Stochastic Assessment of Voltage Sag Considering the Time Characteristic of Protection System

2013 ◽  
Vol 380-384 ◽  
pp. 3160-3165
Author(s):  
Li Pin Chen ◽  
Xian Yong Xiao ◽  
Yu Tao Qiu ◽  
Qian Xiong
Keyword(s):  
Power System ◽  
System Simulation ◽  
Test System ◽  
Time Characteristic ◽  
Assessment Model ◽  
Protection System ◽  
Voltage Sag ◽  
Traditional Assessment ◽  
Clearing Time ◽  
Simulation Results

When fault occurs in power system, the duration of voltage sag is determined by the fault clearing time of the protection system. In order to describe the duration of voltage sag more accurately, the time characteristic of protection system is considered for stochastic assessment of voltage sag. Based on the traditional assessment model, the mapping relationship between the time characteristic of protection system and voltage sag frequency is established using fault positions method. The proposed method is applied to the IEEE-30 bus test system, simulation results show that the time characteristic of protection system has an obvious influence on the duration of voltage sag, and very serious errors will be produced if the time characteristic of protection system is ignored. The proposed method is simple, adaptive and practical, and it is of academic value and practical foreground.

Impacts of Protection Cooperation on Voltage Sag Frequency and Sensitive Equipment Trips

2012 ◽  
Vol 605-607 ◽  
pp. 819-823
Author(s):  
Li Pin Chen ◽  
Xian Yong Xiao ◽  
Ying Wang ◽  
Jian Jiao
Keyword(s):  
Power System ◽  
State Space ◽  
Test System ◽  
Protection System ◽  
Voltage Sag ◽  
Voltage Sags ◽  
Markov State ◽  
System Components ◽  
Simulation Results ◽  
The Impact

When faults happen to the power system components, the duration of voltage sags is determined by the cooperation of protection system. Many literatures have been done in analyzing the factors which influence the magnitude of voltage sags, but the impact of protection cooperation on sag duration is not considered by existing studies. In order to estimate the duration of voltage sags more precisely, the novelty of the proposed approach is in probabilistic modeling of the cooperation of the protection system using the concept of Markov state space, then voltage sag frequency and sensitive equipment trips considering protection cooperation can be estimated by utilizing the configuration and setting value of the protection system. The proposed method was applied to the IEEE 57-bus test system, and the simulation results show that the proposed method is practical, simple and adaptive.

Voltage Sag Evaluation Method of a Real Distribution System Based on a Connection Number Model

2013 ◽  
Vol 341-342 ◽  
pp. 1363-1366
Author(s):  
Lang Bai ◽  
Le Yu
Keyword(s):  
Distribution System ◽  
Evaluation Method ◽  
Assessment Model ◽  
Voltage Sag ◽  
Voltage Sags ◽  
Connection Number ◽  
Reliability Parameters ◽  
Real Distribution ◽  
System Components ◽  
Simulation Results

The evaluation results of power system are greatly influenced by the reliability parameters and uncertainty of system components. The connection number assessment model and an approach have been presented to assess the occurrence frequency due to voltage sags. The proposed method had been applied to a real distribution system. Compared with the interval number method, the simulation results have shown that this method is simple and flexible.

scholarly journals A General Framework for Voltage Sag Performance Analysis of Distribution Networks

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2824 ◽  
Author(s):  
Safdarian ◽  
Fotuhi-Firuzabad ◽  
Lehtonen
Keyword(s):  
Fault Location ◽  
Distribution Networks ◽  
Protection System ◽  
System Response ◽  
Voltage Sag ◽  
State Evaluation ◽  
Design Alternatives ◽  
Clearing Time ◽  
Location Type ◽  
State Selection

The proliferation of more sensitive loads has obliged distribution companies to pay greater attention to the voltage sag mitigation potential of different design alternatives in network planning studies. In doing so, a company has to have effective tools for estimating the voltage sag performance of its network. In this regard, this paper establishes a three-step framework for evaluating voltage sag performance of a distribution network. The first step, designated as state selection, is to select a network state in which voltage sag is likely. Although voltage sags have various causes, those that originated from faults in distribution networks are considered in this paper. The stochastic nature of fault location, type, resistance, and duration as well as the response of the protection system are taken into account. The second step, called state evaluation, deals with sag characteristics during the fault clearing time and the protection system response. The third step, named index calculation, is to estimate indices reflecting the sag performance of the network. A number of indices are proposed in this paper to reflect both system and load point-oriented issues. In light of the indices, companies may find effective solutions for voltage sag mitigation and customers choose appropriate solutions to provide ride-through support for their critical processes.

scholarly journals Voltage Coordination via Communication in Large-Scale Multi-Area Power Systems. Part II: Simulation Results

2012 ◽  
Vol 433-440 ◽  
pp. 7183-7189
Author(s):  
Mohammad Moradzadeh ◽  
René Boel
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Large Scale ◽  
Test System ◽  
Distributed Model ◽  
Future Evolution ◽  
Distributed Model Predictive Control ◽  
Control Actions ◽  
Simulation Results

This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This second part of the paper presents simulation results on a 12-bus 3-area test system, using the distributed model predictive control paradigm in order to design a coordinating model-based feedback controller. Coordination requires that each agent has some information on what the future evolution of its power flows to and from its neighbors will be. It will be shown that how the communication between agents can avoid voltage collapse in circumstances where classical uncoordinated controllers fail.

Coordinated control and parameters optimization for PSS, POD and SVC to enhance the transient stability with the integration of DFIG based wind power systems

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jawaharlal Bhukya ◽  
Talada Appala Naidu ◽  
Sandeep Vuddanti ◽  
Charalambos Konstantinou
Keyword(s):  
Power System ◽  
Wind Power ◽  
Wind Farm ◽  
Transient Stability ◽  
Parameter Tuning ◽  
Test System ◽  
Parameters Optimization ◽  
Coordination Mechanism ◽  
Three Phase ◽  
Simulation Results

Abstract This paper presents stability enhancement of a test system that is connected with a Wind Farm (WF) by using Power System Stabilizer (PSS) for Synchronous Generator (SG) and Power Oscillation Damper (POD) for Static Var Compensator (SVC). This paper also proposes a coordination mechanism for the controller to effectively damp out the oscillations and make the power system more stable by considering the uncertainties. The uncertainty is considered as wind speed variation and wind power penetration and different locations. The Particle Swarm Optimization (PSO) is used to overcome the controller parameter tuning drawbacks and controller coordination. The SG rotor speed deviation is selected as an objective function with various constraints for PSO. The transient stability analysis is carried out by considering large disturbance that is a three-phase fault. The nonlinear dynamic simulation results are obtained by integrating WF and SG replacement with the same rating WF. Evaluation and analysis are performed for various cases and different combination of without and with controllers. From the simulation results, it is noticed that oscillations in the system are minimized, and stability is enhanced at the maximum level. It also observed that the capability of SG and DFIG under three-phase fault is intensified by using PSO for optimized coordinated controller parameters. The robustness and effectiveness of the proposed approaches are evaluated on the IEEE-11 bus test system.

Voltage Stability Improvement of Transmission Systems Using a Novel Shunt Capacitor Control

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Masahiro Furukakoi ◽  
Mir Sayed Shah Danish ◽  
Abdul Motin Howlader ◽  
Tomonobu Senjyu
Keyword(s):  
Power System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Test System ◽  
System Operation ◽  
Power System Operation ◽  
Distributed Generators ◽  
Stability Method ◽  
Simulation Results ◽  
Shunt Capacitor

AbstractThis paper proposes a novel shunt capacitor (SC) based voltage stability method for a power system operation. The integration of distributed generators e.g. wind and PV powers to the grid, and fluctuations nature of load power cause the attention of voltage stability management for a power system operation and planning. The SC based proposed method improves the voltage stability by using the flow of active and reactive powers in the transmission line. The Voltagestability index (VSI) is utilized for the voltage stability analysis. The SC is installed at the load bus so that it can inject a proper amount of reactive power for ensuring the voltage stability of power system. The proposed method is investigated in the IEEE-14 bus test system. Simulation results are compared with the non-SC based method. Extensive simulation analyses have been done by the MATLAB/Simulink software.

scholarly journals Transmission Pricing Using Accounting Rate of Return and MW-km Methods

2019 ◽  
Vol 8 (9) ◽  
pp. 1462-1465
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
System Simulation ◽  
Technical Information ◽  
Rate Of Return ◽  
Transmission Pricing ◽  
Transmission Cost ◽  
Simulation Results ◽  
The Cost ◽  
Accounting Rate

This paper presents a realistic and transparent approach to determine transmission cost for the transmission lines of a power system network by allocating the costs to all the participating generating units and load demands. There is a requirement for developing an appropriate transmission pricing mechanism which can give economic and technical information to the participants of the market, i.e., customers, generation and transmission companies. This paper proposes a methodology to allocate the cost of transmission in power system network. In this paper, accounting rate of return (ARR) and MW-km approaches have been used to evaluate the cost of transmission in the system. Simulation results are presented on standard IEEE 14 bus system.

LOCATION OF VOLTAGE SAG SOURCE BY USING ARTIFICIAL NEURAL NETWORK

2017 ◽  
Vol 79 (2) ◽  
Author(s):  
Khairul Rijal Wagiman ◽  
S. N. Khalid ◽  
H. Shareef
Keyword(s):  
Performance Analysis ◽  
Power Quality ◽  
System Analysis ◽  
High Efficiency ◽  
Radial Basis Function Network ◽  
Test System ◽  
Voltage Sag ◽  
Double Line ◽  
Test Systems ◽  
Simulation Results

Power quality (PQ) is a major concern for number of electrical equipment such as sophisticated electronics equipment, high efficiency variable speed drive (VSD) and power electronic controller. The most common power quality event is the voltage sag. The objective is to estimate the location of voltage sag source using ANN. In this paper, the multi-monitor based method is used. Based on the simulation results, the voltage deviation (VD) index of voltage sag is calculated and assigned as a training data for ANN. The Radial Basis Function Network (RBFN) is used due to its superior performances (lower training time and errors). The three types of performance analysis considered are coefficient of determination (R2), root mean square error (RMSE) and sum of square error (SSE). The RBFN is developed by using MATLAB software. The proposed method is tested on the CIVANLAR distribution test system and the Permas Jaya distribution network. The voltage sags are simulated using Power World software which is a common simulation tool for power system analysis. The asymmetrical fault namely line to ground (LG) fault, double line to ground (LLG) fault and line to line (LL) fault are applied in the simulation. Based on the simulation results of voltage sag analysis, the highest VD is contributed by LLG for both test systems. Based on the proposed RBFN results, the best performance analysis are R2, RMSE and SSE of 0.9999, 5.24E-04 and 3.90E-05, respectively. Based on the results, the highest VD shows the location of voltage sag source in that system. The proposed RBFN accurately identifies the location of voltage sag source for both test systems.

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