基于ESCA技术的自主可再生能源系统优化与比较

2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2017-12-01 DOI:10.1109/WIECON-ECE.2017.8468936

Ranjay Singh, R. Bansal, Nidhi Tiwari

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引用次数: 3

摘要

本文介绍了电力系统级联分析(ESCA)在由风能转换系统(WECS)、光伏发电(PVG)、电池储能系统(BESS)和生物质发电机(BMG)等非间歇源组成的混合系统优化中的应用。本文旨在通过寻找以最终剩余能量(FEE)作为优化约束的发电机组的优化尺寸来展示ESCA在混合系统中的应用，并比较了三种系统配置，即仅非间歇源，仅间歇源以及由这两种源组成的混合系统具有预定义的可再生能源分数(REF)。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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optimization and Comparison of Autonomous Renewable Energy System Based on ESCA Technique

This paper presents the application of electric system cascade analysis (ESCA) for optimization of a hybrid system consisting of wind energy conversion system (WECS), photo-voltaic generation (PVG), battery energy storage system (BESS) and non-intermittent source like bio-mass generator (BMG). The paper aims to show the application of ESCA for a hybrid system by finding the optimized size of the generating units with final excess energy (FEE) as the optimization constraint and also compare three system configurations, i.e. non-intermittent source only, with intermittent source only and a hybrid system comprising of both these sources with a predefined renewable energy fraction (REF).

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2017 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)

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