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Power load is an important element in power system. While, the traditional load model is fixed. So, when the load components change, the load model will be inappropriate. Based on the Multiple Model Theory, this paper proposes the Adaptive Synthesis Dynamic Load Model (ASDLM). In load modeling, the load model set is established, and every model in the model set has a weight. The time-varying class...Show More
Accurate evaluation of the conservation voltage reduction (CVR) effect is paramount in achieving peak load reduction, conserving energy, and optimizing various power system control strategies related to CVR. Given the dynamic nature of loading conditions, it becomes crucial to develop a precise method for computing the time-varying CVR factor. Existing methods are solely validated on field measure...Show More
The time-varying parameter identification of load models has attracted broad attention when large amounts of intermittent distributed generations (DGs) and stochastic loads are integrated into the active distribution network (ADN). However, traditional time-varying load modeling approaches usually develop the load model with the composite load model (CLM) or the synthesis load model (SLM), which a...Show More
Middle and long term load forecasting is the essential basis for planning of distribution network. With high penetration DGs (distributed generation) integrated into network, the net load demand of HV/MV network become more complicated, load forecasting encounters greater challenge than ever. Volatility and intermittency of wind and solar power has greatly influenced the load characteristics. A ne...Show More
To improve the accuracy of short-term power load forecasting, a method based on time-varying feature autoencoders for power systems is proposed. This method optimizes the extraction and fusion of time-varying features from load time series data. Based on Fourier transform and inverse Fourier transform, the method performs autoencoding and decoding of periodic and trend components of load time seri...Show More
External load on a bearing which supports the shaft is, normally, composed of static and time-varying components and are essentially dynamic in nature. The external load on a bearing is transferred to the housing in which the bearing is fixed through the elements of bearing viz., inner race, rolling elements and outer race. In the present work an investigation has been made to estimate the excitat...Show More
In order to illustrate daily variation of dynamic characteristics of the load for different types of load, time-varying aggregate load responses are derived in this paper. Hourly participation of different load categories and dynamic responses of individual load categories are necessary information for the derivation of time-varying aggregate load responses. The load participations of individual l...Show More
This study provides an overview of the field of power grid safety analysis and simulation technology, focusing on the load model and parameters of the Central China Power Grid. With the help of big data analysis, the study analyzes the patterns of load changes with seasons, regions, and other factors, and conducts precise load modeling and parameter optimization analysis. This study introduces the...Show More
This research discusses the medium and long term load forecasting techniques that are an essential basis for planning of such a distribution network taking into account the high penetration of DGs into network. The net load demand of HV/MV network has become more complicated, load forecasting encounters greater challenges than ever. Volatility and intermittency of DG sources such as wind and solar...Show More
This paper investigates the delay-dependent stability of the LFC scheme considering two time-varying delays, a new less conservative delay-dependent stability criterion is proposed to study the delay margin of LFC system with PI controller based on Lyapunov-Krasovskii (LK) functional method and linear matrix inequality (LMI) technique. In the presented stability analysis procedure, the time deriva...Show More
Phase balancing can offer planning engineers a low-cost means of reducing operating costs, improving efficiency in electric power systems. In general, utilities make phase balancing based on peak load by thinking that is the worst case scenario, but every time is not the case. In this paper, time varying phase balancing algorithm is proposed to investigate the effect of hourly phase balancing for ...Show More
With the excessive consumption of fossil energy and the growing environmental pollution caused by its combustion, the gas turbine system (GTS) plays a key role in distributed renewable energy fields due to its versatility, efficiency and controllability. This paper focuses on the adaptive constraint regulation problem for the GTS with time-varying load disturbance, thereby facilitating exact speed...Show More
The integration of distributed renewable energy generation (DREG) has attracted great attention due to its technical and economic benefits to both consumer and utilities sides. This paper presents the impact of integrating renewable Photovoltaic (PV) based DREG using time-varying weather and time-varying load model in IEEE 33-bus and IEEE 69-bus systems. 13-years historical solar irradiance data a...Show More
This paper proposes a novel time-variant load model based on data-mining of a historical smart meter database. As part of the ongoing smart grid transformation, smart meters have been widely installed producing massive amount of data and information yet unexplored. One of the critical needs for distribution system operations and planning applications is enhanced modeling of the load, in particular...Show More
The integration of uncertain power resources is causing more challenges for traditional load modeling research. Parameter identification of load modeling is impacted by a variety of load components with time-varying characteristics. This paper develops a deep learning-based time-varying parameter identification model for composite load modeling (CLM) with ZIP load and induction motor. A multi-moda...Show More
A constant or voltage-dependent load model is usually assumed in most distributed generation (DG) planning studies. However, this paper proposes several different types of time-varying voltage-dependent load models to determine the penetration level of photovoltaic (PV) units in a distribution network. Here, a new analytical expression is first proposed to size a PV unit, which can supply active a...Show More
Uncertain power sources are increasingly integrated into distribution networks and causes more challenges for the traditional load modeling. A variety of distributed load components present dynamic characteristics with time-varying parameters. Toward the end, this paper proposes a robust time-varying parameter identification (TVPI) method for synthesis load modeling in distribution networks, inclu...Show More
In this paper, an algorithm for reactive power optimization with time-varying fuzzy load model (RPOTF) for medium-high voltage distribution networks is presented. This algorithm simplifies the mathematical model of unknown control variables, determines the assumed switching time of control devices and then converts the time-varying optimization model into the same one as static optimization. This ...Show More
This paper proposes a multiobjective voltage unbalance factor to estimate single-phase photovoltaic (PV) hosting capacity in 3-phase residential networks. This factor is derived from a combination of various components, including zero and negative-sequence voltage unbalance factors associated with the inherent variability and uncertainty of both loads and PV generation. A time-varying probabilisti...Show More
A novel approach to build load model utilizing load curve analysis technique is presented in this paper. Load model has been widely used in power system simulation currently, and its precision directly decides the reliability of simulation result. Through developing load survey and load curves analysis, dynamic synthesis load model can be created and the problem of time-varying characters of load ...Show More
This paper introduces an analytical expression for identify optimal size and location of wind-based distributed generation (DG) units so as to achieve the highest loss reduction in a distribution system. This paper considers a time-varying load model to find the penetration level of wind-based DG (wind DG) units in a distribution system. This recommended analytical method first size wind DG unit o...Show More
Adequacy evaluation of composite generation and transmission system can be performed in a variety of ways. In general, these techniques can be categorized as being either a Monte Carlo simulation approach or based on a contingency selection/evaluation procedure. This paper illustrates the development of an annual chronological load curve for each load bus in a composite generation and transmission...Show More
With the development of the power industry and the increasing use of distributed energy, short-term power load forecasting has become very important as a fundamental task of power system operation and planning. However, power loads are influenced by many factors and have complex nonlinear, and time-varying characteristics. It is challenging to capture dynamic changes using traditional forecasting ...Show More
Owing to the characteristics of nonlinearity, asymmetry and stochastic volatility, electrified railway traction loads have arose some hazardous effects to security and stability, reactive power compensation and voltage control, power supply quality of power system. It has practical significance to research on the influence of traction loads to power system for ensuring security and stability of po...Show More
Uncertainty factors such as unavoidable weather conditions and aging of components with time-varying process are compositely considered in the paper in reliability evaluation of distribution system. A method of distribution system reliability evaluation is introduced by considering uncertainty factors combined with sequential Monte-Carlo simulation method. Reliability and economic indices of load ...Show More