for their calculation. The ancillary services for load balancing control or for cross-border power exchange are currently calculated based on SCADA measurements or on TSO's AGC order. In this paper authors propose alternative solutions for calculating, with high accuracy, the ancillary services and quality of service by using legally enforced metrology meters using 1-minute load profiles. These solutions are based on several exploratory tests performed within the Romanian power system and on various simulations. Moreover, the traded quantities on energy and balancing markets can be exactly retrieved on the metrology meter measurement — trustable through IEC accuracy compliance, thus bringing high transparency and trust for partners. The method applies also for aggregated services provided e.g. by Virtual Power Plants.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124619767","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. Haakana, V. Tikka, J. Tuunanen, J. Lassila, N. Belonogova, J. Partanen, S. Repo, J. Pylvanainen
{"title":"Analyzing the effects of the customer-side BESS from the perspective of electricity distribution networks","authors":"J. Haakana, V. Tikka, J. Tuunanen, J. Lassila, N. Belonogova, J. Partanen, S. Repo, J. Pylvanainen","doi":"10.1109/ISGTEurope.2016.7856338","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856338","url":null,"abstract":"This paper presents an analysis methodology to consider the effects of customer-side battery energy storage systems (BESS) on electricity distribution networks motivated by power-based tariffs. The paper describes the methodology by which the network effects can be defined. The methodology is verified by applying actual distribution network and load data. The analysis shows that transition from traditional energy-based distribution tariff to power-based tariff can lead to an accelerating increase in the application of customer-side energy storages. The results indicate that the network effects of the BESS are significant. The effect of energy storages depends partly on the voltage level of the network component. The results show that peak loads decrease in the case electricity distribution network. The most significant decrease, over 10% on average, is found in the low-voltage network, which is not a minor improvement.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125164160","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}
N. Voropai, Z. Styczynski, P. Komarnicki, V. Stepanov, K. Suslov, E. Stashkevich
{"title":"Energy-intensive manufacturing enterprises as active players in demand side management system","authors":"N. Voropai, Z. Styczynski, P. Komarnicki, V. Stepanov, K. Suslov, E. Stashkevich","doi":"10.1109/ISGTEurope.2016.7856321","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856321","url":null,"abstract":"Nowadays, one of the primary problems in the energy industry is ensuring rational operating conditions of electric power systems under variable loads and with regard to cost-effectiveness and technical capabilities of power plants. Supply fluctuated load considerably increases the costs in the power systems. The price of electricity in the case by changed load is generally higher than by constant load. This price cannot be decreased without cooperation with consumers. The last decade has shown an intensive adoption of new smart tools and technologies for automation in the electricity supply systems, which make it possible to increase the speed of receiving, transferring, processing and mapping the information, and to implement new capabilities of active behavior of consumers in managing their electricity demand on the basis of market mechanisms. The paper addresses a technique for the optimization of daily load curve for the case of a specified tariff mix. The genetic algorithms are used to apply the cost benefits. The usefulness of this method is illustrated by two case studies of energy-intensive manufacturing enterprises as active consumers and players on the energy market","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114711274","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}
Ahmed M. Abdulmohsen, Metwally A. El-Sharkawy, W. Omran
{"title":"Power management in islanded microgrids using multi-agent systems","authors":"Ahmed M. Abdulmohsen, Metwally A. El-Sharkawy, W. Omran","doi":"10.1109/ISGTEurope.2016.7856229","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856229","url":null,"abstract":"This paper presents a power management strategy for islanded microgrids. The proposed strategy utilizes the MultiAgent System (MAS) to perform the required tasks. The strategy is divided into two stages. The first stage is an operational planning stage which aims to optimize the operation of the microgrid in the islanded mode. This is achieved by performing Optimal Power Flow (OPF) periodically in the grid connected mode using a central agent. Once the islanded mode is detected, the results of the OPF are used to balance the operation of the microgrid. Several distributed agents along with the central agent aim to further fine tune the set points obtained from the OPF based on the actual operating conditions of the microgrid. To demonstrate the effectiveness of the proposed strategy, four scenarios are simulated and presented.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"705 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126317874","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":"Analyzing and improving the energy balancing market in the power trading agent competition","authors":"Mohammad Ansarin, W. Ketter, John Collins","doi":"10.1109/ISGTEurope.2016.7856197","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2016.7856197","url":null,"abstract":"Widespread adoption of sustainable energy sources is driving electricity grid operators to supplement hierarchical control regimes with market-based control that better motivates stakeholder involvement. However, to prevent market failures, such controls require testing before real-world implementation. The Power Trading Agent Competition is a competitive simulation of distribution grids that mirrors real-world scenarios and tests alternative policy and business scenarios. In Power TAC, broker agents acquire energy through bidding in a forward wholesale market to satisfy their customers overall demand on an hourly basis. In addition, a balancing market is intended to resolve real-time energy imbalances caused by broker prediction errors using demand response resources. As part of the annual alignment process, we discovered that brokers in the 2015 competition were persistently buying insufficient energy on the wholesale market to satisfy their customer demand. Instead, the balancing market made up the deficit, charging brokers a premium over the wholesale price. Also, demand response resources were heavily underused. We studied the economic impact of this systematic imbalance on brokers and discovered that they were behaving rationally, given the prices they faced in the two markets. We present the process and results of this analysis, and show how the balancing markets pricing mechanism can be adjusted for the 2016 competition to make it rational for brokers to achieve an overall neutral imbalance.","PeriodicalId":330869,"journal":{"name":"2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132503414","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}