{"title":"The real-time simulator for protective relays testing using MATLAB/Simulink software","authors":"A. Smolarczyk, R. Kowalik, E. Bartosiewicz","doi":"10.1109/PSCC.2014.7038394","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038394","url":null,"abstract":"The submitted paper presents a tester designed for testing the protective relays in work conditions close to the real. The device is a simulator operating in real-time of the phenomena taking place in the modeled part of power system. The paper describes the construction (including hardware and software aspects) and operation principle of designed simulator. The MATLAB/Simulink software has been used for modeling the test systems (as parts of the whole power system). Paper includes some example results of distance relay tests performed using designed simulator. In addition, the opportunities for further development of both hardware and software parts of the simulator have also been presented.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114438012","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}
R. J. Cabrai, D. Gazzana, R. Leborgne, A. Bretas, G. Dias, M. Telló
{"title":"Efficiency of rural distribution feeders against lightning: A case study","authors":"R. J. Cabrai, D. Gazzana, R. Leborgne, A. Bretas, G. Dias, M. Telló","doi":"10.1109/PSCC.2014.7038500","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038500","url":null,"abstract":"This paper presents a study which analyzes the performance of rural distribution lines against the occurrence of lightning. The ATP-Draw program was used to simulate the electromagnetic phenomena and to evaluate the transients caused by lightning discharges. The model of the distribution system is based on the representation of its elements (poles, insulators, equivalent circuit, cross-arm and grounding system). The elements are modeled by its electrical parameters. In the proposed study the rural feeder was represented taken into account the frequency dependence of its parameters. Three topologies of distribution lines are analyzed. A comparative analysis of their performance is discussed.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115018777","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 assessment of the impact of wind power generation on voltage sags in composite systems","authors":"J. Baptista, A. Rodrigues, Maria G. Silva","doi":"10.1109/PSCC.2014.7038369","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038369","url":null,"abstract":"This paper presents a methodology to assess the impact of wind power generation on the voltage sags in generation and transmission composite systems. The proposed methodology is based on probabilistic techniques to model uncertainties associated with fault scenarios and wind speed fluctuations. The probabilistic technique used to represent the uncertainties is the non-sequential Monte Carlo Simulation. The voltage sags resulting from fault scenarios were evaluated using symmetrical components technique. The combination of these two techniques was used to estimate the nodal and systemic indices associated with the frequency of voltage sags. The proposed methodology to evaluate these indices was tested on the IEEE Reliability test system of 24 buses. The tests results demonstrate that the wind generation has a significant impact on the frequency indices related to voltage sags.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"143 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243033","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}
A. D. Bonis, J. Catalão, A. Mazza, G. Chicco, F. Torelli
{"title":"A novel optimization algorithm solving network reconfiguration","authors":"A. D. Bonis, J. Catalão, A. Mazza, G. Chicco, F. Torelli","doi":"10.1109/PSCC.2014.7038421","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038421","url":null,"abstract":"This paper presents a new way to formulate and solve the distribution system optimal reconfiguration problem. The system equations representing the network topology, power flow equation and objective function equation are transformed into an artificial dynamic model formulated by using only differential equations, on the basis of an error function defined into a Lyapunov space domain. Possible inequality constraints are handled by using additional slack variables to transform them into equality constraints. The solution of the optimal reconfiguration problem is obtained at the convergence of the artificial dynamics and is based on dynamic optimal power flow formulation. Starting from a time domain continuous problem, a mixed continuous integer solution in Lyapunov space domain is obtained. The results obtained on a test system are shown and discussed.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123375839","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":"Effective measurement design for cyber security","authors":"M. Gol, A. Abur","doi":"10.1109/PSCC.2014.7038496","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038496","url":null,"abstract":"Cyber-attacks against power systems have been widely researched in recent years. Several studies have so far focused on ways of deceiving the state estimator so that the resulting estimates would be wrong. On the other hand, the role of network topology and measurement design on detectability of cyber-attacks has not been widely investigated. This work examines the measurements and network topology to identify vulnerabilities against targeted cyber-attacks. Specifically, it considers the leverage measurements, whose errors are typically not easily detected and therefore they may bias estimators when they carry gross errors. The paper also illustrates that this vulnerability can be addressed by strategic replacement of few of these measurements by phasor measurement units (PMUs).","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121587196","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}
P. Panciatici, M. Campi, S. Garatti, S. Low, D. Molzahn, A. Sun, L. Wehenkel
{"title":"Advanced optimization methods for power systems","authors":"P. Panciatici, M. Campi, S. Garatti, S. Low, D. Molzahn, A. Sun, L. Wehenkel","doi":"10.1109/PSCC.2014.7038504","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038504","url":null,"abstract":"Power system planning and operation offers multitudinous opportunities for optimization methods. In practice, these problems are generally large-scale, non-linear, subject to uncertainties, and combine both continuous and discrete variables. In the recent years, a number of complementary theoretical advances in addressing such problems have been obtained in the field of applied mathematics. The paper introduces a selection of these advances in the fields of non-convex optimization, in mixed-integer programming, and in optimization under uncertainty. The practical relevance of these developments for power systems planning and operation are discussed, and the opportunities for combining them, together with high-performance computing and big data infrastructures, as well as novel machine learning and randomized algorithms, are highlighted.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121891279","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":"Effect of price responsive demand on the operation of microgrids","authors":"F.O. Ramos, C. Cañizares, Kankar Bhattacharya","doi":"10.1109/PSCC.2014.7038312","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038312","url":null,"abstract":"In this paper, a demand elasticity model is developed and tested for the dispatch of microgrids. The price obtained from dispatching the network in a base-case scenario is used as input to a demand elasticity model; this demand model is then used to determine the price-responsive demand for the next iteration, assuming that the load schedule is defined a day ahead. Using this scheme, trends for demand, hourly prices, and total operation costs for a microgrid can be obtained, to study the impact of demand response on unit commitment. This way, for a microgrid, the effect on the scheduling of diesel generators and energy storage systems can be analyzed with respect to price-elastic loads. The results for a benchmark microgrid show that the proposed 24-hour model eventually converges to a steady state, with prices and costs at their lowest values for different scenarios. Moreover, it is confirmed that elastic demand in a microgrid reduces electricity price variability and mitigates the need for storage in the presence of high penetration of renewable energy.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122180473","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":"Multiple objective Particle Swarm Optimization approach to enable smart buildings-smart grids","authors":"L. A. H. Munoz, P. Nguyen, W. Kling","doi":"10.1109/PSCC.2014.7038381","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038381","url":null,"abstract":"This paper proposes an effective method for improving the flexibility of buildings as electrical loads to support the distribution grid operation. The buildings energy consumption is the result of the operation of the energy systems that are there to support its operation. As the buildings main purpose is to provide a safe environment, a great part of the buildings energy demand come from the operation of the comfort systems. Furthermore, the aim is always to use as less electrical energy as possible. In this paper, two conflicting objectives, i.e. maximization of comfort and minimization of energy consumption, are optimized to provide a Pareto optimal solution, taking into account the low voltage network operation. A Weighted Aggregation Approach is used in a combination with Particle Swarm Optimization to find this Pareto optimal. The model is tested on a low voltage distribution test feeder, and different weights are used to tune the flexibility of the building.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121071270","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 transmission capacity allocation for cross-border exchange of Frequency Restoration Reserves (FRR)","authors":"Y. Gebrekiros, G. Doorman","doi":"10.1109/PSCC.2014.7038426","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038426","url":null,"abstract":"This paper describes a model of the Northern European power markets that includes both the day-ahead market and markets for upward and downward Frequency Restoration Reserves. The model is similar to present European markets, procuring reserve capacity before the clearing of the day-ahead market. We compare a market design for the procurement of reserve capacity within each balancing region and an alternative design with cross-border exchange of reserve capacity. For the latter case an algorithm is used for the optimal reservation of transmission capacity based on reserve capacity bids and expected day-ahead prices. It turns out to be optimal to reserve about 30 % or the interconnection capacity between Norway and the Netherlands for reserve capacity procurement most of the year and between 5 % and 26 % of the interconnection capacity between the Nordic system and Germany. Between the Netherlands and Germany reservation is more volatile. Costs are reduced in the market for Frequency Regulation Reserves, as expected, but also in the day-ahead market due to the increased flexibility in the most expensive market. Contrary to what is generally assumed, reserving transmission capacity for reserve procurement can thus be a win-win situation for both the reserve and the day-ahead markets.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125381078","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}
F. Baccino, F. Conte, S. Massucco, F. Silvestro, S. Grillo
{"title":"Frequency regulation by management of building cooling systems through Model Predictive Control","authors":"F. Baccino, F. Conte, S. Massucco, F. Silvestro, S. Grillo","doi":"10.1109/PSCC.2014.7038380","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038380","url":null,"abstract":"Frequency stability in power systems is a key driver for the maintenance of supply quality. Thermal loads, if properly managed, can play an important role in providing support to the frequency regulation. In this framework, the paper presents a control strategy to enable a load aggregator to manage a set of building cooling systems to contribute both to primary and secondary regulation. The proposed strategy uses the Model Predictive Control approach. Frequency support is provided without compromising the natural mission of the controlled loads, i.e., the end-user thermal comfort. The introduced method is tested by means of software-in-the-loop simulation studies. The implemented testing framework emulates real-time operation of a building aggregate within a benchmark network with high penetration of wind generation. Results show the ability of the control algorithm to optimally coordinate the contribution of thermal loads both to primary and secondary frequency regulation.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126221546","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}