A Novel Coordinated Efficient GA-Self Regulating PID Controller for Hybrid PV-FC-Diesel-Battery Renewable Energy Scheme for Household Electricity Utilization

2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation Pub Date : 2010-05-26 DOI:10.1109/AMS.2010.94

A. Sharaf, A. El-Gammal

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引用次数: 2

Abstract

The paper presents the dynamic modeling and coordinated control strategy for an integrated micro grid scheme using Photo Voltaic PV, Fuel Cell FC, and backup Diesel generation with additional battery backup system. The integrated scheme is fully stabilized using a novel FACTS based green filter compensators that ensures stabilized DC bus voltage, minimal inrush current conditions, and load excursions while ensuring that the diesel generator set is only utilized when the demand energy exceeds the PV, FC and battery sources capacity within a specified operational levels to ensure highest efficient operation of the integrated renewable energy sources with the diesel engine. The paper presents a novel application of Multi Objective Genetic search Algorithms MOGA to control the 6-pulse controlled rectifier converter, dynamic filter/capacitor compensation DFC and the Green Power Filter GPF AC and DC schemes using real time dynamic self regulating error tracking.

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一种新型协调高效ga自调PID控制器用于家用光伏- fc -柴油-电池混合可再生能源方案

提出了一种采用光伏、燃料电池FC和备用柴油发电并附加电池备用系统的集成微电网方案的动态建模和协调控制策略。集成方案使用新颖的基于FACTS的绿色滤波补偿器来完全稳定，确保稳定的直流母线电压，最小的涌流条件和负载偏移，同时确保柴油发电机组仅在需求能量超过规定运行水平内的PV, FC和电池容量时使用，以确保集成可再生能源与柴油发动机的最高效率运行。本文提出了一种新的应用多目标遗传搜索算法MOGA控制6脉冲控制整流变换器、动态滤波/电容补偿DFC和绿色电力滤波器GPF交流和直流方案，采用实时动态自调节误差跟踪。

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2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation

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