scholarly journals Application Design of AI Image Recognition in Power System

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Boyan Jia ◽  
Zizi Zhang ◽  
Jingran Jia ◽  
Hongliang Shen ◽  
Likun Ding
Keyword(s):  
Power Systems ◽  
Power System ◽  
Image Recognition ◽  
Process Simulation ◽  
Social Economy ◽  
Digital Instrument ◽  
Simulation Experiments ◽  
Identification Process ◽  
Wide Range ◽  
Power Safety

With the continuous development of social economy, more and more attention is paid to the safety of power systems. However, since the power system involves a wide range of areas, how to effectively maintain power safety is extremely important. The AI image recognition technology is introduced to effectively identify the relevant signal lamps, digital instrument panels, switch positions, etc., of power equipment and sort out the specific identification process. Simulation experiments prove that AI image recognition is effective and can support the application of power systems.

scholarly journals Studying State Convergence of Input-to-State Stable Systems with Applications to Power System Analysis

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 92 ◽  
Author(s):  
Antonio T. Alexandridis
Keyword(s):  
Nonlinear Systems ◽  
Power Systems ◽  
Power System ◽  
System Analysis ◽  
Nonlinear Models ◽  
Sufficient Conditions ◽  
Stability And Convergence ◽  
Convergence To Equilibrium ◽  
Analysis Tool ◽  
Wide Range

In stability studies, the response of a system enforced by external, known or unknown, inputs is of great importance. Although such an analysis is quite easy for linear systems, it becomes a cumbersome task when nonlinearities exist in the system model. Nevertheless, most of the real-world systems are externally enforced nonlinear systems with nonzero equilibriums. Representative examples in this category include power systems, where studies on stability and convergence to equilibrium constitute crucial objectives. Driven by this need, the aim of the present work is twofold: First, to substantially complete the theoretical infrastructure by establishing globally valid sufficient conditions for externally enforced nonlinear systems that converge to nonzero equilibriums and, second, to deploy an efficient method easily applicable on practical problems as it is analyzed in detail on a typical power system example. To that end, in the theoretical first part of the paper, a rigorous nonlinear analysis is developed. Particularly, starting from the well-established nonlinear systems theory based on Lyapunov techniques and on the input-to-state stability (ISS) notion, it is proven after a systematic and lengthy analysis that ISS can also guarantee convergence to nonzero equilibrium. Two theorems and two corollaries are established to provide the sufficient conditions. As shown in the paper, the main stability and convergence objectives for externally enforced systems are fulfilled if simple exponential or asymptotic converging conditions can be proven for the unforced system. Then, global or local convergence is established, respectively, while for the latter case, a novel method based on a distance-like measure for determining the region of attraction (RoA) is proposed. The theoretical results are examined on classic power system generation nonlinear models. The power system examples are suitably selected in order to effectively demonstrate the proposed method as a stability analysis tool and to validate all the particular steps, especially that of evaluating the RoA. The examined system results clearly verify the theoretical part, indicating a rather wide range of applications in power systems.

scholarly journals Probabilistic stability analysis: the way forward for stability analysis of sustainable power systems

2017 ◽  
Vol 375 (2100) ◽  
pp. 20160296 ◽  
Author(s):  
Jovica V. Milanović
Keyword(s):  
Stability Analysis ◽  
Power Systems ◽  
Power System ◽  
Power System Stability ◽  
Spatial Uncertainty ◽  
System Stability ◽  
Integral Approach ◽  
Storage Devices ◽  
Wide Range ◽  
First Time

Future power systems will be significantly different compared with their present states. They will be characterized by an unprecedented mix of a wide range of electricity generation and transmission technologies, as well as responsive and highly flexible demand and storage devices with significant temporal and spatial uncertainty. The importance of probabilistic approaches towards power system stability analysis, as a subsection of power system studies routinely carried out by power system operators, has been highlighted in previous research. However, it may not be feasible (or even possible) to accurately model all of the uncertainties that exist within a power system. This paper describes for the first time an integral approach to probabilistic stability analysis of power systems, including small and large angular stability and frequency stability. It provides guidance for handling uncertainties in power system stability studies and some illustrative examples of the most recent results of probabilistic stability analysis of uncertain power systems. This article is part of the themed issue ‘Energy management: flexibility, risk and optimization’.

Design of Observer-Based Robust Power System Stabilizers

2016 ◽  
Vol 3 (1) ◽  
pp. 38
Author(s):  
Hisham M. Soliman ◽  
Mahmoud Soliman
Keyword(s):  
Power Systems ◽  
Power System ◽  
Controller Design ◽  
Damping Ratio ◽  
Iterative Solution ◽  
Linear Matrix ◽  
Diagonal Form ◽  
Matrix Inequality ◽  
Great Loss ◽  
Wide Range

<p>Power systems are subject to undesirable small oscillations that might grow to cause system shutdown and consequently great loss of national economy. A model to describe power system dynamics for different loads is derived in the norm-bounded form. The first controller design is based on the derived model to achieve  robust stability against load variation. The design is based on a new Bilinear matrix inequality (BMI) condition. The BMI optimization  is solved interatively in terms of Linear Matrix Inequality (LMI) framework. The condition contains a symmetric positive definite full matrix to be obtained, rather than the commonly used block diagonal form. The difficulty in finding a feasible solution is thus alleviated. The resulting LMI is of small size, easy to solve. The second PSS design shifts the closed loop poles in a desired region so as to achieve a favorite  settling time and damping ratio via a non-iterative solution to a set of LMIs.  Simulation results based on single-machine and multi-machine power system models verify the ability of the proposed PSS to satisfy control objectives for a wide range of load conditions.</p>

scholarly journals Assessment of the Impacts of Climate Change on Power Systems: The Italian Case Study

2021 ◽  
Vol 11 (24) ◽  
pp. 11821
Author(s):  
Giuseppe Marco Tina ◽  
Claudio F. Nicolosi
Keyword(s):  
Climate Change ◽  
Power Systems ◽  
Power System ◽  
Electrical Energy ◽  
Meteorological Variables ◽  
System Transformation ◽  
Change Models ◽  
Italian Case ◽  
Wide Range ◽  
The Impact

Climate change due to the greenhouse effect will affect meteorological variables, which in turn will affect the demand for electrical energy and its generation in coming years. These impacts will become increasingly important in accordance with the increasing penetration of renewable, non-programmable energy sources (e.g., wind and solar). Specifically, the speed and amplitude of power system transformation will be different from one country to another according to many endogenous and exogenous factors. Based on a literature review, this paper focuses on the impact of climate change on the current, and future, Italian power system. The paper shows a wide range of results, due not just to the adopted climate change models used, but also to the models used to assess the impact of meteorological variables on electricity generation and demand. Analyzing and interpreting the reasons for such differences in the model results is crucial to perform more detailed numerical analyses on the adequacy and reliability of power systems. Concerning Italian future scenarios, the double impact of uncertainties in national policies and changes in power plant productivity and demand, has been considered and addressed.

scholarly journals Optimal coordinated design of PSS and UPFC-POD using DEO algorithm to enhance damping performance

2020 ◽  
Vol 10 (6) ◽  
pp. 6111
Author(s):  
Omar Muhammed Neda
Keyword(s):  
Power Systems ◽  
Power System ◽  
Heuristic Algorithms ◽  
Optimal Parameter ◽  
Low Frequency ◽  
System Stability ◽  
Unified Power Flow Controller ◽  
Optimum Result ◽  
Comparison Results ◽  
Wide Range

Low-frequency oscillations (LFO) are an inevitable problem of power systems and they have a great effect on the capability of transfer and power system stability. The power system stabilizers (PSSs) as well as flexible AC transmission system (FACTS) devices can help to damp LFO. The target of this study is to tackle the problem of a dual-coordinated design between PSS and unified power flow controller (UPFC) implementing the task of power oscillation damping (POD) controller in a single machine infinite bus (SMIB) system. So, dolphin echolocation optimization (DEO) technique is utilized as an optimization tool to search for optimal parameter tunings based on objective function for enhancing the dynamic stability performance for a SMIB. DEO an algorithm has a few parameters, simple rules, provides the optimum result and is applicable to a wide range of problems like other meta-heuristic algorithms. Use DEO gave the best results in damping LFO compared to particle swarm optimization (PSO) algorithm. From the comparison results between PSO and DEO, it was shown that DEO provides faster settling time, less overshoot, higher damping oscillations and greatly improves system stability. Also, the comparison results prove that the multiple stabilizers show supremacy over independent controllers in mitigationg LFO of a SMIB.

Damping Improvement of Power System Oscillations by Using Optimal Coordinated Design between PSS and SVC-Based Stabilizer

2013 ◽  
Vol 321-324 ◽  
pp. 1382-1387 ◽  
Author(s):  
Ali Nasser Hussain ◽  
F. Malek ◽  
Mohd. Abdur Rashid ◽  
Latifah Mohamed ◽  
Nuriziani Hussin
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electrical Power ◽  
Low Frequency ◽  
Operation Condition ◽  
Stability Performance ◽  
Low Frequency Oscillations ◽  
Damping Controllers ◽  
Large Expansion ◽  
Wide Range

The large expansion of electrical power systems usually results in problem of low frequency oscillations. Therefore, the conventional Power System Stabilizers (PSSs) used to solve this problem cannot provide an adequate damping of low frequency oscillations. Flexible AC Transmission System (FACTS) damping controllers are available for providing suitable damping for these oscillations. This paper, presents the simultaneous coordinated design of the multiple damping controllers between PSS and SVC-based stabilizer in a single machine infinite bus power system. The coordinated design problem of multiple damping controllers is formulated as an optimization problem. Particle swarm optimization algorithm is applied in order to search optimal controlling parameters by maximizing the objective function based on the eigenvalue. The simulation results for a wide range of operation condition show that the coordinated design able to provide better damping and stability performance.

scholarly journals Modern Power System Dynamics, Stability and Control

Energies ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3814
Author(s):  
Antonio T. Alexandridis
Keyword(s):  
Power Systems ◽  
Power System ◽  
System Dynamics ◽  
Renewable Energy Sources ◽  
Power System Dynamics ◽  
Stability And Control ◽  
Power And Control ◽  
Wide Range ◽  
And Control ◽  
Dynamics Stability

This Special Issue of Energies, “Modern Power System Dynamics, Stability and Control”, addresses the core problem of deploying novel aspects in the analysis of modern power systems as these are composed after the high penetration of distributed generation (DG) with different renewable energy sources (RES). The focus is given either on the new whole power and control system configuration or on individual cases of DG sources, power converters and other general or specific plants and devices. The problem can be tackled with different methodologies and may have several, more or less valuable and complicated solutions. The twenty-three accepted papers certainly offer a good contribution in a wide range of applications; they are extended from basic system theory perspectives, fundamental nonlinear analysis tools and novel modeling deployments to some interesting particular system and control issues.

scholarly journals Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2093 ◽  
Author(s):  
Humberto Verdejo ◽  
Victor Pino ◽  
Wolfgang Kliemann ◽  
Cristhian Becker ◽  
José Delpiano
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
Power System ◽  
Electric Power ◽  
Particle Swarm ◽  
Electric Power Systems ◽  
Simulation Software ◽  
Power System Stabilizers ◽  
Swarm Optimization ◽  
Wide Range

The application of artificial intelligence-based techniques has covered a wide range of applications related to electric power systems (EPS). Particularly, a metaheuristic technique known as Particle Swarm Optimization (PSO) has been chosen for the tuning of parameters for Power System Stabilizers (PSS) with success for relatively small systems. This article proposes a tuning methodology for PSSs based on the use of PSO that works for systems with ten or even more machines. Our new methodology was implemented using the source language of the commercial simulation software DigSilent PowerFactory. Therefore, it can be translated into current practice directly. Our methodology was applied to different test systems showing the effectiveness and potential of the proposed technique.

Interarea Power System Oscillations Damping via AI-based Referential Integrity Variable-Structure Control

2016 ◽  
Vol 17 (5) ◽  
pp. 497-509 ◽  
Author(s):  
M. A. Ebrahim ◽  
H. S. Ramadan
Keyword(s):  
Power Systems ◽  
Power System ◽  
Variable Structure ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Rule Base ◽  
Electromechanical Modes ◽  
Interconnected Power Systems ◽  
Wide Range ◽  
System Stabilizer

Abstract The design of power system stabilizer (PSS) is load-dependent and needs continuous adjustment at each operating condition. This paper aims at introducing a robust non-fragile PSS for interconnected power systems. The proposed controller has the capability of adaptively tuning online its rule-base through a variable-structure direct adaptive control algorithm in order to rigorously attain the desired objectives. The PSS controller acts on damping the electromechanical modes of oscillations not only through a wide range of operating conditions but also in presence of different disturbances. Using MATLABTM-Simulink, simulation results significantly verify that the proposed controller provides favorable performance and efficiently contributes towards enhancing the system dynamic behavior when applied to the four machines two-area power system that mimics the typical system behavior in actual operation. The interaction between the variable-structure adaptive fuzzy-based power system stabilizer (VS-AFPSS) and the existed typical ones inside the interconnected power systems has been explicitly discussed. Compared to other conventional controllers, VS-AFPSS enables better damping characteristics to both local and inter-area oscillation modes considering different operating conditions and sever disturbances.

scholarly journals Parametric Study of a Lunar Base Power Systems

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1141
Author(s):  
Marcin Kaczmarzyk ◽  
Michał Musiał
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Power System ◽  
Nuclear Power ◽  
Total Power ◽  
Solar Array ◽  
Mass Reduction ◽  
Storage Unit ◽  
Power Sources ◽  
Wide Range

Due to the extreme cost of cargo transportation from Earth to the lunar surface, future lunar base subsystems are required to be rigorously optimized in terms of mass reduction. The purpose of this paper was to identify and evaluate the influence of key parameters of proposed lunar base power systems, as well as of the lunar environment on the total power system mass. Nine different power systems were studied as combinations of two power sources and three energy storage technologies. Power system architecture, total power demand of the base, its power management strategy, solar array structure type, Selenographic latitude and solar illumination conditions were nominated as the primary parameters for this study. Total power system mass calculations were performed for more than 200 combinations of these parameters, including three separate case studies. The total mass calculated for each combination included a power source, an energy storage unit, temperature control and the balance of system. For the wide range of studied parameters, hybrid power systems that combine solar and nuclear power were found to be the most advantageous solutions in terms of mass reduction.

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