{"title":"Sensitivity analysis of voltage sag based fault location algorithm","authors":"Po-Chen Chen, V. Malbasa, M. Kezunovic","doi":"10.1109/PSCC.2014.7038389","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038389","url":null,"abstract":"In this paper, the global, variance-based, sensitivity analysis is used to quantify the impact of measurement imperfections on voltage sag based fault location. This kind of fault location requires voltage phasor information from meters to be compared to simulated cases in order to locate faults. However, meters are prone to measurement imperfections. It is therefore critical that the impact of measurement imperfections, such as measurement and loading errors, are fully assessed to account for uncertainty in algorithm inputs. Sensitivity analysis was used to attribute responsibility for uncertainty in fault location to uncertainty in the inputs of the fault location algorithm. The results demonstrate that the single most detrimental factor to precise fault location is large fault resistance, both alone and in combination with other factors. Although accurately deduced by the algorithm, other impacts of this fault feature adversely impact accuracy.","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":"129794751","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":"Evaluation of classification methods for on-line identification of power system dynamic signature","authors":"Tingyan Guo, Jiachen He, Zhen Li, J. Milanović","doi":"10.1109/PSCC.2014.7038430","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038430","url":null,"abstract":"The paper investigates the use of Decision Tree (DT), Ensemble DT and multiclass Support Vector Machine (SVM) for on-line prediction of post-fault system dynamic signature based on Phasor Measurement Unit (PMU) measurements. The performance of these multiclass classification techniques is compared in terms of i) how fast the prediction about generator grouping can be made after the clearance of transient disturbance and ii) the accuracy of prediction. The application of these methods is illustrated on a 16-machine, 68-bus test system. Results indicate that the Ensemble DT method performs the best by achieving accuracy of close to 90% using 10 cycles data of post-disturbance generator rotor angles as predictors and over 90% using 30 cycles data of rotor angles as predictors.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"62 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":"114277370","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":"An AC OPF-based heuristic algorithm for optimal transmission switching","authors":"F. Capitanescu, L. Wehenkel","doi":"10.1109/PSCC.2014.7038445","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038445","url":null,"abstract":"This paper focuses on reducing generators dispatch cost by means of transmission line switching. The problem is formulated as a mixed-integer nonlinear program (MINLP) optimal power flow (OPF). A scalable heuristic algorithm is proposed to break-down the complexity of the problem due to the huge combinatorial space. The algorithm aims at providing the sequence of lines to be removed from service, one at the time, until no further decrease in the dispatch cost can be obtained. It identifies the line candidate for removal at each step by exploiting the (continuously relaxed values of) lines breaker statuses at the solution of a relaxed OPF problem. The algorithm thus relies on solving a sequence of OPF problems formulated as nonlinear programs (NLPs). The effectiveness of the approach is demonstrated on the IEEE118-bus system. Results show that the approach can provide good quality sub-optimal solutions with relatively small computational effort and by removing only few lines from service.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"85 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":"123355585","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":"Storage management algorithm for schedule based DSO system operation with respect to TSO's system responsibility","authors":"R. Schwerdfeger, D. Westermann","doi":"10.1109/PSCC.2014.7038336","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038336","url":null,"abstract":"Global trends show the worldwide increasing demand of energy and growing scarcity of fossil resources. To guarantee a safe and reliable electrical power supply also in future times, the aspect of sustainable electrical power generation is becoming more and more important. Thus an increasing number of countries meet this challenge with a steadily growing amount of renewable electricity production. Especially in Germany a part of the electrical power generation shifts into the medium and low voltage levels. Their increasing importance for the power supply requires a new way of distribution system operation with respect to transmission system operator's (TSO's) system responsibility. This paper proposes a schedule based distribution system operator (DSO) operation approach with special focus on the storage management algorithm. Numerical case studies have been performed to analyze the characteristics of the developed algorithms. It is shown, that the defined schedule between DSO and TSO grid level can be realized, without creating critical grid situations.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"2 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":"124015080","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}
Frederic J. Plumier, P. Aristidou, C. Geuzaine, T. Cutsem
{"title":"A relaxation scheme to combine phasor-mode and electromagnetic transients simulations","authors":"Frederic J. Plumier, P. Aristidou, C. Geuzaine, T. Cutsem","doi":"10.1109/PSCC.2014.7038484","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038484","url":null,"abstract":"This paper deals with a new scheme for coupling phasor-mode and electromagnetic transients simulations. In each simulation, an iteratively updated linear equivalent is used to represent the effect of the subsystem treated by the other simulation. Time interpolation and phasor extraction methods adapted to this scheme are presented and compared to existing methods. Finally, simulation results obtained with a 74-bus test system are reported.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"32 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":"115204078","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":"Non-parametric probability density forecast of an hourly peak load during a month","authors":"Y. Bichpuriya, S. Soman, Arige Subramanyam","doi":"10.1109/PSCC.2014.7038464","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038464","url":null,"abstract":"The Load Serving Entity (LSE) requires, for its power procurement portfolio management, accurate peak load forecast in medium term (upto six months ahead). A complete description of the random variable, i.e., load, is provided by probability density function. Hence, we consider the problem of forecasting probability density function of hourly peak load during a month. First, we propose a non-parametric model based on the Alternating Conditional Expectation (ACE) to obtain point forecast. Then, by considering multiple scenarios of the weather variables i.e., temperature-humidity tuples, we obtain probability density forecast of the peak load. Out-of-sample testing is used to demonstrate efficacy of the proposed approach.","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":"130784373","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}
K. Vanthournout, W. Foubert, C. Stuckens, B. Robben, Geert Premereur
{"title":"A norm behavior based deterministic methodology for demand response base lines","authors":"K. Vanthournout, W. Foubert, C. Stuckens, B. Robben, Geert Premereur","doi":"10.1109/PSCC.2014.7038309","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038309","url":null,"abstract":"One of the keystones required to bring demand response from academia and pilots to the industry and the market, is a reliable demand response base line methodology to measure the performance of the DR resources and for DR billing settlement. However, most base line methodologies proposed in the literature use statistical analysis of historic consumption data when no demand response is active. The availability of such data drops as demand response is more continuously used. We propose and define a base line methodology that builds on a norm behavior convention, where this norm behavior can be derived from the status and configuration data of the flexible devices, rather than from historic measurements. This is illustrated for postponable and buffered appliances. Norm behavior base lines can also be used for interfacing between aggregator and user of the flexibility. This has been deployed in the Linear residential demand response pilot to realize intraday balancing. The first results show that the base line methodology operates as expected. They also show the asymmetry of the flexibility offered by postponable non-interruptable white good appliances.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"26 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":"130967337","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":"European Power Exchange day-ahead market clearing with Benders Decomposition","authors":"G. A. Dourbois, P. Biskas","doi":"10.1109/PSCC.2014.7038452","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038452","url":null,"abstract":"A European Power Exchange day-ahead market with both simple and combinatorial products is modeled in this paper and cleared using Benders Decomposition. Except from simple hourly supply offers and demand bids, the products comprise supply and demand profile block offers/bids, and supply and demand linked profile block offers/bids. The problem constitutes a Mixed Integer Linear Programming model having a decomposable structure, which is decomposed in terms of binary and continuous variables, and solved using the Benders Decomposition approach. The master problem includes the binary variables, the decisions of which are transferred to the sub-problem, which incorporates the problem continuous variables. The iterations of Benders method constitute inner iterations; outer iterations are also performed in order to handle the paradoxically accepted and rejected blocks. The overall algorithm converges to the solution of the original MILP problem. The proposed approach is evaluated using the IEEE RTS-96 three-area test system.","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":"128483488","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":"Risk assessment of critical time to renewable operation with steady-state security region","authors":"Yunhe Hou, Jie Yan, Chaoyi Peng, Zhijun Qin, Shunbo Lei, Haiming Ruan","doi":"10.1109/PSCC.2014.7038341","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038341","url":null,"abstract":"Uncertain and variable characteristics of renewable energy resources introduce challenges to power system operation. A normal operating point might be drifted towards an unreliable operating point due to stochastic outputs od renewables. This paper proposes a novel method for estimating critical time to unreliable operating point with steady-state constraints. In this work, a stochastic differential equation is employed to describe the distribution of renewables with predictable tendency and stochastic errors of prediction; meanwhile, the DC power flow based steady-state security region is used to restrict the injected space. To find the critical time that uncontrollable renewables leave the security region, according the flexibility requirements defined by NERC, the uncontrollable region is identified with the Fourier-Motzkin elimination first. And then, by solving the Chebychev center problem, the critical distance for variable renewable outputs is obtained. Finally, an analytical solution of expected exit-time for renewable outputs leaving the security region is given with the Martingale stopping theorem. The proposed method can be used to construct the condition-driven risk indicators. An illustrative example is employed to demonstrate and validate the proposed method.","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":"131292355","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 evaluation of PV generation on LV networks","authors":"A. Supponen, S. Repo","doi":"10.1109/PSCC.2014.7038331","DOIUrl":"https://doi.org/10.1109/PSCC.2014.7038331","url":null,"abstract":"In distribution network planning, network loads are modeled with customer class specific load profiles. These profiles use hourly values of expected power and its standard deviation to represent the probability distribution of hourly load for a certain customer class. This paper demonstrates a method for evaluating network impacts of grid connected small scale distributed photovoltaic (PV) generation using a similar concept. The method is based on synthetic solar irradiance time series of hourly resolution incorporating the randomness associated with PV generation. The network impacts are evaluated with Monte Carlo simulations with a model of an actual low voltage (LV) network The results are then compared with Automatic meter reading (AMR) measurements from the modeled network and production measurements from an actual PV system.","PeriodicalId":155801,"journal":{"name":"2014 Power Systems Computation Conference","volume":"43 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":"123436317","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}