Simulation of a new proposed voltage-base self-intervention technique with increment and decrement voltage conduction method to optimize the renewable energy sources DC output

A simple Voltage-Base Self-Intervention technique is introduced in this paper to perform the switching between the connected distributed generation renewable energy sources. The Voltage-Base Self-Intervention technique fetch maximum power from either the solar photovoltaic or wind energy systems under inhomogeneous conditions and output stable voltage for DC – AC inverter and DC – DC Boost Converter. In order to fetch the maximum power, the proposed Voltage-Base Self-Intervention technique is integrated after the stable DC voltage system. This is to ensure the DC bus can efficiently and effectively measure the voltage increment and decrement during the voltage conduction. To validate the performances of the proposed Voltage-Base Self-Intervention technique for solar – wind renewable energy sources, PROTEUS simulations are presented in this paper. Simulation results shows that the proposed technique effectively perform the Self-Intervention between the distributed generation solar – wind renewable energy sources using the voltage sensing and measurement

A design scheme of energy management,control,optimisation system for hybrid solar-wind and battery energy storages system

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University London.Hybrid renewable energy system was introduced to improve the individual renewable energy power system’s productivity and operation-ability. This circumstance has led towards an extensive technological study and analysis on the hybrid renewable energy system. The extensive technological study is conducted using many different approaches, but in this research the linear programming, artificial intelligence and smart grid approaches are studied. This thesis proposed a complete hardware system development, implementation and construction of real-time DC Hybrid Renewable Energy System for solar-wind-battery energy source integrated with grid network support. The proposed real-time DC HRES hardware system adopts the hybrid renewable energy system concept which is composed of solar photovoltaic, wind energy system, battery energy storage system and grid network support. The real-time DC HRES hardware system research work is divided into three stages. Stage 1 involves modelling and simulation of the proposed system using MATLAB Simulink/Stateflow software. During this stage, system’s methodological design and development is emphasised. The obtained results are considered as fundamental finding to design, develop, integrate, implement and construct the real-time DC HRES hardware system. Stage II is designing and developing the electronic circuits for the real-time DC HRES hardware system using PROTEUS software. Real time simulation is performed on the electronic circuits to study and analyse the circuit’s behaviour. This stage also involves embedded software application development for the microcontroller PIC16F877A. Thus, continuous dynamic decision-making algorithm is developed and incorporated into microcontroller PIC16F877A. Next, electronic circuits and continuous dynamic decision-making algorithm are integrated with the microcontroller PIC16F877A as a real-time DC HRES hardware system to perform real time simulation. The real-time DC HRES hardware system simulation results are studied, analysed and compared with the results obtained in Stage 1. Any indifference between the obtained results in Stage 1 and Stage 2 are analysed and necessary changes are made. Stage 3 involves integrating, implementation and construction of real-time DC HRES. The continuous dynamic decision-making algorithm is also incorporated into the real microcontroller PCI16F877A development board. Real-time DC HRES’s experimental results have successfully demonstrated the system’s ability to perform supervision, coordination, management and control of all the available energy sources with lease dependency on the grid network. The obtained results demonstrated the energy management and optimisation of the available energy sources as primary power source deliver