Study on Microgrid Power Dispatch by Optimal Load Shifting
碩士 === 國立臺灣科技大學 === 電機工程系 === 106 === This thesis applies optimal load shifting to microgrid power dispatch. First of all, a commercial software Solar Pro is used to create a solar PV system model and to simulate their power generation. The Weibull probability density distribution is used to create...
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ndltd-TW-106NTUS54421562019-05-16T00:59:41Z http://ndltd.ncl.edu.tw/handle/6mj797 Study on Microgrid Power Dispatch by Optimal Load Shifting 應用最佳化負載轉移於微電網電力調度之研究 Yu-Chen Husan 宣宇晨 碩士 國立臺灣科技大學 電機工程系 106 This thesis applies optimal load shifting to microgrid power dispatch. First of all, a commercial software Solar Pro is used to create a solar PV system model and to simulate their power generation. The Weibull probability density distribution is used to create a wind speed model and calculate its power generation. Then, this paper uses the fmincon, the built-in function of Matlab® for optimal load shifting of users. Users change their electricity consumption habit according to different time-of-use and dynamic electricity pricing to achieve the goal of stabilizing load curve. After that, in the case of meeting various operational restrictions and making full use of renewable energy, the microgrid integrates the optimized load and joins the battery energy storage system, and applies the particle swarm optimization (PSO) algorithm to microgrid power dispatch. Simulation results show that the proposed method can reduce the cost and may provide a valuable reference for real-time control and dispatch of a microgrid system. Tsai-Hsiang Chen 陳在相 2018 學位論文 ; thesis 97 zh-TW |
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碩士 === 國立臺灣科技大學 === 電機工程系 === 106 === This thesis applies optimal load shifting to microgrid power dispatch. First of all, a commercial software Solar Pro is used to create a solar PV system model and to simulate their power generation. The Weibull probability density distribution is used to create a wind speed model and calculate its power generation. Then, this paper uses the fmincon, the built-in function of Matlab® for optimal load shifting of users. Users change their electricity consumption habit according to different time-of-use and dynamic electricity pricing to achieve the goal of stabilizing load curve. After that, in the case of meeting various operational restrictions and making full use of renewable energy, the microgrid integrates the optimized load and joins the battery energy storage system, and applies the particle swarm optimization (PSO) algorithm to microgrid power dispatch. Simulation results show that the proposed method can reduce the cost and may provide a valuable reference for real-time control and dispatch of a microgrid system.
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Tsai-Hsiang Chen |
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Tsai-Hsiang Chen Yu-Chen Husan 宣宇晨 |
author |
Yu-Chen Husan 宣宇晨 |
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Yu-Chen Husan 宣宇晨 Study on Microgrid Power Dispatch by Optimal Load Shifting |
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Yu-Chen Husan |
title |
Study on Microgrid Power Dispatch by Optimal Load Shifting |
title_short |
Study on Microgrid Power Dispatch by Optimal Load Shifting |
title_full |
Study on Microgrid Power Dispatch by Optimal Load Shifting |
title_fullStr |
Study on Microgrid Power Dispatch by Optimal Load Shifting |
title_full_unstemmed |
Study on Microgrid Power Dispatch by Optimal Load Shifting |
title_sort |
study on microgrid power dispatch by optimal load shifting |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/6mj797 |
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