Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm
碩士 === 國立成功大學 === 電機工程學系 === 104 === The challenges of increasing power demand and environmental problems have directed extensive attention to the usage of renewable energy, especially photovoltaic (PV) systems. However, high penetration of PV generation drastically affects the voltage of distributi...
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ndltd-TW-104NCKU54421062017-10-01T04:30:04Z http://ndltd.ncl.edu.tw/handle/34978486050757996717 Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm 運用電子飄移演算法於配電系統儲能容量最佳化規劃 Yung-ShengChuang 莊詠盛 碩士 國立成功大學 電機工程學系 104 The challenges of increasing power demand and environmental problems have directed extensive attention to the usage of renewable energy, especially photovoltaic (PV) systems. However, high penetration of PV generation drastically affects the voltage of distribution systems, which may limit the growth and the development of PV systems. Consequently, an effective voltage control method is necessary to mitigate overvoltage problems and to increase the hosting capacity of PV systems. This thesis utilizes an energy storage system (ESS) to eliminate voltage rise problems and proposes a dual-loop optimization method to determine the optimal capacities and inverter sizes of ESSs. ESSs can thus reduce feed-in active power curtailment of PV systems. In the inner loop of the optimization, for a specified ESS capacity the daily active and reactive power scheduling, including on-load tap changer, PV, and ESS, are optimized by an electron drifting algorithm (EDA). The outer loop uses an EDA to optimize the ESS capacities and the inverter sizes. To verify the feasibility of the proposed optimization method, real PV power generation data and load profiles are used to analyze the economic benefits of the proposed method. Moreover, three different kinds of electricity tariff structures are used to analyze the economic benefits. With the optimal capacity of energy storage system determined, simulation results also show that the optimized policy produces more economic benefits than other policies produce. Hong-Tzer Yang 楊宏澤 2016 學位論文 ; thesis 64 en_US |
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碩士 === 國立成功大學 === 電機工程學系 === 104 === The challenges of increasing power demand and environmental problems have directed extensive attention to the usage of renewable energy, especially photovoltaic (PV) systems. However, high penetration of PV generation drastically affects the voltage of distribution systems, which may limit the growth and the development of PV systems. Consequently, an effective voltage control method is necessary to mitigate overvoltage problems and to increase the hosting capacity of PV systems.
This thesis utilizes an energy storage system (ESS) to eliminate voltage rise problems and proposes a dual-loop optimization method to determine the optimal capacities and inverter sizes of ESSs. ESSs can thus reduce feed-in active power curtailment of PV systems. In the inner loop of the optimization, for a specified ESS capacity the daily active and reactive power scheduling, including on-load tap changer, PV, and ESS, are optimized by an electron drifting algorithm (EDA). The outer loop uses an EDA to optimize the ESS capacities and the inverter sizes.
To verify the feasibility of the proposed optimization method, real PV power generation data and load profiles are used to analyze the economic benefits of the proposed method. Moreover, three different kinds of electricity tariff structures are used to analyze the economic benefits. With the optimal capacity of energy storage system determined, simulation results also show that the optimized policy produces more economic benefits than other policies produce.
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author2 |
Hong-Tzer Yang |
author_facet |
Hong-Tzer Yang Yung-ShengChuang 莊詠盛 |
author |
Yung-ShengChuang 莊詠盛 |
spellingShingle |
Yung-ShengChuang 莊詠盛 Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm |
author_sort |
Yung-ShengChuang |
title |
Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm |
title_short |
Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm |
title_full |
Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm |
title_fullStr |
Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm |
title_full_unstemmed |
Optimal Energy Storage Capacity Planning in Distribution System via Electron-Drifting Algorithm |
title_sort |
optimal energy storage capacity planning in distribution system via electron-drifting algorithm |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/34978486050757996717 |
work_keys_str_mv |
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