Journal of Shandong University(Engineering Science) ›› 2018, Vol. 48 ›› Issue (5): 131-136.doi: 10.6040/j.issn.1672-3961.0.2018.270

• Electrical Engineering • Previous Articles    

PV installed capacity planning for power distribution network based on time series production simulation

Shizhan SONG1,Chuanyong WANG1(),Wenwen KANG1,Jian ZHANG1,Honghua YAN2,*(),Peng LI2   

  1. 1. State Grid Zaozhuang Power Supply Company, Zaozhuang 277800, Shandong, China
    2. Shandong Green Power Tech Co., Ltd., Jinan 250061, Shandong, China
  • Received:2018-07-04 Online:2018-10-01 Published:2018-07-04
  • Contact: Honghua YAN E-mail:15266172927@163.com;sdgrtech@163.com
  • Supported by:
    国网山东省电力公司科技资助项目(2017A82)

Abstract:

Based on time series production simulation, an optimization model was built to optimize PV installed capacity for distribution network with integration of wind and solar power. The optimal installed capacity of the photovoltaic system was given according to the different wind/PV curtailment ratios. Simulations revealed that the proposed planning method guaranteed the reasonable revenue of wind power/PV and maximized the integration of PV generation with a certain level of wind/PV curtailment ratio, which improved utilization level of renewable energy generation.

Key words: renewable energy, wind/PV curtailment, distribution network, PV planning, time series production simulation

CLC Number: 

  • TM615

Fig.1

Flow chart of PV installed capacity planning"

Fig.2

Load sequence in 2016"

Fig.3

Normalized data of theoretical wind power"

Fig.4

Normalized data of theoretical PV power"

Fig.5

Normalized curve of theoretical wind/PV mean daily power"

Fig.6

Wind/PV theoretical utilization hours"

Table 1

PV capacity, generation and curtailment ration under different scenarios"

场景 SPV/MW EPV0/(GW·h) EPV/(GW·h) EPVC/(GW·h) EWC/(GW·h) ETC/(GW·h)
1 31.87 32.75 32.75 0.00 0.00 0.00
2 52.07 53.51 53.43 0.07 0.79 0.87
3 68.20 70.07 67.67 2.40 2.68 5.08
4 82.82 85.10 77.50 7.60 3.97 11.57
5 96.40 99.05 84.66 14.39 5.00 19.39

Fig.7

Iteration process of scenario 3"

Fig.8

Power area stacking diagram in Feb. 26 under scenario 3"

Fig.9

Monthly curtailment generation of wind"

Fig.10

Monthly curtailment generation of PV"

1 舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37 (1): 1- 9.
SHU Yinbiao , ZHANG Zhigang , GUO Jianbo , et al. Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37 (1): 1- 9.
2 国家发展和改革委员会.中国可再生能源发展路线图2050[R].北京:国家发展和改革委员会, 2014.
3 国家电力调度控制中心.国家电网2015年新能源并网运行情况报告[R].北京:国家电力调度控制中心, 2016.
4 MASHHOUR M, COLKAR M A, TAFRESHI S. Optimal sizing and siting of distributed generation in radial distribution network: comparison of unidirectional and bidirectional power flow scenario[C]//IEEE Bucharest PowerTech Conference. Bucharest, Romania: IEEE, 2009: 1-8.
5 夏澍, 周明, 李庚银, 等. 分布式电源选址定容的多目标优化算法[J]. 电网技术, 2011, 35 (9): 115- 121.
XIA Shu , ZHOU Ming , LI Gengyin , et al. Multi-objective optimization algorithm for distributed generation locating and sizing[J]. Power System Technology, 2011, 35 (9): 115- 121.
6 HEDAYATI H , NAVAVINIAKI S A , AKBARIMAJD A . A method for placement of DG units in distribution network[J]. IEEE Transactions on Power Delivery, 2008, 3 (3): 1620- 1628.
7 ZHANG Jietan, PANG Shun, TIAN Haiqing, et al. Siting and sizing of distributed wind generation under active management mode[C]//International Conference on Power System Technology. Hangzhou: IEEE, 2010: 1-8.
8 SHENG Siqing, TIAN Ying, ZOU Yuan, et al. A simplified PSO algorithm for sizing and siting distributed generation[C]//International Conference on Materials for Renewable Energy & Environment. Shanghai: IEEE, 2011: 1529-1533.
9 魏磊, 姜宁, 于广亮, 等. 宁夏电力系统接纳新能源能力研究[J]. 电网技术, 2010, 34 (11): 176- 181.
WEI Lei , JIANG Ning , YU Guangliang , et al. Research on Ningxia power grid's ability of admitting new energy resources[J]. Power System Technology, 2010, 34 (11): 176- 181.
10 孙荣富, 张涛, 梁吉. 电网接纳风电能力的评估及应用[J]. 电力系统自动化, 2011, 35 (4): 70- 76.
SUN Rongfu , ZHANG Tao , LIANG Ji . Evaluation and application of wind power integration capacity in power grid[J]. Automation of Electric Power Systems, 2011, 35 (4): 70- 76.
11 DOBAKHSHARI A S , FOTUHI-FIRUZABAD M . A reliability model of large wind farms for power system adequacy studies[J]. IEEE Transactions on Energy Conversion, 2009, 24 (3): 792- 801.
doi: 10.1109/TEC.2009.2025332
12 BUENO C , CARTA J A . Technical-economic analysis of wind-powered pumped hydrostorage systems part Ⅰ: model development[J]. Solar Energy, 2005, 78 (3): 382- 395.
doi: 10.1016/j.solener.2004.08.006
13 BUENO C , CARTA J A . Technical-economic analysis of wind-powered pumped hydrostorage systems part Ⅱ: model application to the island of EI Hierro[J]. Solar Energy, 2005, 78 (3): 396- 405.
doi: 10.1016/j.solener.2004.08.007
14 李驰.基于波动特性的新能源出力时间序列建模方法研究[D].北京:中国电力科学研究院, 2015: 60-73.
LI Chi. Study on the modeling method of new energy power time series based on fluctuation characteristics[D]. Beijing: China Electric Power Research Institute, 2015: 60-73.
15 董存, 李明节, 范高锋, 等. 基于时序生产模拟的新能源年度消纳能力计算方法及其应用[J]. 中国电力, 2015, 48 (12): 166- 172.
DONG Cun , LI Mingjie , FAN Gaofeng , et al. Research and application of renewable energy accommodation capability evaluation based on time series production simulation[J]. Electric Power, 2015, 48 (12): 166- 172.
16 崔红芬, 汪春, 叶季蕾, 等. 多接入点分布式光伏发电系统与配电网交互影响研究[J]. 电力系统保护与控制, 2015, 43 (10): 91- 97.
doi: 10.7667/j.issn.1674-3415.2015.10.015
CUI Hongfen , WANG Chun , YE Jilei , et al. Research of interaction of distributed PV system with multiple access points and distribution network[J]. Power System Protection and Control, 2015, 43 (10): 91- 97.
doi: 10.7667/j.issn.1674-3415.2015.10.015
17 AKOUEMO H N , POVINELLI R J . Data improving in time series using ARX and ANN models[J]. IEEE Transactions on Power Systems, 2017, 32 (5): 3352- 3359.
doi: 10.1109/TPWRS.2017.2656939
18 LI Wenyuan , ZHOU Jiaqi , XIE Kaigui , et al. Power system risk assessment using a hybrid method of fuzzy set and Monte Carlo simulation[J]. IEEE Transactions on Power Systems, 23 (2): 336- 343.
doi: 10.1109/TPWRS.2008.919201
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