V. Nikolaidis, C. Arsenopoulos, A. Safigianni, C. Vournas
{"title":"A distance based protection scheme for distribution systems with distributed generators","authors":"V. Nikolaidis, C. Arsenopoulos, A. Safigianni, C. Vournas","doi":"10.1109/PSCC.2016.7541019","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7541019","url":null,"abstract":"This paper investigates the application of distance relays in distribution systems with distributed generators. An analysis of the parameters that influence the effectiveness of distance relaying in distribution networks is performed. Protection coordination between the distance relays and the existing protection means on the line is studied with the help of a realistic distribution network. Coordination problems are identified and a simple distance-based protection scheme is proposed.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116925385","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}
Martin Büscher, M. Kube, Klaus Piech, S. Lehnhoff, S. Rohjans, Lars Fischer
{"title":"Towards Smart Grid-ready substations: A standard-compliant protection system","authors":"Martin Büscher, M. Kube, Klaus Piech, S. Lehnhoff, S. Rohjans, Lars Fischer","doi":"10.1109/PSCC.2016.7540824","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540824","url":null,"abstract":"To protect the power grid from possible breakdowns and to ensure a reliable energy supply, proper protection systems are crucial. State-of-the-art protection systems used in power distribution networks are usually based on single-purpose protection devices with minor flexibility in adapting to changing requirements. These protection devices often run proprietary firmware/software, requiring custom tools for configuration, complicating the replacement or migration of a device at the end of its lifetime. In this contribution a novel and standard-compliant protection system architecture is presented, ranging from the control center level down to the process level with respective sensors and actuators. This architecture is accompanied by consistent and automated IEC 61850-compliant development process for building and configuring protection systems from requirements analysis to the productive operation.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132822238","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}
E. Ciapessoni, D. Cirio, A. Pitto, G. Kjølle, S. H. Jakobsen, M. Sforna
{"title":"Contingency screening starting from probabilistic models of hazards and component vulnerabilities","authors":"E. Ciapessoni, D. Cirio, A. Pitto, G. Kjølle, S. H. Jakobsen, M. Sforna","doi":"10.1109/PSCC.2016.7540897","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540897","url":null,"abstract":"The need to analyze high-impact low-probability events on power systems, due to natural and man-related threats calls for comprehensive approaches to security assessment, which exploit the concept of risk. The paper describes a probabilistic approach and a tool, developed in the EU research project AFTER, aimed at selecting the most critical contingencies to be analyzed in depth, starting from short-term probabilistic models of incumbent natural or man-related threats and from component vulnerability curves in an integrated power and ICT system. A fast estimate of the contingency impact is obtained by using topological metrics. Results on a realistic power system include the sensitivity analyses of different contingency selection options, and the verification of the performances of the estimated impact metrics for screening purposes.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128314195","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 method for the evaluation and optimisation of power losses and reliability of supply in a distribution network","authors":"J. Ding, K. Bell, I. Elders","doi":"10.1109/PSCC.2016.7541010","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7541010","url":null,"abstract":"This paper presents two methods for evaluating and optimizing the configuration of a distribution network. A new loss-optimization method is described which partitions, optimizes and then recombines the network topology to identify the lowest loss configurations available. A reliability evaluation method is presented which evaluates, on a load-by-load basis, the most effective restoration path and the associated time. In contrast to previously-reported methods, the operation of different types of switch is integrated into this approach, reducing dependency on pre-determined restoration times for each load each fault location. This provides a more accurate estimate of the outage durations through identification of the specific restoration method for each load under each fault condition. The optimization method applied is shown to be effective in identifying optimally-reliable network topologies. Significant benefits are shown to be available.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134123808","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}
Jidong Chai, Yong Liu, Jiahui Guo, Ling Wu, D. Zhou, Wenxuan Yao, Yilu Liu, T. King, J. Gracia, Mahendra Patel
{"title":"Wide-area measurement data analytics using FNET/GridEye: A review","authors":"Jidong Chai, Yong Liu, Jiahui Guo, Ling Wu, D. Zhou, Wenxuan Yao, Yilu Liu, T. King, J. Gracia, Mahendra Patel","doi":"10.1109/PSCC.2016.7540946","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540946","url":null,"abstract":"With the increasing size and complexity of the power grid, wide-area measurement system (WAMS) has been studied and implemented more widely. As a pioneering WAMS deployed at the distribution level, the frequency monitoring network FNET/GridEye has been providing independent observation of dynamic performance of U.S. and other worldwide power grids continuously since 2004. By utilizing GPS-time-synchronized monitors called frequency disturbance recorders (FDRs), FNET/GridEye is capable to capture dynamic grid behaviors (e.g., frequency and voltage phase angle). Compared to the three-phase phasor measurement units (PMUs), the FDRs can be conveniently deployed across the grid at distribution level without complex procedure and heavy outlay. With years' continuous development and systematic management, FNET/GridEye has thrived with multiple advanced online and offline applications. The system has been proved to be highly effective in enhancing power grid operators' situational awareness capabilities. In this paper, the latest accomplishments of FNET/GridEye will be introduced.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134346413","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}
Fabio Rodrigo Siqueira Batista, A. F. Rodrigues, L. Marzano, A. Melo
{"title":"Assessing investment analysis of wind power generation projects in Brazil","authors":"Fabio Rodrigo Siqueira Batista, A. F. Rodrigues, L. Marzano, A. Melo","doi":"10.1109/PSCC.2016.7540927","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540927","url":null,"abstract":"This paper presents a set of methodologies developed in order to support investment decision on electric power generation projects in Brazil. The main goal of such methodologies is to properly consider the unsystematic risk that affects the cash flow of those projects. Additionally, a typical wind power generation project will be evaluated in accordance with the rules of the Brazilian power market. Dominant hiring strategies will be determined for such project, i.e., the strategies that, for a given risk level, offer the biggest expected return.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128993877","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":"Voltage unbalance compensation with smart three-phase loads","authors":"P. Douglass, I. Trintis, S. Munk‐Nielsen","doi":"10.1109/PSCC.2016.7540918","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540918","url":null,"abstract":"This paper describes the design, proof-of-concept simulations and laboratory test of an algorithm for controlling active front-end rectifiers to reduce voltage unbalance. Using inputs of RMS voltage, the rectifier controller allocates load unevenly on its 3 phases to compensate for voltage unbalance originating in the power supply network. Two variants of the algorithm are tested: first, using phase-neutral (P-N) voltage as input, second, using phase-phase (P-P) voltage. The control algorithm is described, and evaluated in simulations and laboratory tests. Two metrics for quantifying voltage unbalance are evaluated: one metric based on the maximum deviation of RMS P-N voltage from the average voltage and one metric based on negative sequence voltage. The tests show that controlling P-N voltage can in most cases eliminate the deviations of P-N voltage from the average voltage, but it does not reduce the negative sequence voltage. The controller that uses the P-P voltage as input eliminates the negative sequence voltage, and reduces P-N voltage deviations from the average to approximately half of their initial value. Current unbalance is reduced when the voltage unbalance is caused by asymmetrical loads, but it is increased in a scenario with unbalanced voltage sources. These results suggest that the optimal algorithm to reduce system unbalance depends on which system parameter is most important: RMS P-N voltage unbalance, negative sequence voltage, or current unbalance.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128982200","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":"Short-term voltage stability improvement by active and reactive power control using advanced fault ride-through capability of photovoltaic systems","authors":"K. Kawabe, Y. Ota, A. Yokoyama, Kazuyuki Tanaka","doi":"10.1109/PSCC.2016.7540842","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7540842","url":null,"abstract":"The large integration of photovoltaic (PV) power generation systems into power systems causes deterioration in power system stability. In our previous work, we have shown that reactive power control using the inverters of PV systems, known as the dynamic voltage support (DVS) capability, is a promising approach to improve the short-term voltage stability. In this paper, we propose a novel DVS capability as a function in the advanced fault ride-through (FRT) capability of PV inverters. In contrast to the conventional DVS capability, the proposed method uses both active- and reactive-power injection to improve the short-term voltage stability. Numerical examples show that the proposed DVS capability further improves the short-term voltage stability compared with the conventional DVS capability. Further, the proposed method can alleviate a frequency drop after a fault caused by interruption of the PV systems.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128587651","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. Petretto, M. Cantu, G. Gigliucci, F. Pilo, G. Pisano, N. Natale, G. G. Soma, M. Coppo, R. Turri
{"title":"Representative distribution network models for assessing the role of active distribution systems in bulk ancillary services markets","authors":"G. Petretto, M. Cantu, G. Gigliucci, F. Pilo, G. Pisano, N. Natale, G. G. Soma, M. Coppo, R. Turri","doi":"10.1109/PSCC.2016.7541020","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7541020","url":null,"abstract":"Nowadays, renewable energy sources feed significant shares of energy demand, resulting in a reduction of market energy price but also a significant increase of expenditures for ancillary services due to inherent not complete predictability and programmability. Thus loads and generation in the distribution network are more and more required to play an active role in supporting grid stability by participating to ancillary service markets, either directly or through aggregators. The paper presents a novel procedure to estimate distribution networks capabilities to support grid stability, by making use of synthetic representation of HV/MV substations and their relevant distribution networks with a GIS based clustering procedure. The impact of active distribution networks to the bulk ancillary service market is then evaluated by applications to the Italian electric system and by assuming different regulatory frameworks for transmission/distribution network market interactions.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114302693","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 stochastically distributed renewable PV generation on distribution network","authors":"M. Begovic, Insu Kim, M. Kezunovic","doi":"10.1109/PSCC.2016.7541018","DOIUrl":"https://doi.org/10.1109/PSCC.2016.7541018","url":null,"abstract":"Small-scale and decentralized renewable distributed generation (DG) systems, especially PV systems, will soon be dispersed in distribution networks. The objective of this study is to present tools and algorithms useful for planning distribution networks enhanced by randomly distributed DG. To remove the uncertainties of the location, the capacity, and the field orientation of randomly distributed PV systems, a stochastic simulation algorithm is implemented. The stochastic simulation analyzes the impact of stochastically dispersed residential PV systems from the perspective of energy, especially regarding peak power, electricity generation costs, and emissions, and quantifies the effects of the method of variance reduction, including importance sampling.","PeriodicalId":265395,"journal":{"name":"2016 Power Systems Computation Conference (PSCC)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127147018","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}