考量環境污染因子情境下基於粒子群優法為基礎之微電網最佳化能源管理系統;Optimial Energy Management System Based on Particle Swarm Optimization for Microgrid by Considering Environmental pollution Factor

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Electrical Engineering > Electronic Thesis & Dissertation > Item 987654321/90001

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/90001

Title:	考量環境污染因子情境下基於粒子群優法為基礎之微電網最佳化能源管理系統;Optimial Energy Management System Based on Particle Swarm Optimization for Microgrid by Considering Environmental pollution Factor
Authors:	呂睿紘;Lu, Jui-Hung
Contributors:	電機工程學系
Keywords:	微電網;電力調度;成本最佳化;粒子群優法;環境因子;Microgrid;power dispatch;cost optimization;particle swarm optimization;Environmental pollution Factor
Date:	2022-08-16
Issue Date:	2022-10-04 12:07:14 (UTC+8)
Publisher:	國立中央大學
Abstract:	由於近年全球暖化嚴重以及原油、煤等石化燃料短缺，政府也正積極推行將再生能源結合微電網。然而再生能源的不穩定性使其運用始終存在著調度上的疑慮，需搭配電池儲能系統才能有效的解決此問題，使儲能設備成為再生能源的標準配備。同時意味著微電網需應付各種運轉情境、天氣、電力事件等應變能力，使得控制策略尤為重要，進而增加能源的使用效率，並穩定輸出給負載。本文整合太陽能發電、儲能系統及燃料電池之微電網，基於電池剩餘電量及太陽能發電來做為能源調度的基準，控制發電機和儲能系統之電力調度透過本文提出之能源管理，因應不同的再生能源發電量、發電成本與需量進行最佳化功率分配，有效提升能源的使用效率，並達到用電成本最小化之目標。;Due to the severe global warming and the shortage of fossil fuels such as crude oil and coal in recent years, the government is also actively promoting the integration of renewable energy with microgrids. However, the instability of renewable energy makes its use always have scheduling doubts. It needs to be equipped with a battery energy storage system to effectively solve this problem and make energy storage equipment a standard equipment for renewable energy. At the same time, it means that the microgrid needs to cope with various operating scenarios, weather, power events and other emergency capabilities, making the control strategy particularly important, thereby increasing the efficiency of energy use and stably outputting to the load. This article integrates solar power generation, energy storage system and fuel cell microgrid, based on the remaining battery power and solar power generation as the benchmark for energy dispatch, and controls the power dispatch of generators and energy storage systems through the energy management proposed in this article, in response to different Renewable energy power generation, power generation cost and demand are optimized for power allocation, which effectively improves the efficiency of energy use and achieves the goal of minimizing electricity costs.
Appears in Collections:	[Graduate Institute of Electrical Engineering] Electronic Thesis & Dissertation

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