Ankush Sharma

Bio: Ankush Sharma is an academic researcher from Indian Institute of Technology Kanpur. The author has contributed to research in topics: Phasor & Kalman filter. The author has an hindex of 11, co-authored 38 publications receiving 308 citations. Previous affiliations of Ankush Sharma include Panjab University, Chandigarh & Indian Institutes of Technology.

A Cubature Kalman Filter Based Power System Dynamic State Estimator

Abstract: This paper proposes an application of the cubature Kalman filter (CKF) to the power system dynamic state estimation (PSDSE) utilizing the measurements from the remote terminal units as well as the phasor measurement units. The CKF process utilizes the spherical cubature and Gaussian quadrature rules to estimate the probability density functions of the state space and the measurement space. This helps in linearization of the nonlinear measurement function without loss of accuracy. The CKF does not require formation of the Jacobian and Hessian matrices to execute the PSDSE, which saves the execution time. A state forecasting technique is utilized to forecast the states during the interval between two time instants of receiving the measurement sets from the field. This helps in estimating the states of the power system during the period when the field measurements are not available. The effectiveness of the application of the CKF to the PSDSE has been demonstrated on IEEE 30 bus system and 246 bus Northern Regional Power Grid Indian system.

Testing and Validation of Power System Dynamic State Estimators Using Real Time Digital Simulator (RTDS)

Abstract: This paper presents an approach to test and validate a number of power system dynamic state estimation (PSDSE) algorithms, utilizing Real Time Digital Simulator (RTDS), a real-time simulation tool. WSCC 9-bus and IEEE 30-bus systems have been utilized to demonstrate the proposed approach. The test systems are developed on the RSCAD software of the RTDS. The conventional remote terminal unit (RTU) measurements and the phasor measurement unit (PMU) measurements are sent from the RTDS runtime environment to the MATLAB based PSDSE application at regular intervals for the estimation of the states, using software-in-the-loop (SIL) configuration. The PSDSE is solved by utilizing the extended Kalman filter (EKF), the unscented Kalman filter (UKF), and the cubature Kalman filter (CKF) approaches, and their relative performances are studied with the help of the simulation results on the two test systems.

Parameter Estimation of Distribution Lines Using SCADA Measurements

Abstract: This article proposes a parameter estimation scheme for three-phase untransposed distribution lines. The estimation process is carried out using voltage magnitude (rms) and power-flow measurements from both ends of the line. The parameter estimation is carried out by considering the influence of measurement and instrument transformer uncertainties. A novel effective variance-based reweighted nonlinear least-squares scheme is proposed. Moreover, for estimation of untransposed line parameters under balanced loading conditions, the present work proposes a parameter estimation scheme using a reduced order model of the untransposed line. The accuracy and stability of the estimator are verified for the IEEE-13 bus test system. The algorithm is also tested with time-tagged remote terminal unit (RTU) measurements from a real distribution feeder.

Power System Tracking State Estimator for Smart Grid Under Unreliable PMU Data Communication Network

Abstract: This paper presents a power system tracking state estimation (PSTSE) using cubature Kalman filter (CKF). The proposed approach utilizes synchronized phasor measurements from the phasor measurement units (PMUs) for the execution of the PSTSE. A state forecasting technique has been utilized to forecast the states for the period when PMU measurements are missing due to temporary failure of communication link or data packet loss. This helps in estimating the states of the power system during the period when the field measurements from PMU are not available. The effectiveness of the application of the CKF to the PSTSE has been demonstrated using two test systems.

A Multi-Agent-Based Power System Hybrid Dynamic State Estimator

Abstract: This article proposes a multi-agent-based power system hybrid dynamic state estimator (PSHDSE) that uses field measurements from remote terminal units (RTUs) as well as phasor measurement units (PMUs). The standard cubature Kalman filter (CKF) process is modified to make it suitable for PSHDSE execution, and software agents are utilized to receive data and run PSHDSE for the RTU and PMU measurements separately. PSHDSE is solved by utilizing the CKF, the extended Kalman filter (EKF), and the unscented Kalman filter (UKF). The relative performances of the EKF, UKF, and CKF in executing PSHDSE are established through simulations on the IEEE 30 bus and practical 246-bus Indian test systems.

The European commission

Abstract: 2 1 The innovative transport systems and the CityMobil project 10 1.1 The research questions 10 2 The state of art in the field of automatic transport systems 12 2.1 Case studies and demand studies for innovative transport systems 12 3 The design and implementation of surveys 14 3.1 Definition of experimental design 14 3.2 Questionnaire design and delivery 16 3.3 First analyses on the collected sample 18 4 Calibration of Logit Multionomial demand models 21 4.1 Methodology 21 4.2 Calibration of the “full” model. 22 4.3 Calibration of the “final” model 24 4.4 The demand analysis through the final Multinomial Logit model 25 5 The analysis of interaction between the demand and socioeconomic attributes 31 5.1 Methodology 31 5.2 Application of Mixed Logit models to the demand 31 5.3 Analysis of the interactions between demand and socioeconomic attributes through Mixed Logit models 32 5.4 Mixed Logit model and interaction between age and the demand for the CTS 38 5.5 Demand analysis with Mixed Logit model 39 6 Final analyses and conclusions 45 6.1 Comparison between the results of the analyses 45 6.2 Conclusions 48 6.3 Answers to the research questions and future developments 52

Rays of light from the LHC

Abstract: We consider models for the di-photon resonance observed at ATLAS (with 3.6 fb-1) and CMS (with 2.6 fb-1). We find there is no conflict between the signal reported at 13 TeV and the constraints from both experiments at 8 TeV with 20.3 fb-1. We make a simple argument for why the decay to the γγ mode must be generated by additional, beyond the standard model (SM) states. We explore four viable options: (i) resonance production and decay through loops of messenger fermions or scalars, (ii) a resonant messenger which decays to the di-photon resonance+X, (iii) an edge configuration where A→Bγ→Cγγ, and (iv) Hidden Valley-like models where the resonance decays to a pair of very light (sub-GeV) states, each of which in turn decays to a pair of collimated photons that cannot be distinguished from a single photon. Since in each case multiple new states have been introduced, a wealth of signatures is expected to ensue at run 2 of the LHC.