An Optimal Control Load Demand Sharing Strategy for Multi-Feeders in Islanded Microgrid
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 12
Abstract
For the operation of autonomous microgrid (MG), an essential task is to meet the load demand sharing using multiple distributed generation (DG) units. The conventional droop control methods and its numerous variations have been developed in the literature in order to realize proportional power sharing amongst such multiple DG units. However, the conventional droop control strategies are subjected to power sharing error because of non-trivial feeder impedances of medium-voltage MGs. Further, complex MGs configurations (mesh or looped networks) usually make to reactive power sharing and system voltage regulation more challenging. This paper presents an optimal control strategy in order to perform the proportional power sharing and voltage regulation for multiple feeders in islanded AC MGs. The case study simulation for optimizing the power sharing and voltage regulations in proposed control strategy has been verified through using MATLAB/Simulink systems.
Authors and Affiliations
Muhammad Zahid Khan, Muhammad Mansoor Khan, Xu Xiangming, Umar Khalid, Muhammad Ahmed Usman Rasool
A Format-Compliant Selective Encryption Scheme for Real-Time Video Streaming of the H.264/AVC
H.264 video coding standard is one of the most promising techniques for the future video communications. In fact, it supports a broad range of applications. Accordingly, with the continuous promotion of multimedia servic...
Rotation-Invariant Neural Pattern Recognition System Using Extracted Descriptive Symmetrical Patterns
In this paper a novel rotation-invariant neural-based pattern recognition system is proposed. The system incorporates a new image preprocessing technique to extract rotation-invariant descriptive patterns from the...
Developing a Stochastic Input Oriented Data Envelopment Analysis (SIODEA) Model
Data Envelopment Analysis (DEA) is a powerful quantitative tool that provides a means to obtain useful information about efficiency and performance of firms, organizations, and all sorts of functionally similar, relative...
Security Policies for Securing Cloud Databases
Databases are an important and almost mandatory means for storing information for later use. Databases require effective security to protect the information stored within them. In particular access control measures are e...
CNNSFR: A Convolutional Neural Network System for Face Detection and Recognition
In recent years, face recognition has become more and more appreciated and considered as one of the most promising applications in the field of image analysis. However, the existing models have a high level of complexity...