Determination Method of Optimal Planning and Operation for Residential PV System and Storage Battery Based on Weather Forecast

被引：0

作者：

Suzuki, Ryota ^{[1
]}

Hayashi, Yasuhiro ^{[1
]}

Fujimoto, Yu ^{[2
]}

机构：

[1] Waseda Univ, Tokyo, Japan

[2] Waseda Univ, Inst Nanosci & Nanotechnol, Tokyo, Japan

来源：

2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON) | 2012年

关键词：

Photovoltaic power generation system; Battery energy storage system; Weather forecast; Home energy management system;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper proposes a computation method to determine a optimal planning and operation of residential Photovoltaic Power Generation systems (PV systems) and Battery Energy Storage Systems (BESS) based on the weather forecast to each customer. In this proposed method, the optimal planning and operation are decided by changing the amount of charge in the BESS in midnight when the electric rate is cheap. This proposed method can determine the optimal planning (determination of optimal rating capacities of PV and BESS) and the optimal operation (determination of three values of the amount of charge at midnight on sunny day, cloudy day and rainy day) so as to minimize the annual cost of the household. In order to check the effectiveness of the proposed method, the optimal planning and the operation are compared on the data of two years.

引用

页码：343 / 347

页数：5

共 50 条

[1] Effect of PV Output and Load Power Forecast Error on Operation Design of PV System with Storage Battery
Hayashi, Takayoshi
Shimoo, Takahiro
Wakao, Shinji
[J]. ELECTRICAL ENGINEERING IN JAPAN, 2015, 190 (01) : 28 - 36
[2] Optimal Charge/Discharge Scheduling of Battery Storage Interconnected With Residential PV System
Kapoor, Aastha
Sharma, Ankush
[J]. IEEE SYSTEMS JOURNAL, 2020, 14 (03): : 3825 - 3835
[3] Application of Battery Energy Storage System to Power System Operation for Reduction in PV Curtailment Based on Few-hours-ahead PV Forecast
Masuta, Taisuke
da Silva Fonseca Junior, Joao Gari
Ootake, Hideaki
Murata, Akinobu
[J]. 2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2016,
[4] Determination of Optimal Operation Plans of Fuel Cell System in Residential House with PV System
Taniguchi, Y.
Fujimoto, Y.
Hayashi, Y.
[J]. 2012 IEEE INTERNATIONAL CONFERENCE ON POWER AND ENERGY (PECON), 2012, : 110 - 115
[5] Determination of optimal battery energy storage system capacity for commercial electricity consumers with photovoltaic systems by integrating battery aging and PV forecast uncertainty
Chayarun, Pongdanai
Kawabe, Kenichi
Nanahara, Toshiya
[J]. IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING, 2021, 16 (02) : 226 - 237
[6] Optimal battery storage operation for PV systems with tariff incentives
Hassan, Abubakar Sani
Cipcigan, Liana
Jenkins, Nick
[J]. APPLIED ENERGY, 2017, 203 : 422 - 441
[7] Profiling Residential PV Output based on Weekly Weather Forecast for Home Energy Management System
Niimura, T.
Ozawa, K.
Yamashita, D.
Yoshimi, K.
Osawa, M.
[J]. 2012 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2012,
[8] Enhancing Battery Lifetime In PV Battery Home Storage System Using Forecast Based Operating Strategies
Angenendt, Georg
Zurmuehlen, Sebastian
Mir-Montazeri, Ramin
Magnor, Dirk
Sauer, Dirk Uwe
[J]. 10TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE, IRES 2016, 2016, 99 : 80 - 88
[9] Comparison of different operation strategies for PV battery home storage systems including forecast-based operation strategies
Angenendt, Georg
Zurmuehlen, Sebastian
Axelsen, Hendrik
Sauer, Dirk Uwe
[J]. APPLIED ENERGY, 2018, 229 : 884 - 899
[10] A novel forecast-based operation strategy for residential PV-battery-flexible loads systems considering the flexibility of battery and loads
Luo, Zhengyi
Peng, Jinqing
Tan, Yutong
Yin, Rongxin
Zou, Bin
Hu, Maomao
Yan, Jinyue
[J]. ENERGY CONVERSION AND MANAGEMENT, 2023, 278

← 1 2 3 4 5 →