Digital Electromagnetic Model of the Power System: Parallel Implementation for Multicomputers

Analysis of a bilinear model of an electric power system using spectral decompositions of Lyapunov functions

The article examines the current state of decentralized energy consumers, their problems, as well as the way to solve them. A model of an autonomous hybrid electric power system is proposed. A mathematical model of every element of the proposed system is presented. A simulation model has been developed that takes into account the influence of external factors on the power supply sources of the system. The data of modeling of the electrical power system in the daily time interval are obtained. The dependences of the output characteristics of the system on the variable input parameters are revealed. Conclusions are made about the integrity and effectiveness of the developed system.

Software time-domain simulation models are useful to the naval engineering community both for the system design of future vessels and for the in-service support of existing vessels. For future platforms, the existence of a model of the vessel's electrical power system provides a means of assessing the performance of the system against defined requirements. This could be at the stage of requirements definition, bid assessment or any subsequent stage in the design process. For in-service support of existing platforms, the existence of a model of the vessel's electrical power system provides a means of assessing the possible cause and effect of operational defects reported by ship's staff, or of assessing the possible future implications of some change in the equipment line-up or operating conditions for the vessel. Detailed high fidelity time-domain simulation of systems, however, can be problematic due to extended execution time. This arises from the model's mathematically stiff nature: models of Integrated Electric Propulsion systems can also require significant computational resource. A conventional time-domain software simulation model is only able to utilize a single computer processor at any one time. The duration of time required to obtain results from a software model could be significantly reduced if more computer processors were utilized simultaneously. This paper details the development of a distributed simulation environment. This environment provides a mechanism for partitioning a time-domain software simulation model and running it on a cluster of computer processors. The number of processors utilized in the cluster ranges between four and sixteen nodes. The benefit of this approach is that reductions in simulation duration are achievable by an appropriate choice of model partitioning. From an engineering perspective, any net timing reduction translates to an increase in the availability of data, from which more efficient analysis and design follows.

. Nonlinear consumers of electrical energy of significant capacity when operating as part of a single marine electric power system (MEPS) have a strong impact on the quality of the generated voltage, which is characterized by various electrical parameters, including the coefficient of nonlinear distortion (KND). When powered from such a network, distortion of signals from radio navigation equipment and control systems may occur, reducing efficiency of electric motors, generator equipment and electric energy consumers, deterioration of cable networks, etc. By changing active and passive methods of compensating for nonlinear voltage distortions, the influence of nonlinear electric power consumers on the voltage quality of the generated electric power at the MEPS can be reduced. One of the effective ways of compensation is the use of an active nonlinear distortion compensator, which allows you to reduce the KND to values of 4-5%. The use of a two-channel measurement and control system in an active compensator based on a voltage-boosting device is an effective way to compensate for nonlinear distortions. A new, different from the known, block diagram of the nonlinear distortion compensator is proposed, on the basis of which a simulation model of the ship's electric power system was developed in the Simulink application package of the MatLab graphical simulation environment. Simulation modeling has shown that the use of a two-channel control and measurement system makes it possible to reduce the level of nonlinear voltage distortion of the generated electricity to 2-3%, with the power of nonlinear consumers not exceeding 60% of the power source. Increasing the power of the voltage-add transformer of the active compensator under the same conditions makes it possible to reduce the coefficient of nonlinear distortion by 0.5%.

This study introduces the Bi-Level Source-Grid-Load Synergistic Optimization (BL_SGLSO) model, which effectively balances the competing objectives of water conservation and carbon emission reduction in the power industry. The model aims to establish a clean and low-carbon electric power system by harmoniously reconciling these two critical goals. Through the application of bi-level programming, the BL_SGLSO model adeptly manages the preferences and conflicts of decision makers at various levels while capturing regional interactions and the intricacies of electricity transmission. Key findings reveal that non-fossil energy conversion technologies are poised to become the dominant force in electricity generation, accounting for an impressive 89.34% share by 2050. To mitigate the spatial mismatch between power load and resource allocation, the development of new transmission pathways and the expansion of the “power transmission from west to east” initiative are paramount. Furthermore, the implementation of a carbon-reducing power system offers significant potential for conserving water resources and alleviating water stress. These insights provide invaluable guidance for decision makers seeking to optimize multi-regional electric power systems for both water efficiency and low-carbon outcomes while simultaneously promoting the adoption of renewable energy sources and fostering synergistic development across regions.

The modeling of electric power system on the state space with single, two and three area with integral and optimal control system known as Linear Quadratic Regulator(LQR) for designing the load frequency control system are realized in this paper. The fluctuations on voltage and frequency must be reduced to minimum level against load changes for obtaining high quality electric energy on electric power system. In this paper this is achieved by designing the integral controller and LQR .By using state-space analysis a state equation for three area load frequency is obtained. The proposed optimal LQR load frequency has been compared with integral control Simulink using MATLAB.

This paper investigates the dynamic stability of a droop-controlled multi-generator system in the more electric aircraft (MEA). Based on the developed state-space model of the potential dc electrical power system (EPS) architecture, the stability boundaries of EPS operation depending on parameter variations including component parameters and operating conditions are investigated. The effect of multiple parametric uncertainties on EPS stability is graphically illustrated by stability regions maps. In addition, the effect of the droop coefficient on the stability is discussed from the impedance point of view. The detailed mathematical models and analytical results of stability assessment are verified by time domain simulation studies.

The electrical power system (EPS) of an electric vehicle consisting of batteries, the motor and driving subsystem, has been modeled. A battery is modeled with an electrical circuit representing the features of a real battery. The driving subsystem is modeled as three different levels, that is, exact, average and functional models. The load profile includes road information, speed profile and EV mechanical parameters, which are incorporated into a reference torque in the driving subsystem model. A system model simulates the performance of the electric vehicle, incorporating the energy balance, battery status and electrical stresses of each subsystem.

With the rapid development of the aviation industry, more and more regional flights have been put into commercial use to meet the needs of different regions. In order to respond to the call for "carbon neutrality", regional aircrafts also need to develop towards the trend of "more-electric". When designing an on-board electric power system, a large number of simulation experiments are required to measure the operation of the entire system in steady state and various fault conditions. Therefore, there is an increasing demand for more accurate modeling of on-board power systems. Especially under fault conditions, it is extremely helpful for the design of the reconstruction diagram to accurately simulate the reconstruction sequence under fault conditions. In this paper, the hardware modeling of the contactor and the hardware interlock structure are modeled, which makes the modeling of the on-board power system more accurate. This paper also builds a classic turboprop regional aircraft power system at the behaviour level, and carries out the simulation under steady state and TRU fault conditions, showing that both the transient process and the reconstruction sequence can be accurately simulated.

This paper concerns a novel approach to the modeling and control design for transient stabilization of electric power systems using Flexible Alternating Current Transmission System (FACTS) devices. A nonlinear dynamic model of general interconnected electric power systems in the ordinary differential equation (ODE) form is proposed in terms of time-varying phasors of all dynamic components. This model captures previously unmodeled fast dynamics of inductors and capacitors of FACTS. Additionally, it allows us to observe the active power which is flowing through FACTS during transients. Using the derived model, an ectropy-based FACTS controller is proposed. The proposed controller regulates the active power through FACTS in order to shift the increment in energy created by disturbances. The energy increment is directed from generators into FACTS, preserving the synchronization between generators during disturbances. Simulation results obtained on the IEEE 14-bus system demonstrate the potential of this controller. The controller is shown to increase critical clearing time of the system in the case of a fault.

We propose a novel framework for Model-Based Diagnosis (MBD) that uses active testing to decrease the diagnostic uncertainty. This framework is called LYDIA-NG and combines several diagnostic, simulation, and active-testing algorithms. We have illustrated the workings of LYDIA-NG by building a LYDIA-NG-based decision support system for the Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite. This paper discusses a model of the GOCE Electrical Power System (EPS), the algorithms for diagnosis and disambiguation, and the experiments performed with a number of diagnostic scenarios. Our experiments produced no false positive scenarios, no false negative scenarios, the average number of classification errors per scenario is 1.25, and the fault detection time is equal to the computation time. We have further computed an average fault uncertainty of 2.06 × 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−3</sup> which can be automatically reduced to 9.5×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−4</sup> by sending a single, automatically computed, telecommand, thus dramatically reducing the fault isolation time.

A structure-induced bifurcation of nonsmooth nonlinear systems is studied and illustrated on electric power system models. The consequence of structure-induced bifurcation is an immediate instability induced by generator reactive power limits. It is numerically shown that structure-induced bifurcation can occur at both small power systems and large-scale power systems. Without taking the structure-induced bifurcation into account in defining power system operating limits, the resulting operating limits can be overly optimistic.

Every day the enterprises and its departments are faced with a number of serious problems related to centralization, qualitative and timely consideration of various applications, requirements, documents. In addition, there are many tasks related to operative processing and management of data on the state of technological equipment, aggregates, their completeness, and so on. Known approaches to analysis of the electrical power system structure have some differences. Among the determining factors, we can find the scale of the enterprise and the technological and organizational factors (e.g., the existing document management structure). The analysis has to taking into account the multi-factors tasks. These tasks are: a) implementation of production activities; b) electrical power system modeling; c) accounting and planning the allocation of resources (materials, equipment, working hours, transportation costs, etc.); d) tracking and periodic reporting for supervisors; e) personnel management; f) internal docflow and control system for performing discipline. To solving these tasks the university goal is to unite as research and development so as preparing the high-quality specialists. These specialists should have abilities to provide researches at first in university laboratories then in industrial enterprises.

This paper addresses innovative nonlinear approaches for dynamic equivalencing of machines for interconnected power systems. In contrast to the existing approaches that consider only fixed equivalencing steps without taking into consideration the machine parameters, these approaches reformulate the classical conditions incorporating real electromechanical model parameters and behaviours of the machines in the dynamic equivalencing. These aspects enable the integration of modern and intelligent techniques, such as the pattern recognition algorithms, fuzzy concept as machine splitting factor and the system identification by dynamical artificial neural networks. The electromechanical-based approaches generate accurate robust, non-linear dynamic equivalents and thereby enhance significantly their consistency and practical application on network reliability, management and planning. Test of these approaches have been performed and evaluated in large-scale model of the European interconnected electric power system (UCTE/CENTREL) and 16 multi machine system

Mainly designed for simulating the fluid motion, Smooth Particle Hydrodynamics (SPH) SPH has been widely applied to many fields, such as aerospace aircraft design and ship design. First, this paper presents an implementation of serial SPH method algorithm using the reflection method as the boundary condition. This paper describes entire process of SPH and gives detailed descriptions of some important procedures. Second, this paper realizes the corresponding parallel algorithm of SPH, which includes neighbor particle searching and building, physical attributes computation and other main SPH method procedures. Third, details of mapping different parts of the SPH serial algorithm to parallel algorithm on GPU with CUDA C as parallel programming language are also shown in this paper. Taking advantage of powerful computation ability of GPU, the experiment approximately achieves a 8X speedup that shows the high efficiency of GPU-based programming. The parallel algorithm not only achieves a high performance, but also promises a reliability result with a small error rate as the experiment result shows.