This page has only limited features, please log in for full access.
Considering the increase in power system size and the number of PMUs, the utilization of a computationally efficient yet accurate static state estimator is crucial. The fast-decoupled WLS estimator (FD-WLS) is the most common method employed in industrial applications, thanks to its computational efficiency and ease of implementation. However, it is known that FD-WLS fails in the presence of an ill-conditioned power system, e.g., a power system with high R/X ratio and large difference between measurement error variances. This paper proposes a partitioning strategy for ill-conditioned power systems. The proposed method forms two types of sub-systems, such that one can apply FD-WLS in the type-1 sub-systems, and conventional formulation of WLS should be applied in the type-2 sub-systems. The utilization of the proposed method enables a computational performance comparable to that of FD-WLS and an accuracy comparable to that of the centralized solution.
Tuna Yildiz; Etki Acilan; Murat Gol. A partitioning strategy for improved state estimation performance in ill-conditioned power systems with hybrid measurement set. Electric Power Systems Research 2021, 201, 107515 .
AMA StyleTuna Yildiz, Etki Acilan, Murat Gol. A partitioning strategy for improved state estimation performance in ill-conditioned power systems with hybrid measurement set. Electric Power Systems Research. 2021; 201 ():107515.
Chicago/Turabian StyleTuna Yildiz; Etki Acilan; Murat Gol. 2021. "A partitioning strategy for improved state estimation performance in ill-conditioned power systems with hybrid measurement set." Electric Power Systems Research 201, no. : 107515.
Microgrids are composed of distributed energy resources (DERs), storage devices, electric vehicles, flexible loads and so on. They may either operate connected to the main electricity grid (on-grid operation) or separated from the grid (islanded operation). The outputs of the renewable energy sources may fluctuate and thus can cause deviations in the voltage magnitudes especially at islanded mode. This may affect the stability of the microgrids. This paper proposes an optimization model to efficiently manage controllable devices in microgrids aiming to minimize the voltage deviations both in on-grid and islanded operation modes. RSE Distributed Energy Resources Test Facility (DER-TF), which is a low voltage microgrid system in Italy, is used to verify the algorithm. The test system’s data is taken through an online software system (REDIS) and a harmony search based optimization algorithm is applied to control the device parameters. The experimental results show that the harmony search based optimization approach successfully finds the control parameters, and can help the system to obtain a better voltage profile.
Oğuzhan Ceylan; Mustafa Erdem Sezgin; Murat Göl; Maurizio Verga; Riccardo Lazzari; Marcel Pendieu Kwaye; Carlo Sandroni. Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids. Applied Sciences 2020, 10, 3252 .
AMA StyleOğuzhan Ceylan, Mustafa Erdem Sezgin, Murat Göl, Maurizio Verga, Riccardo Lazzari, Marcel Pendieu Kwaye, Carlo Sandroni. Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids. Applied Sciences. 2020; 10 (9):3252.
Chicago/Turabian StyleOğuzhan Ceylan; Mustafa Erdem Sezgin; Murat Göl; Maurizio Verga; Riccardo Lazzari; Marcel Pendieu Kwaye; Carlo Sandroni. 2020. "Harmony Search Algorithm Based Management of Distributed Energy Resources and Storage Systems in Microgrids." Applied Sciences 10, no. 9: 3252.
The objective of this study is to propose a dynamic generator maintenance scheduling (GMS) algorithm for long-term power sector forecasting and planning studies in which electricity price and the resulting supply composition are determined with merit-order dispatch. Compatible with the GMS algorithm, a reasonable strategy for the utilisation of storage hydropower plants along with clear definitions for each stage including must-run renewable electricity generation modelling, calculation of reserve capacity, derivation of scenarios for storage hydropower plants and problem formulation is presented. Generation from storage hydropower plants are modelled such as must-run and price-dependent parts, to better approximate reality. The proposed structure is tested with real data of the Turkish system, with a demand and capacity projection in the long term. The results are compared with the actual maintenance plan of the base year and the general profile is evaluated as satisfactory. The results show that the GMS plan and profile may significantly change based on hydro and renewable generation expectation, future capacity evolution, and storage hydropower plant utilisation. Therefore, the proposed GMS algorithm can be utilised especially in long-term price forecasting and supply modelling studies, instead of using a fixed factor to represent the maintenance effect on available generation capacity.
Engin Ilseven; Murat Göl. Incorporation of generator maintenance scheduling with long‐term power sector forecasting and planning studies. IET Generation, Transmission & Distribution 2020, 14, 2581 -2591.
AMA StyleEngin Ilseven, Murat Göl. Incorporation of generator maintenance scheduling with long‐term power sector forecasting and planning studies. IET Generation, Transmission & Distribution. 2020; 14 (13):2581-2591.
Chicago/Turabian StyleEngin Ilseven; Murat Göl. 2020. "Incorporation of generator maintenance scheduling with long‐term power sector forecasting and planning studies." IET Generation, Transmission & Distribution 14, no. 13: 2581-2591.
Rapid increase in the number of photo voltaic systems (PVSs) across the low voltage distribution systems required real-time monitoring of those systems. However, considering the necessary investment cost, real-time monitoring infrastructure installation does not seem to be achieved in the near future. Thus, alternative approaches to achieve this necessity is crucial. In this study, a method is proposed to nowcast the power generation of the behind-the-meter PVSs. The method relies on the strong correlation between the harmonic current injection of the PVS inverter and the power generation of the PVS. The Artificial Neural Network method (ANN) is utilized to model the relation between the predictors and the aggregated PVS output, i.e. generated power. Finally, the effectiveness of the approach is assessed with real field data.
Soheil Pouraltafi-Kheljan; Murat Göl. Power Generation Nowcasting of the Behind-the-Meter Photovoltaic Systems. 2020, 1 .
AMA StyleSoheil Pouraltafi-Kheljan, Murat Göl. Power Generation Nowcasting of the Behind-the-Meter Photovoltaic Systems. . 2020; ():1.
Chicago/Turabian StyleSoheil Pouraltafi-Kheljan; Murat Göl. 2020. "Power Generation Nowcasting of the Behind-the-Meter Photovoltaic Systems." , no. : 1.
In deregulated market environments, transmission system expansion planning becomes a troublesome task as transmission system operators lose their direct control over plant investments. Moreover, the increase in the share of renewable sources in electricity generation creates an uncertainty about future generation investments in terms of location and size. Assessment of transmission connection capacities, which determines the boundaries of new generation amount that can safely be connected from a region, is a mechanism that facilitates economic and reliable transmission expansion. In this study, use of two novel indices, namely region-based evaluation index (REI) and line-based evaluation index (LEI), is proposed for this purpose. REI aims to indicate the suitability of a region for new generation investments from a holistic point of view. Its calculation is based on the loadings of the lines under N − 1 conditions, and their overloading probabilities. LEI, on the other hand, is usable to assess each variation of the considered line's loading. By tracking LEI of a line, one can follow if a line's loading exceeds limits during contingencies, and observe if the loading benefits from additional generation. It allows identifying the weak points of the analysed system. The proposed methodology was demonstrated on projected Turkish Transmission Network model of 2026.
Ali Haydar Güverçinci; Murat Göl. Assessment of regional transmission connection capacity based on two novel indices. IET Generation, Transmission & Distribution 2018, 12, 3470 -3476.
AMA StyleAli Haydar Güverçinci, Murat Göl. Assessment of regional transmission connection capacity based on two novel indices. IET Generation, Transmission & Distribution. 2018; 12 (14):3470-3476.
Chicago/Turabian StyleAli Haydar Güverçinci; Murat Göl. 2018. "Assessment of regional transmission connection capacity based on two novel indices." IET Generation, Transmission & Distribution 12, no. 14: 3470-3476.
Erhan Sezgin; Murat Gol; Özgül Salor. Determination of harmonic current contributions based on robust state estimation. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 2018, 26, 307 -317.
AMA StyleErhan Sezgin, Murat Gol, Özgül Salor. Determination of harmonic current contributions based on robust state estimation. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 2018; 26 ():307-317.
Chicago/Turabian StyleErhan Sezgin; Murat Gol; Özgül Salor. 2018. "Determination of harmonic current contributions based on robust state estimation." TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 26, no. : 307-317.
This work proposes an electricity price forecasting model of Turkish Electricity Market for medium-term studies by means of supply and demand dynamics formed via a theoretical approach. The electricity market model created within this scope consists of three main components such as electricity demand forecasting model, electricity supply forecasting model and electricity price forecasting model along with hydro optimization sub-model. The yearly averages of hourly electricity price outputs are utilized as medium-term electricity price forecasts. The paper aims to determine the range of possible electricity prices rather than a single price forecast by creating scenarios based on the uncertainties in main variables affecting the electricity prices. Therefore, the model can identify how effective a variable of the market on the electricity price is. The developed method is validated via real data.
Engin Ilseven; Murat Gol. Hydro-Optimization-Based Medium-Term Price Forecasting Considering Demand and Supply Uncertainty. IEEE Transactions on Power Systems 2017, 33, 4074 -4083.
AMA StyleEngin Ilseven, Murat Gol. Hydro-Optimization-Based Medium-Term Price Forecasting Considering Demand and Supply Uncertainty. IEEE Transactions on Power Systems. 2017; 33 (4):4074-4083.
Chicago/Turabian StyleEngin Ilseven; Murat Gol. 2017. "Hydro-Optimization-Based Medium-Term Price Forecasting Considering Demand and Supply Uncertainty." IEEE Transactions on Power Systems 33, no. 4: 4074-4083.
The paper proposes use of multivariate adaptive regression splines (MARS) method to perform monthly electricity demand forecasting for medium-term. The model is developed based on specific example of Turkey; however is applicable to any other system. Performance of the proposed method is compared to that of multiple linear regression (MLR), generalized additive model (GAM), and artificial neural networks (ANN) methods. The validation process shows that the proposed model outperforms the other ones by test error and shows stable error performance.
Engin Ilseven; Murat Gol. Medium-term electricity demand forecasting based on MARS. 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) 2017, 1 -6.
AMA StyleEngin Ilseven, Murat Gol. Medium-term electricity demand forecasting based on MARS. 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). 2017; ():1-6.
Chicago/Turabian StyleEngin Ilseven; Murat Gol. 2017. "Medium-term electricity demand forecasting based on MARS." 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) , no. : 1-6.
Hybrid state estimation determines the states of systems monitored both by conventional SCADA measurements and PMUs. This paper proposes a decentralization method in order to improve the computational performance of hybrid state estimators with minimum loss of accuracy. The proposed method utilizes sensitivity matrix that relates measurement errors to state estimates in order to form the so-called isolated bus groups and observable sub-islands. Although the proposed decentralization method can be applied to any state estimator, the paper is developed using Least Absolute Value (LAV) estimator for demonstration purposes, which is known to be robust against bad data. The high computational burden of LAV estimator compared to the well-known Weighted Least Squares (WLS) estimator is eliminated thanks to the proposed decentralization method.
Murat Gol. A Decentralization Method for Hybrid State Estimators. IEEE Transactions on Power Systems 2017, 33, 2070 -2077.
AMA StyleMurat Gol. A Decentralization Method for Hybrid State Estimators. IEEE Transactions on Power Systems. 2017; 33 (2):2070-2077.
Chicago/Turabian StyleMurat Gol. 2017. "A Decentralization Method for Hybrid State Estimators." IEEE Transactions on Power Systems 33, no. 2: 2070-2077.
Considering the increasing number of electrified traction systems and changing technological advances in power electronics industry, it is required to successfully model electrified train systems. In this paper a DC catenary voltage model is proposed for a multi substation subway system. The proposed method is capable of simulating dynamic behavior of the train during different modes of operation. In this study, firstly, the electrical parameters of the system will be found to form distributed parameter model. In order to simplify analytic calculations, an approximate yet accurate solution method is proposed. Secondly, relations modeling voltage variation are linearized for improved computational performance. Finally, developed model is extended to multi substation case. Developed model is verified using real field data.
Mustafa Erdem Sezgin; Murat Gol. Voltage variation model for DC catenary line of a subway system. 2017 IEEE Manchester PowerTech 2017, 1 -6.
AMA StyleMustafa Erdem Sezgin, Murat Gol. Voltage variation model for DC catenary line of a subway system. 2017 IEEE Manchester PowerTech. 2017; ():1-6.
Chicago/Turabian StyleMustafa Erdem Sezgin; Murat Gol. 2017. "Voltage variation model for DC catenary line of a subway system." 2017 IEEE Manchester PowerTech , no. : 1-6.
In this paper, a novel method has been presented for the bad data identification of the data recovery process from a solar power measurement data set. Due to failures in solar power measurement logging devices, a long period of solar power generation data might necessary to be recovered. In order to ensure that the recovered data is the correct one, the daily solar generation curve has to be investigated. Due to the high data amount, this control process has to be done automatically. It is observed that the daily solar generation curve is much similar to cosine wave. In this study, the recovered data is compared to reference cosine wave and it is aimed to identify the suspicious data group. In this context, this work is based on the normalized residuals test.
Deniz Sengul; Erencan Duymaz; Murat Gol. Identification of bad solar power generation data. 2017 25th Signal Processing and Communications Applications Conference (SIU) 2017, 1 -4.
AMA StyleDeniz Sengul, Erencan Duymaz, Murat Gol. Identification of bad solar power generation data. 2017 25th Signal Processing and Communications Applications Conference (SIU). 2017; ():1-4.
Chicago/Turabian StyleDeniz Sengul; Erencan Duymaz; Murat Gol. 2017. "Identification of bad solar power generation data." 2017 25th Signal Processing and Communications Applications Conference (SIU) , no. : 1-4.
Because of the governmental incentives, the distributed photovoltaic systems are populating rapidly in Turkish Electric System. This work aims to evaluate the effects of those plants to the electrical system in terms of voltage quality by focusing on the specific example of the solar plant being built under the National Solar Power Plant Development Project (Milli Günes Enerjisi Santrali Gelistirilmesi Projesi, MILGES). In order to be able to evaluate the effects of the PV system under the most challenging situations in terms of power quality, it is assumed that the solar plant is connected to a substation that also supplies an iron and steel plant with an electric arc furnace (EAF). The EAF system is modeled based on the collected real field data, while PV system parameters are obtained from the project documents.
Deniz Sengul; Murat Gol. Evaluation of the effects of photovoltaic systems on voltage quality. 2016 North American Power Symposium (NAPS) 2016, 1 -5.
AMA StyleDeniz Sengul, Murat Gol. Evaluation of the effects of photovoltaic systems on voltage quality. 2016 North American Power Symposium (NAPS). 2016; ():1-5.
Chicago/Turabian StyleDeniz Sengul; Murat Gol. 2016. "Evaluation of the effects of photovoltaic systems on voltage quality." 2016 North American Power Symposium (NAPS) , no. : 1-5.
This paper proposes an optimal Phasor Measurement Unit (PMU) placement method based on a modified version of the well-known binary integer linear programming formulation, which will utilize the installed PMUs and conventional measurements, i.e. active and reactive power flow and power injection measurements, to reduce the number of PMUs to be placed required for system observability. The proposed method applies conventional observability analysis to evaluate the system of concern and to reduce the size of the PMU placement problem. The analysis is followed by the proposed modified optimal PMU placement method. Although the method is applicable to PMUs with any number of channels, the paper employs branch PMUs, i.e. PMUs with single voltage phasor and single current phasor channels, since this is the most common PMU type in industry. The method is illustrated by a tutorial example and validated on IEEE 14-bus and 30-bus test systems.
Bulut Erturk; Murat Gol. Binary integer programming based PMU placement in the presence of conventional measurements. 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) 2016, 1 -6.
AMA StyleBulut Erturk, Murat Gol. Binary integer programming based PMU placement in the presence of conventional measurements. 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). 2016; ():1-6.
Chicago/Turabian StyleBulut Erturk; Murat Gol. 2016. "Binary integer programming based PMU placement in the presence of conventional measurements." 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) , no. : 1-6.
Accurate location of a fault on a line is extremely important to restore the line in the shortest time possible, which directly affects the operational cost and system reliability. This paper presents an accurate and computationally fast strategy for fault location based on well-known state estimation method. The proposed method employs PMU measurements recorded during the fault (before the circuit breakers open). Those measurements are used for determination of the fault currents flowing on the faulted line and locating the fault using Weighted Least Squares (WLS) estimator. The proposed method reduces the required number of measurements for the solution of the fault location problem by making use of the fast refresh rates of the PMUs. This work also presents comments on the selection of the initial values of the iterative fault location estimation problem. Simulation results are presented to validate the proposed method.
Ahmet Oner; Murat Gol. Fault location based on state estimation in PMU observable systems. 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) 2016, 1 -5.
AMA StyleAhmet Oner, Murat Gol. Fault location based on state estimation in PMU observable systems. 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT). 2016; ():1-5.
Chicago/Turabian StyleAhmet Oner; Murat Gol. 2016. "Fault location based on state estimation in PMU observable systems." 2016 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT) , no. : 1-5.
In this paper, a state-estimation-based method is proposed to determine harmonic current contributions of iron and steel (I&S) plants supplied from a point of common coupling (PCC). Due to highly nonlinear nature of the I&S plant operation, accurate estimation of harmonic contributions of the individual plants is essential. In the proposed method, the nonlinear characteristics of the plants and the utility are modeled as harmonic current sources and the harmonic current contributions of loads are decoupled from the upstream effects on the basis of the sample-by-sample time-synchronized field measurements of load currents and voltage signals. Being a field-measurement-based method, it is necessary to mitigate the measurement errors of conventional voltage transformers (CVTs) at harmonic frequencies. Gross error of voltage transformers is reduced through calibration, while weighted least squares (WLS) state estimation is used to reduce the Gaussian error of the current transformer and calibrated voltage transformer measurements. Using the estimated harmonic voltages and currents, harmonic contributions of all plants are determined by employing the Norton equivalent circuits of the plants together with the superposition theorem. The results have shown that the proposed method can be used as a successful estimation tool to determine the harmonic current contributions of all I&S plants supplied from the PCC. The proposed method eliminates the need for the usage of resistive-capacitive voltage transformers (RCVTs) for accurate harmonic voltage measurements, which are expensive and cumbersome, while reducing the Gaussian measurement error of conventional voltage and current transformers at the same time; hence, it provides accurate harmonic contributions of the electric arc furnace (EAF) plants.
Erhan Sezgin; Murat Gol; Ozgul Salor. State-Estimation-Based Determination of Harmonic Current Contributions of Iron and Steel Plants Supplied from PCC. IEEE Transactions on Industry Applications 2016, 52, 2654 -2663.
AMA StyleErhan Sezgin, Murat Gol, Ozgul Salor. State-Estimation-Based Determination of Harmonic Current Contributions of Iron and Steel Plants Supplied from PCC. IEEE Transactions on Industry Applications. 2016; 52 (3):2654-2663.
Chicago/Turabian StyleErhan Sezgin; Murat Gol; Ozgul Salor. 2016. "State-Estimation-Based Determination of Harmonic Current Contributions of Iron and Steel Plants Supplied from PCC." IEEE Transactions on Industry Applications 52, no. 3: 2654-2663.
In this paper, a state estimation based method is proposed to determine harmonic current contributions of iron and steel (I&S) plants supplied from a Point of Common Coupling (PCC). Due to highly nonlinear nature of the iron and steel plant operation, accurate estimation of the harmonic contributions of the individual plants is essential. In the proposed method, the nonlinear characteristics of the plants and the utility are modeled as harmonic current sources and the harmonic current contributions of loads are decoupled from the upstream effects on the basis of the sample-by-sample time-synchronized field measurements of load currents and voltage signals. Being a field-measurement-based method, it is necessary to mitigate the measurement errors of conventional voltage transformers at harmonic frequencies. Gross error of voltage transformers is reduced through calibration, while weighted least squares state estimation is used to reduce the Gaussian error of the current transformer and calibrated voltage transformer measurements. Using the estimated harmonic voltages and currents, harmonic contributions of all plants are determined by employing the Norton equivalent circuits of the plants together with the superposition theorem. The results have shown that the proposed method can be used as a successful estimation tool to determine the harmonic current contributions of all I&S plants supplied from the PCC. The proposed method eliminates the need for the usage of resistive-capacitive voltage transformers for accurate harmonic voltage measurements, which are expensive and cumbersome, while reducing the Gaussian measurement error of conventional voltage and current transformers at the same time, hence it provides accurate harmonic contributions of the EAF plants.
Erhan Sezgin; Murat Gol; Özgül Salor. State estimation based determination of harmonic current contributions of iron and steel plants supplied from PCC. 2015 IEEE Industry Applications Society Annual Meeting 2015, 1 -10.
AMA StyleErhan Sezgin, Murat Gol, Özgül Salor. State estimation based determination of harmonic current contributions of iron and steel plants supplied from PCC. 2015 IEEE Industry Applications Society Annual Meeting. 2015; ():1-10.
Chicago/Turabian StyleErhan Sezgin; Murat Gol; Özgül Salor. 2015. "State estimation based determination of harmonic current contributions of iron and steel plants supplied from PCC." 2015 IEEE Industry Applications Society Annual Meeting , no. : 1-10.
In a power system, it is known that parameters may carry small errors due to the weather conditions, such as temperature and humidity changes, as well as gross errors due to the miscommunication between the control center and circuit breakers and tap changers. Those incorrect parameters may cause biased state estimates, which may have serious results. Therefore, those parameter errors should be identified and corrected. Considering the increasing number of Phasor Measurement Units (PMUs), in this paper it is proposed to use PMU measurements in local parameter estimation. The developed parameter estimation will employ the robust Least Absolute Value (LAV) estimator to obtain unbiased estimates even in the presence of bad measurements.
Volkan Ozdemir; Murat Gol. A robust parameter estimation method based on LAV estimator. 2015 Modern Electric Power Systems (MEPS) 2015, 1 -5.
AMA StyleVolkan Ozdemir, Murat Gol. A robust parameter estimation method based on LAV estimator. 2015 Modern Electric Power Systems (MEPS). 2015; ():1-5.
Chicago/Turabian StyleVolkan Ozdemir; Murat Gol. 2015. "A robust parameter estimation method based on LAV estimator." 2015 Modern Electric Power Systems (MEPS) , no. : 1-5.
Current state estimators employ the Weighted Least Squares (WLS) estimator to solve the state estimation problem. Once the state estimates are obtained, Chi-Square test is commonly used to detect the presence of bad data in the measurement sets. Regretfully, this test is not entirely reliable, that is, bad data existing in the measurement set could be missed for certain cases. One reason for this is the approximations used to compute the bad data suspicion threshold, which is set based on an assumed chi-squares distribution for the objective function. In this paper, a modified metric is proposed in order to improve the bad data detection accuracy of the commonly used chi-square test. The bad data detection performance of the proposed test is compared with that of conventional chi-square test.
Murat Gol; Ali Abur. A modified Chi-Squares test for improved bad data detection. 2015 IEEE Eindhoven PowerTech 2015, 1 -5.
AMA StyleMurat Gol, Ali Abur. A modified Chi-Squares test for improved bad data detection. 2015 IEEE Eindhoven PowerTech. 2015; ():1-5.
Chicago/Turabian StyleMurat Gol; Ali Abur. 2015. "A modified Chi-Squares test for improved bad data detection." 2015 IEEE Eindhoven PowerTech , no. : 1-5.
In this paper, a state estimation based method is proposed to determine harmonic current contributions of plants supplied from a Point of Common Coupling (PCC). By using Weighted Least Squares (WLS) state estimation, it is aimed to improve harmonic voltage measurements acquired from conventional voltage transformers, which are employed commonly in the power systems. Using measured harmonic currents and estimated harmonic voltages, harmonic contributions of all plants have been determined by employing the Norton equivalent circuits of the plants and the superposition theorem. Absence of reliable harmonic voltage measurements necessitates employing harmonic filter current measured from at least one of the plants. Using the new measurement set built after the estimation process, a model to determine the harmonic current contribution of plants supplied from a PCC has been developed.
Erhan Sezgin; Murat Gol; Özgül Salor. Determination of harmonic current contributions of plants supplied from PCC based on state estimation. 2015 23nd Signal Processing and Communications Applications Conference (SIU) 2015, 2062 -2065.
AMA StyleErhan Sezgin, Murat Gol, Özgül Salor. Determination of harmonic current contributions of plants supplied from PCC based on state estimation. 2015 23nd Signal Processing and Communications Applications Conference (SIU). 2015; ():2062-2065.
Chicago/Turabian StyleErhan Sezgin; Murat Gol; Özgül Salor. 2015. "Determination of harmonic current contributions of plants supplied from PCC based on state estimation." 2015 23nd Signal Processing and Communications Applications Conference (SIU) , no. : 2062-2065.
Given the rapid increase in the number of phasor measurement units (PMU) installed in substations in recent years, it is not unrealistic to assume that most transmission systems will be fully observable by only PMU measurements in the not so distant future. Such a scenario will enable faster and numerically easier state estimation solution which will be non-iterative due to the linearity of the PMU measurement equations. However, as will be shown in this paper, the benefits do not end there and a closer look at these equations reveals further possibilities of simplification and therefore improved performance of state estimators that use only PMU measurements. Specifically, the paper formulates an alternative decoupled solution, which reduces the size of the state estimation problem, increases computational performance yet maintains high solution accuracy. Both state estimation as well as bad data processing can be efficiently carried out within the developed decoupled formulation.
Murat Gol; Ali Abur. A Fast Decoupled State Estimator for Systems Measured by PMUs. IEEE Transactions on Power Systems 2014, 30, 2766 -2771.
AMA StyleMurat Gol, Ali Abur. A Fast Decoupled State Estimator for Systems Measured by PMUs. IEEE Transactions on Power Systems. 2014; 30 (5):2766-2771.
Chicago/Turabian StyleMurat Gol; Ali Abur. 2014. "A Fast Decoupled State Estimator for Systems Measured by PMUs." IEEE Transactions on Power Systems 30, no. 5: 2766-2771.