{"title":"Identifying a practical state estimation scheme incorporating substation measurement dependencies","authors":"Benjamin P. Wiseman, O. Bassey","doi":"10.1109/TPEC.2017.7868278","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868278","url":null,"abstract":"This paper evaluates existing methods to improve state estimation by incorporating substation measurement dependencies. Three main approaches are considered: a traditional weighted least squares scheme, an iterative algorithm using a 2-point estimate to approximate the covariance matrix, and a variant of the algorithm taking just the diagonal of the estimated covariance matrix. These schemes are tested under uniform conditions for systems ranging from 3 to 30 busses, and the results are analyzed to gain intuition about each method. Finally, this intuition is used to recommend a practical weighted least squares state estimation scheme which could potentially be used to improve online state estimation.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134427241","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}
V. Seshadri Sravan Kumar, G. Manoj Kumar, A. Santosh Kumar, D. Thukaram
{"title":"Phasor estimation at off-nominal frequencies using frequency domain interpolation","authors":"V. Seshadri Sravan Kumar, G. Manoj Kumar, A. Santosh Kumar, D. Thukaram","doi":"10.1109/TPEC.2017.7868282","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868282","url":null,"abstract":"Accurate estimation of phasor is essential for wide area monitoring and control of power systems. The accuracy requirements of phasor estimation for various class of applications are outlined by the IEEE Std. C37.118. This paper presents a frequency domain interpolation approach for phasor estimation at off-nominal frequencies. The proposed approach involves quadratic interpolation of complex DFT coefficients corresponding to fundamental and two side bin's namely the DC and second harmonic components. The advantage of the proposed approach is that an explicit knowledge of frequency is not essential. The performance of the proposed approach is analyzed using standard test signals and simulated voltage/current signals of practical equivalent systems.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114825126","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":"Busbar protection using a wavelet based ANN","authors":"Ahmad Abdullah","doi":"10.1109/TPEC.2017.7868268","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868268","url":null,"abstract":"This paper presents a new application of wavelet based artificial neural networks to the field of high voltage busbar protection. Any transient event type-whether fault or not-causes high frequency components to be generated and imposed on the fundamental frequency current. Those components propagate from the line causing them passing through the protected bus bar to the other lines connected to the same bus. In this paper, it is shown that those components captured at any line connected to the bus can be used not only to detect internal and external bus faults but also to identify the faulted line in case of external faults. A scheme will be presented that uses the current from any of the lines connected to the bus to detect internal and external bus faults, classify transients on adjacent lines and identify the line that is causing the transient disturbance. Modal transformation is used to transform phase quantities to modal quantities. Discrete Wavelet Transform (DWT) is used to extract high frequency components of the two aerial modes of the current measured. A feature vector consisting of level 3 details coefficients of the two aerial mode currents is used to train a feedforward neural network with one hidden layer. Results show that very accurate classification can be made using one eighth of a cycle of post event data.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115775974","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":"Detection of bad data in multi-area state estimation","authors":"Yuqi Zhou, Le Xie","doi":"10.1109/TPEC.2017.7868276","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868276","url":null,"abstract":"This paper proposed an algorithm to quickly detect whether a sub-area contains bad data in multi-area state estimation. Each area in the multi-area state estimation will compute a sensitivity index that is based on the weight of local measurement residual and the overall change of measurement residual. The area with the highest index is candidate for locating bad data. This algorithm is also extendable to detect false data injection in a control area while traditional Chi-squared test may be rendered less effective. The proposed algorithm can help Central Control Center to locate the bad data in a multi-area system and can also prevent the system from potential false data injection attacks. Numerical studies based on the IEEE 14-bus system suggest the validity and efficacy of the proposed algorithm.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124839936","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":"Control algorithm for port power imbalance in two-stage, N-port modular multilevel cascaded photovoltaic inverters","authors":"S. Marti, H. Krishnaswami","doi":"10.1109/TPEC.2017.7868277","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868277","url":null,"abstract":"With the increasing demand for PV technology, low cost, highly efficient, modular PV inverter system has become a pertinent issue. As a solution, modular two-stage power conversion with isolation and string-level power conversion has become an attractive choice recently. However, the complexity of the control algorithm in addressing power imbalance between modular power conversion units becomes a disadvantage to these type of configurations. This paper proposes a new control scheme for the two stage, N-port, string-connected modular multilevel cascaded inverters. Control algorithm ensures the maximum extraction of solar power along with the per port power balancing of the PV systems. Simulation of N-port multilevel dual active bridge stage along with the cascaded H-bridge stage for one phase is presented to verify the feasibility of the proposed algorithm.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132896097","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":"Microgrid cost optimization for a mixed-use building","authors":"Ibrahim Aldaouab, M. Daniels, K. Hallinan","doi":"10.1109/TPEC.2017.7868271","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868271","url":null,"abstract":"Nationally, there has been significant movement to mixed-use buildings. This work investigates the effect of a mixed commercial and residential building load on the optimal sizing of a renewable energy resource (RER) microgrid. The RER system consists of solar panels, wind turbines, battery storage, and a backup diesel generator, and it is isolated from conventional grid power. The building contains a single restaurant and 12 residential apartments. Historical meter readings and commercial-kitchen modeling represent the apartments and restaurant, respectively. TMY3 data determines hourly RER power, and a dispatching algorithm predicts power flows between system elements. A genetic algorithm approach minimizes total annual cost over the number of solar panels and micro-turbines, battery capacity, and diesel generator size, with a constraint on the renewable penetration. Results indicate that load-mixing serves to reduce cost, and the reduction is largest if the diesel backup is removed from the system.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127352409","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 robust techno-economic analysis of PMU-based islanding detection schemes","authors":"R. Biswas, A. Pal","doi":"10.1109/TPEC.2017.7868290","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868290","url":null,"abstract":"Traditional islanding detection schemes have mainly relied on voltage angle measurements obtained from PMUs for determining island formation. However, when placed in a network, PMUs measure both voltages and currents. In this paper, we test the hypothesis that better results can be obtained if other quantities measured by a PMU are also considered for islanding detection. Prior research considered device minimization as the primary objective for placing PMUs. An alternate formulation of the PMU placement problem that minimized total synchrophasor deployment cost has also been proposed recently. The second hypothesis that we test is if accuracies similar to what was observed with the device minimization objective are attained with the alternate formulation. Our results indicate that from a techno-economic perspective, better performance is realized if all the information provided by PMUs is used for decision making with the PMU locations computed using the alternate formulation.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127000761","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":"Fuzzy logic controlled power balancing for low voltage ride-through capability enhancement of large-scale grid-connected PV plants","authors":"Md. Kamal Hossain, M. Ali","doi":"10.1109/TPEC.2017.7868274","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868274","url":null,"abstract":"This paper proposes an advanced control methodology to enhance the low-voltage ride-through (LVRT) capability of a large-scale two-stage grid-connected photovoltaic (PV) plants. The inverter of the three-phase grid-connected PV system should insert the reactive power according to the LVRT regulations without exceeding the maximum current rating during the grid fault. Both active and reactive power control schemes are incorporated according to the recent grid code. Since a PV system is nonlinear in nature, a fuzzy logic controller (FLC) has been implemented for the active power insertion considering the severity of grid voltage dip. The effectiveness of the proposed methodology in improving the LVRT of the grid-connected PV system is verified by applying both balanced and unbalanced faults in the network. The proposed method is able to protect the DC-link overvoltage, and is capable of suppressing the transient overcurrent and inserting the reactive current. Also, the proposed method is better than the conventional control strategy during the event of grid fault without incurring the extra device.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134345672","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":"Convergence characteristics of the variable projection method for mode extraction","authors":"A. Birchfield, T. Overbye","doi":"10.1109/TPEC.2017.7868265","DOIUrl":"https://doi.org/10.1109/TPEC.2017.7868265","url":null,"abstract":"This paper reviews the variable projection method (VPM) for power system modal analysis and analyzes the method's convergence characteristics. The purpose of the VPM and other modal analysis tools is to decompose time series data into damped or undamped sinusoidal components, which provide insights into the dynamics of a measured or simulated disturbance. The paper gives five example cases of modal analysis with VPM, varying in size from a single synthetic signal to a 30-signal, 7-mode data set from simulations of a large actual power system. The analysis provides an initial indication that the VPM often finds a solution close to the matrix pencil initialization, and that the method's convergence speed can vary. While the inner loop of the method, the line search, is robust and quick, the outer VPM loop sometimes converges linearly or slower, requiring hundreds of iterations. Simpler cases with fewer modes tend to have a more consistent convergence, and are less sensitive to the initial modes selected.","PeriodicalId":391980,"journal":{"name":"2017 IEEE Texas Power and Energy Conference (TPEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132974273","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}