Power and Energy

Automatic generation control (AGC) of power generation units aims at providing satisfactory responses of generated active powers to desired active powers dispatched from a power grid center. This paper proposes a method to estimate two frequently-used AGC performance metrics of response rapidity and accuracy. The proposed method is composed of two main  parts . The first part selects step-like data segments as those being similar to a designed step-change time sequence, based on consecutive piece-wise linear representations of the desired active power.

This is a data set of identification for nonlinear flow characteristics of paper ''Identification for nonlinear flow characteristics of main steam regulating valves by mining special segments from industrial big data ''.

This dataset is used to study the P2P-based distributed transactive energy management problem in the distribution system, which is solved via a fully-decentralized ADMM approach. Considering that P2P trading is a form of the decentralized trading, a fully decentralized computation algorithm without a central supervisor is proposed to compute our proposed model on a peer-to-peer basis. A multi-period AC optimal power flow (OPF) model is used to monitor power flow in distribution system.

This handbook and dataset provides a large set of ferromagnetic saturation curves with Hysteresis based on JA model and nonlinear reluctance of Matlab/Simulink/Simscape.
The saturation curves are available for different materials, but for simulations, the JA parameters are also needed which are not available to the public. Therefore, this handbook will help researchers to find the best fit between their specimen and curves provided in this handbook to find the approximate JA parametes to use, or start fiding accurate JA using them as the initial values.