scholarly journals Modeling of Power System Simulation Based on FRTDS

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2749 ◽  
Author(s):  
Bingda Zhang ◽  
Ruizhao Hu ◽  
Sijia Tu ◽  
Jie Zhang ◽  
Xianglong Jin ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
System Modeling ◽  
Parameter Method ◽  
Voltage Coefficient ◽  
Modeling Process ◽  
Simulation Based ◽  
Electromagnetic Transient Simulation ◽  
Field Programmable ◽  
Minimum Estimate

In order to expand the simulation scale of the real-time digital solver based on FPGA (FRTDS, FPGA: field-programmable gate array), the power system modeling process is optimized. The multi-valued parameter method is used to represent the external characteristics of the equipment. The methods of addressing the equivalent admittance and voltage coefficient of the interval unit are discussed in detail. The serial degree of the simulation script is effectively reduced. The disadvantageous effects of asymmetric elements and nonlinear elements on node elimination are analyzed. The elimination order of nodes is determined according to the minimum estimate of the execution time of the simulation script. According to the proposed method to reduce the serial degree and calculation time of the simulation script, software for generating an electromagnetic transient simulation script for power systems is developed. The effectiveness of the software is verified by an example.

scholarly journals A New FPGA-Based Real-Time Digital Solver for Power System Simulation

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4666 ◽  
Author(s):  
Bingda Zhang ◽  
Xianglong Jin ◽  
Sijia Tu ◽  
Zhao Jin ◽  
Jie Zhang
Keyword(s):  
Power Systems ◽  
Power System ◽  
Real Time ◽  
System Simulation ◽  
Digital Simulation ◽  
Data Communication ◽  
Power System Simulation ◽  
Simulation Based ◽  
Field Programmable ◽  
The Look

Considering the rational use of field programmable gate array (FPGA) resources, this paper proposes a new FPGA-based real-time digital solver (FRTDS) for power system simulation. Based on the relationship between the number of computing components, the operating frequency, and the pipeline length, the best selection principle is given. By analyzing the implementation method of the Multi-Port Read/Write Circuit, the computing formula of the Look-Up-Table (LUT) consumption was derived. Given the excessive use of LUTs in the original computing components, the computing components were assembled in a single typical arithmetic expression of the power system simulation program, as the basic computing formula was characterized by a subset of the typical computing formula and multiple uses of the same variable. Data communication between different computing components was realized by using Multi-Port Input Circuits that share some outputs of read controller, and Multi-Port Output Circuits, which share some outputs of computing cores. According to the test results of original FRTDS and new FRTDS, it was found that the solution proposed in this paper had a shorter ideal simulation time and a higher parallel computing capability, which was very suitable for real-time digital simulation of power systems.

A SysML based hybrib photovoltaic-wind power system model

2017 ◽  
Vol 1 (2) ◽  
pp. 1
Author(s):  
Doudou Nanitamo Luta ◽  
Atanda K. Raji
Keyword(s):  
Power Systems ◽  
Power System ◽  
Wind Power ◽  
Systems Engineering ◽  
System Modeling ◽  
Point Of View ◽  
Modeling Language ◽  
Wind Power System ◽  
And Behavior ◽  
Model Based Systems Engineering

This paper presents a model of hybrid photovoltaic-wind power system based on SysML (System Modeling Language) which is a modeling language in supports to Model Based Systems Engineering (MBSE) practices. MBSE refers to a formalized procedure of systems development through the application of modeling principles, methods, languages and tools to the complete lifetime of a system.  Broadly speaking, the modeling of power systems is performed using software such as Matlab/Simulink, DigSilent, PowerWorld, ETAP, etc. These tools allow modeling considering a particular point of view depending on the objective that is to be assessed. SysML offers different aspects ranging from specifications and requirements, structure and behavior. This study focuses more specifically on the structural and behavioral modeling of hybrid photovoltaic-wind system; the main objective is to demonstrate the use of SysML in power systems’ modeling by developing models capturing the system’s major requirements, the structure and connection between entities, the interaction between stakeholders and the system itself and lastly, the system’s behavior in terms of transition between states.

scholarly journals Quasi-Z-Source Inverter-Based Photovoltaic Power System Modeling for Grid Stability Studies

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 508
Author(s):  
Lluís Monjo ◽  
Luis Sainz ◽  
Juan José Mesas ◽  
Joaquín Pedra
Keyword(s):  
Power Systems ◽  
Power System ◽  
System Modeling ◽  
Power Conversion ◽  
System Stability ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Stability Problems ◽  
Sensitivity Studies ◽  
And Control

Quasi-Z-source inverters (qZSIs) are becoming a powerful power conversion technology in photovoltaic (PV) power systems because they allow energy power conversion in a single stage operation. However, they can cause system resonances and reduce system damping, which may lead to instabilities. These stability problems are well known in grid-connected voltage source converter systems but not in quasi-Z-source inverter (qZSI)-based PV power systems. This paper contributes with Matlab/Simulink and PSCAD/EMTDC models of qZSI-based PV power systems to analyze transient interactions and stability problems. These models consider all power circuits and control blocks of qZSI-based PV power systems and can be used in sensitivity studies on the influence of system parameters on stability. PV power system stability is assessed from the proposed models. The causes of instabilities are analyzed from numerical simulations and possible solutions are proposed.

scholarly journals Power System Modeling for the Study of High Penetration of Distributed Photovoltaic Energy

Designs ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 62
Author(s):  
Gustavo Cuello-Polo ◽  
Efraín O’Neill-Carrillo
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Electric Power ◽  
Distribution Systems ◽  
System Modeling ◽  
Interdisciplinary Teams ◽  
Electric Power System ◽  
Power System Modeling ◽  
Data Limitations

Many conventional power systems are evolving due to the growth of renewable energy and distributed energy resources (DERs). Modeling the interplay of transmission and distribution systems is critical to analyze how DERs impact a system’s conventional operation and which electric infrastructure improvements are needed to achieve a balance between centralized generation and DERs. This article describes the process, tools, and resources used to model electric power systems with a centralized infrastructure in an isolated context and limited access to actual utility data. Photovoltaic systems installed on residential rooftops were the main design option. This work broadened the typical power system modeling to include planning and social considerations. This integrative engineering-social method allows for interdisciplinary teams to work in the development of a model as part of broader design goals for a renewable-dominant energy system. The Puerto Rico electric power system was used as a case study to demonstrate the process. The integrative engineering-social perspective in developing the model and the actions to manage data limitations are aspects that could be followed in other locations with aggressive renewable energy goals and where utility data are not readily available.

scholarly journals Sensitivity Analysis and Power Systems: Can We Bridge the Gap? A Review and a Guide to Getting Started

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8274
Author(s):  
Mirko Ginocchi ◽  
Ferdinanda Ponci ◽  
Antonello Monti
Keyword(s):  
Sensitivity Analysis ◽  
Power Systems ◽  
Power System ◽  
System Modeling ◽  
Support Tool ◽  
Effective Strategies ◽  
Improper Use ◽  
Research Questions ◽  
Partial Communication ◽  
Selection Of

Power systems are increasingly affected by various sources of uncertainty at all levels. The investigation of their effects thus becomes a critical challenge for their design and operation. Sensitivity Analysis (SA) can be instrumental for understanding the origins of system uncertainty, hence allowing for a robust and informed decision-making process under uncertainty. The SA value as a support tool for model-based inference is acknowledged; however, its potential is not fully realized yet within the power system community. This is due to an improper use of long-established SA practices, which sometimes prevent an in-depth model sensitivity investigation, as well as to partial communication between the SA community and the final users, ultimately hindering non-specialists’ awareness of the existence of effective strategies to tackle their own research questions. This paper aims at bridging the gap between SA and power systems via a threefold contribution: (i) a bibliometric study of the state-of-the-art SA to identify common practices in the power system modeling community; (ii) a getting started overview of the most widespread SA methods to support the SA user in the selection of the fittest SA method for a given power system application; (iii) a user-oriented general workflow to illustrate the implementation of SA best practices via a simple technical example.

Application of Bifurcation Theory to Subsynchronous Resonance in Power Systems

1998 ◽  
Vol 08 (01) ◽  
pp. 157-172 ◽  
Author(s):  
Ali H. Nayfeh ◽  
Ahmad M. Harb ◽  
Char-Ming Chin ◽  
Anan M. A. Hamdan ◽  
Lamine Mili
Keyword(s):  
Hopf Bifurcation ◽  
Power Systems ◽  
Power System ◽  
Limit Cycle ◽  
System Modeling ◽  
Complex Conjugate ◽  
Conjugate Pair ◽  
Subsynchronous Resonance ◽  
Basin Boundary ◽  
Compensation Level

A bifurcation analysis is used to investigate the complex dynamics of a heavily loaded single-machine-infinite-busbar power system modeling the characteristics of the BOARDMAN generator with respect to the rest of the North-Western American Power System. The system has five mechanical and two electrical modes. The results show that, as the compensation level increases, the operating condition loses stability with a complex conjugate pair of eigenvalues of the Jacobian matrix crossing transversely from the left- to the right-half of the complex plane, signifying a Hopf bifurcation. As a result, the power system oscillates subsynchronously with a small limit-cycle attractor. As the compensation level increases, the limit cycle grows and then loses stability in a secondary Hopf bifurcation, resulting in the creation of a two-period quasiperiodic subsynchronous oscillation, a two-torus attractor. On further increases of the compensation level, the quasiperiodic attractor collides with its basin boundary, resulting in the destruction of the attractor and its basin boundary in a bluesky catastrophe. Consequently, there are no bounded motions. The results show that adding damper windings may induce subsynchronous resonance.

Markov Jump Linear System Analysis of a Microgrid Operating in Islanded and Grid Tied Modes

2020 ◽  
Author(s):  
Gilles Mpembele ◽  
Jonathan Kimball
Keyword(s):  
Monte Carlo ◽  
Power Systems ◽  
Power System ◽  
System Analysis ◽  
Differential Algebraic Equations ◽  
Algebraic Equations ◽  
Markov Jump ◽  
Numerical Application ◽  
Conditional Moments ◽  
Markov Jump Linear Systems

<div>The analysis of power system dynamics is usually conducted using traditional models based on the standard nonlinear differential algebraic equations (DAEs). In general, solutions to these equations can be obtained using numerical methods such as the Monte Carlo simulations. The use of methods based on the Stochastic Hybrid System (SHS) framework for power systems subject to stochastic behavior is relatively new. These methods have been successfully applied to power systems subjected to</div><div>stochastic inputs. This study discusses a class of SHSs referred to as Markov Jump Linear Systems (MJLSs), in which the entire dynamic system is jumping between distinct operating points, with different local small-signal dynamics. The numerical application is based on the analysis of the IEEE 37-bus power system switching between grid-tied and standalone operating modes. The Ordinary Differential Equations (ODEs) representing the evolution of the conditional moments are derived and a matrix representation of the system is developed. Results are compared to the averaged Monte Carlo simulation. The MJLS approach was found to have a key advantage of being far less computational expensive.</div>

Grasshopper Algorithm Optimized Fractional Order Fuzzy PID Frequency Controller for Hybrid Power Systems

2019 ◽  
Vol 12 (6) ◽  
pp. 519-531
Author(s):  
Deepak Kumar Lal ◽  
Ajit Kumar Barisal
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fractional Order ◽  
Pid Controller ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Hybrid Power ◽  
Increasing Demand

Background: Due to the increasing demand for the electrical power and limitations of conventional energy to produce electricity. Methods: Now the Microgrid (MG) system based on alternative energy sources are used to provide electrical energy to fulfill the increasing demand. The power system frequency deviates from its nominal value when the generation differs the load demand. The paper presents, Load Frequency Control (LFC) of a hybrid power structure consisting of a reheat turbine thermal unit, hydropower generation unit and Distributed Generation (DG) resources. Results: The execution of the proposed fractional order Fuzzy proportional-integral-derivative (FO Fuzzy PID) controller is explored by comparing the results with different types of controllers such as PID, fractional order PID (FOPID) and Fuzzy PID controllers. The controller parameters are optimized with a novel application of Grasshopper Optimization Algorithm (GOA). The robustness of the proposed FO Fuzzy PID controller towards different loading, Step Load Perturbations (SLP) and random step change of wind power is tested. Further, the study is extended to an AC microgrid integrated three region thermal power systems. Conclusion: The performed time domain simulations results demonstrate the effectiveness of the proposed FO Fuzzy PID controller and show that it has better performance than that of PID, FOPID and Fuzzy PID controllers. The suggested approach is reached out to the more practical multi-region power system. Thus, the worthiness and adequacy of the proposed technique are verified effectively.

Analysis between graph-based and Power Transfer Distribution Factors (PTDF)-based model reduction methods in Electric Power Systems

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Diego A. Monroy-Ortiz ◽  
Sergio A. Dorado-Rojas ◽  
Eduardo Mojica-Nava ◽  
Sergio Rivera
Keyword(s):  
Power Systems ◽  
Power System ◽  
Model Reduction ◽  
Electrical Power ◽  
Schur Complement ◽  
Power Transfer ◽  
Electrical Power System ◽  
Admittance Matrix ◽  
Test Beds ◽  
Power Transfer Distribution Factors

Abstract This article presents a comparison between two different methods to perform model reduction of an Electrical Power System (EPS). The first is the well-known Kron Reduction Method (KRM) that is used to remove the interior nodes (also known as internal, passive, or load nodes) of an EPS. This method computes the Schur complement of the primitive admittance matrix of an EPS to obtain a reduced model that preserves the information of the system as seen from to the generation nodes. Since the primitive admittance matrix is equivalent to the Laplacian of a graph that represents the interconnections between the nodes of an EPS, this procedure is also significant from the perspective of graph theory. On the other hand, the second procedure based on Power Transfer Distribution Factors (PTDF) uses approximations of DC power flows to define regions to be reduced within the system. In this study, both techniques were applied to obtain reduced-order models of two test beds: a 14-node IEEE system and the Colombian power system (1116 buses), in order to test scalability. In analyzing the reduction of the test beds, the characteristics of each method were classified and compiled in order to know its advantages depending on the type of application. Finally, it was found that the PTDF technique is more robust in terms of the definition of power transfer in congestion zones, while the KRM method may be more accurate.

Sign in / Sign up

Export Citation Format

Share Document