(1990). ENERGY FUNCTION ANALYSIS FOR POWER SYSTEM STABILITY. Electric Machines & Power Systems: Vol. 18, No. 2, pp. 209-210.

Energy function analysis for power system stability

With the rapid advancement of phasor measurement units (PMUs) technology, system operators in different level of power systems have access to new and abundant measurements. Taking into account these measurements in active distribution systems (ADNs), a new algorithm for short-circuit fault detection and identification based on state estimation (SE) is introduced in this paper. In this regard, as the first step, traditional SE process is revised to be compatible with fault conditions. Then, a fault location algorithm (FLA) based on the revised SE (RDSSE) is presented which attends to detect the location of fault after diagnosing faulted zone. For this purpose, current and voltage synchrophasors captured by PMUs as well as pre-fault SE results are used and according to calculated measurement residual indexes, the correct location of fault is diagnosed. The performance of RDSSE and SE based fault location method are tested by applying on an ADN, considering different fault scenarios in the network. The results proved that the proposed method is more accurate and reliable than traditional SE based methods in fault conditions and can precisely determine the real location of fault at lower SE execution times.

Detecting the Location of Short-Circuit Faults in Active Distribution Network Using PMU-Based State Estimation

Enhanced differential evolution algorithm for coordination of directional overcurrent relays

A Survey of Fault Prediction and Location Methods in Electrical Energy Distribution Networks

Transmission lines are one of the most widely distributed engineering systems meant for transmitting bulk amount of power from one corner of a country to the farthest most in the other directions. The expansion of the lines over different terrains and geographic locations makes these most vulnerable to different kinds of atmospheric calamities which more often develops faults in line. It is imperative to remove the faulty line at the earliest to restrict undue outflow of bulk power through the faulted point as well as restore system stability earliest to resume normal power flow operation. Here lays the importance of having a robust fault identification, classification and localization algorithm which would be successfully able to drive as well as actuate the digital relaying system. Researchers have worked out several methodologies in developing improved power system protection algorithms which would be able to serve to eliminate faults immediately on occurrence of the same. A brief yet exhaustive review has been presented in this article including the several methodologies adopted by numerous researchers for developing effective fault diagnosis schemes, mentioning about the highlights as well as the shortcoming of each of the methods. This compact and effective survey of literature works would help researchers to take up appropriate techniques for different purposes of transmission line fault analysis.

Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods

This paper presents an algorithm for detection and location of faults in large transmission network using the minimum number of phasor measurement units (PMUs). The transfer impedance between the fault point and the respective PMU buses, may be far away from the fault point, are used to define a non-linear set of voltage and current equations, which is then transformed into linear least square estimation problem where fault location is the unknown quantity. The algorithm starts by reducing the search area using a faulted bus identification index so as to speed-up the search process. Then considering all the transmission lines within the search area, a fault location identification index together with the fault location algorithm is used to identify the faulted line along with fault location. A PMU placement scheme, to find the minimum number of PMUs and their location, required for the proposed algorithm is also presented here. The proposed algorithm is tested and validated on the IEEE 14, 30, 39, and 118-bus systems for various fault conditions. Comparative results confirm that the number of PMUs obtained by the proposed placement scheme is minimum and sufficient for detection and location of faults irrespective of fault resistance and fault type.

https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2017.1067

Detection and location of faults in large transmission networks using minimum number of phasor measurement units

Purpose – Directional Overcurrent Relay (DOCR) coordination computation allowing for desired and high-level accuracy in interconnected power systems is very difficult and is a highly constraint-oriented optimization problem. The purpose of this paper is to study the effectiveness of a newly reported optimization technique, Teaching Learning Based Optimization (TLBO), in protective relay coordination comparing with a widely used optimization technique, Particle Swarm Optimization (PSO). Design/methodology/approach – DOCR coordination in electric power systems is considered as an optimization problem by formulating objective function and specifying problem constraints. Optimum values of the DOCR adjustment parameters (time dial setting and plug setting) in terms of reliable coordination margin and operating times of relays are computed by both the algorithms, TLBO and PSO. Optimal coordination is verified in three test bus systems: IEEE 6-bus, Western System Coordinating Council 9-bus and IEEE 14-bus system...

A comparative study on the computation of directional overcurrent relay coordination in power systems using PSO and TLBO based optimization

Dual use line relays to improve power swing deblocking function

PMU‐based power system component monitoring scheme satisfying complete observability with multicriteria decision support

In this paper, a technique for identification of faulty line in a power system is proposed using phasor measurement units (PMUs). The identification is accomplished in two steps (i) detection of bu...

Biman Kumar Saha Roy

Papers

Detection and location of faults in large transmission networks using minimum number of phasor measurement units

A comparative study on the computation of directional overcurrent relay coordination in power systems using PSO and TLBO based optimization

Dual use line relays to improve power swing deblocking function

PMU‐based power system component monitoring scheme satisfying complete observability with multicriteria decision support

Faulty Line Identification Algorithm for Secured Backup Protection Using PMUs