Skip Navigation Links.
American Journal of Electrical and Electronic Engineering. 2019, 7(1), 18-23
DOI: 10.12691/AJEEE-7-1-4
Original Research

Research on Prosumer Combining Household Electricity, Electric Vehicle Home Charging and Photovoltaic Power Generation

Jiashu Wang1, , Ying Wang1, Zetian Zhong1 and Gang Ma1

1Electrical & Automation Engineering, Nanjing Normal University, Nanjing, China

Pub. Date: June 13, 2019
Full Text PDF

Cite this paper

Jiashu Wang, Ying Wang, Zetian Zhong and Gang Ma. Research on Prosumer Combining Household Electricity, Electric Vehicle Home Charging and Photovoltaic Power Generation. American Journal of Electrical and Electronic Engineering. 2019; 7(1):18-23. doi: 10.12691/AJEEE-7-1-4

Abstract

Nowadays, the situation of environmental pollution is increasing, energy is getting more and more tight, and traditional fossil energy can no longer meet people's needs. Solar energy has received extensive attention because of its clean and safe characteristics. This paper combines the three-point practical model of photovoltaic(PV) power generation, the Bernoulli model of electric vehicle(EV) home charging and the Weibull distribution model of household electricity to form the Prosumer probability distribution model, and analyze the daily power fluctuations in different scenarios. Then based on the IEEE33 node system, considering the access of the PV system, the influence of the Prosumer access on the voltage offset and network loss of the distribution network node at different times is analyzed. The results show that the family access to the PV system can effectively reduce the voltage offset and the total network loss of the line.

Keywords

Prosumer, photovoltaic power generation, electric vehicles, household electricity

Copyright

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

References

[1]  Wang Bohua, "Development of Photovoltaic Industry in China: Review in 2018 and Prospect in 2019," Available: http://www.nengyuanjie.net/article/22816.html, [Accessed: Jan. 17, 2019].
 
[2]  Xu Guyang, Tang Wei, Cai Yongxiang, Sheng Wanxing, Yu Lingfeng, "High-Ratio Household PV Reactive Power Control Strategy for Low Voltage Distribution Network Based on Fuzzy Logic," Automation of Electric Power Systems, 41(23): 89-95, 2017.
 
[3]  Xia K , He Z , Yuan Y," An arc fault detection system for the household PV inverter according to the DC bus currents," in International Conference on Electrical Machines & Systems, IEEE, 2016.
 
[4]  Jin Liming, Zhou Ning, Feng Li, Fan Fei, Zhao Yuan," Study on time series probability model of PV power generation system," Electric Power Construction, 37(07): 27-32, 2016.
 
[5]  Wang Y, Lin X, Pedram M," A Near-Optimal Model-Based Control Algorithm for Households Equipped With Residential PV Power Generation and Energy Storage Systems," IEEE Transactions on Sustainable Energy, 7(1): 77-86, 2016.
 
[6]  Zhang Wei, Kang Chongqing, Zhang Ning, Huang Yuehui, Liu Chun, Xu Jianfei, “Medium and Long Term Random Characteristic Analysis of Solar Photovoltaic Power Generation,” Automation of Electric Power Systems, 38(6): 6-13, 2014.
 
[7]  Wu Zhenwei, Jiang Xiaoping, Ma Huimeng, Ma Suliang, Study on Fluctuation Characteristics of PV Output on Multiple Time Scales,” Modern Electric Power, 31(1): 58-61, 2014.
 
[8]  Jia Long, Hu Zechun, Song Yonghua, Ding Huajie, "Study on joint planning of energy storage and EV charging station and distribution network," Journal of Electrical Engineering of China, 37(01): 73-84, 2017.
 
[9]  Ding Ming, Shi Shengliang, Pan Hao, Wang Min, Yao Yuliang," The AC/DC Hybrid Microgrid Planning with EV Charging Load," Automation of Electric Power Systems, 42(01):32-38+81,2018.
 
[10]  Qi Xianjun, Li Dongwei, Ji Shuyan, "Power-limited orderly charging control strategy for residential EVs," Power grid technology, 40 (12): 3715-3721, 2016.
 
[11]  Chen Lidan, Nie Yongquan, Zhong Qing," EV Charging Load Forecasting Model Based on Travel Chain," Journal of Electrical Technology, 2015, 30 (04): 216-225.
 
[12]  Xu Qingshan, Cai Tingting, Liu Yujun, Yao Liangzhong, Zeng Pingliang," Location planning of EV charging station considering driver behavior and travel chain," Power system automation,40 (04): 59-65+77, 2016.
 
[13]  Chen Dongpo,"Review and Prospect of China's PV Market in 2017-2018," Electronic Products World, 25(04):11-13, 2018.
 
[14]  Chukwuka V, Nazari M H, Grijalva S, "Enhancing communications reliability in prosumer-based smart grid using MIMO techniques," Power Systems Conference, 2016.
 
[15]  Abbas M, Kiseon K, "Low-Complexity Charging/Discharging Scheduling for EVs at Home and Common Lots for Smart Households Prosumers," IEEE Transactions on Consumer Electronics, 2018.
 
[16]  Vialetto G, Noro M, Rokni M, "Combined micro-cogeneration and EV system for household application: An energy and economic analysis in a Northern European climate," International Journal of Hydrogen Energy, 2017.
 
[17]  Munkhammar J, Bishop J D K, Sarralde J J, "Household electricity use, EV home-charging and distributed PV power production in the city of Westminster," Energy & Buildings, 86: 439-448, 2015.
 
[18]  Munkhammar J, Rydén J, Widén J," Characterizing probability density distributions for household electricity load profiles from high-resolution electricity use data," Applied Energy, 135: 382-390, 2014.
 
[19]  He Ruotai, Liu Cheng,Wang Ying, Zhao Rui., "Analysis of time and space characteristics of the influence of disordered charging of EVs on distribution network based on travel chain," Electrical Application, 37(21):29-35, 2018.
 
[20]  Chen Jingpeng, Ai Wei, Xiao Fei, "Planning of EV Charging Station Based on User Travel Demand," Electric Power Automation Equipment, 36(6): 34-39, 2016.
 
[21]  XU Qingshan, ZHAI Haixiang, YAN Haihong, "Establishment and Feasibility Study of Practical Model of Solar Radiation," Journal of Solar Energy, 32(8): 1180-1185, 2011.