«Previous Article|Table of Contents|Next Article»

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:

2024年1期

Page:

120-128

Research Field:

交通工程

Publishing date:

Info

Title:

Functional configuration method of expressway wind-solar energy self-consistent lighting

Author(s):

PENG Yu-hua;  TANG Na;  ZHU Xin-wei

(School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China)

Keywords:

traffic engineering;  method of capacity configuration;  reliability cost;  wind-solar energy;  expressway lighting

PACS:

U417

DOI:

10.19721/j.cnki.1671-8879.2024.01.011

Abstract:

To ensure the power supply reliability and economy of the self-consistent lighting system ofwind-solar energy, based on the meteorological daily values of wind speed andhorizontal irradiance for many years, the monthly average wind speed and monthly averageirradiance indicators were selected to compare the characteristics of wind-solar energy in the same month for many years, the months in which both were extremely small form themost unfavorable January to December of the wind-solar energy for many years. And the basic dataset of meteorological design parameters were constructed for the power generationfacilities of the wind-solar energy self-consistent system with its hourly data of wind speed,horizontal irradiance and temperature. The maximum continuous days of continuous extremeweak wind-solar weather based on the daily average wind speed were less than the windgenerator starting wind speed and the daily clear sky index K_DCI<0.2 as the screeningconditions, which was used as the meteorological design parameters for the configuration ofenergy storage facilities in the self-consistent lighting system of wind-solar energy.In accordance with single light pole electricity consumption, working performance of windgenerator/PV panel/energy storage facilities, the configuration constraints of power generationand energy storage facilities were the charging and discharging status of energy storagefacilities, the system power supply reliability of continuous extreme weak wind-solar weatherand the most unfavorable months of wind-solar energy for many years, the configurationtarget was the lowest total cost of construction and operation and maintenance of wind-solarenergy self-consistent lighting system, the capacity configuration of wind generator/PV panel/energy storage facilities model was constructed. The mathematical model of windgenerator/PV panel/energy storage facilities capacity configuration was developed, and thefunctional configuration method of highway wind-solar energy self-consistent lighting withreliability cost was formed. The functional configuration of wind-solar energy self-consistentlighting was completed with Kunming Changlong Expressway lighting project as the object. The resultsshow that in terms of the characteristics of wind-solar energy in Kunming, the single lightconfiguration of the wind-solar energy self-consistent lighting system is 300 W windgenerator+600 W PV panel+12 V 4×200 Ah lead-acid battery, compared with the thermalpower generation supply, in 20 years, it can save electricity by 6.64×10⁶ kW?h, reduce the totalcost of construction and operation by 2.887 million yuan, and reduce CO₂emission by 5 340 t.7 tabs, 6 figs, 24 refs.

References:

[1] 黄弦超.计及可控负荷的独立微网分布式电源容量优化[J].中国电机工程学报,2018,38(7):1962-1970.
HUANG Xian-chao.Capacity optimization of distributed power supply in independent microgrid considering controllable load[J].Proceedings of the CSEE,2018,38(7):1962-1970.
[2]丁 明,王 波,赵 波,等.独立风光柴储微网系统容量优化配置[J].电网技术,2013,37(3):575-581.
DING Ming,WANG Bo,ZHAO Bo,et al.Configuration optimization of capacity of standalone PV-wind-diesel-battery hybrid microgrid[J].Power System Technology,2013,37(3):575-581.
[3]陈 天,蔡泽祥,谢 鹏,等.基于改进微分进化算法的风光互补系统发电容量优化配置[J].电力科学与技术学报,2017,32(3):22-28.
CHEN Tian,CAI Ze-xiang,XIE Peng,et al.Capacity optimization of wind/solar hybrid power generation system based on improved differential evolution algorithm[J].Journal of Electric Power Science and Technology,2017,32(3):22-28.
[4]刘晓明,牛新生,张 怡,等.基于NASA观测数据的风电出力时空分布及波动特性分析[J].山东大学学报(工学版),2016,46(4):111-116,124.
LIU Xiao-ming,NIU Xin-sheng,ZHANG Yi,et al.Analysis of spatial and temporal distribution of wind power output and variation characteristics based on NASA observation data[J].Journal of Shandong University(Engineering Science),2016,46(4):111-116,124.
[5]KASSEM Y,GOKCEKUS H,JANBEIN W.Predictive model and assessment of the potential for wind and solar power in Rayak Region,Lebanon[J].Modeling Earth Systems and Environment,2020,7(3):1475-1502.
[6]修春波,任 晓,李艳晴,等.基于卡尔曼滤波的风速序列短期预测方法[J].电工技术学报,2014,29(2):253-259.
XIU Chun-bo,REN Xiao,LI Yan-qing,et al.Short-term prediction method of wind speed series based on Kalman filtering fusion[J].Transactions of China Electrotechnical Society,2014,29(2):253-259.
[7]应飞祥,张恩睦,李 琰,等.含风光互补的独立发电系统可靠性评估[J].昆明理工大学学报(自然科学版),2019,44(6):71-81.
YING Fei-xiang,ZHANG En-mu,LI Yan,et al.Reliability evaluation of independent power generation system with wind-solar complementarity[J].Journal of Kunming University of Science and Technology(Natural Sciences),2019,44(6):71-81.
[8]BENMOUIZA K,CHEKNANE A.Small-scale solar radiation forecasting using ARMA and nonlinear autoregressive neural network models[J].Theoretical & Applied Climatology,2016,124(3/4):945-958.
[9]胡林献,顾雅云,姚友素.并网型风光互补系统容量优化配置方法[J].电网与清洁能源,2016,32(3)120-126.
HU Lin-xian,GU Ya-yun,YAO You-su.Optimal capacity configuration method for grid-connected wind-solar complementary power system[J].Advances of Power System & Hydroelectric Engineering,2016,32(3)120-126.
[10]胡 滢,臧大进,张 勇,等.基于知识融合PSO的风光互补发电系统优化[J].控制工程,2019,26(5):799-805.
HU Ying,ZANG Da-jin,ZHANG Yong,et al.Wind-light generation system optimization based on knowledge fusion PSO algorithm[J].Control Engineering of China,2019,26(5):799-805.
[11]赵星虎,张会林.计及风光出力相关性的风光互补发电系统优化[J].软件导刊,2021,20(5):82-85.
ZHAO Xing-hu,ZHANG Hui-lin.Capacity optimization of wind/PV hybrid power generation considering output correlation of wind turbines and photovoltaic units[J].Software Guide,2021,20(5):82-85.
[12]YANG X,LONG J,LIU P,et al.Optimal scheduling of microgrid with distributed power based on water cycle algorithm[J].Energies,2018,11(9):2381-2399.
[13]吕智林,谭 颖,李 捷,等.基于Markov-ELM的独立混合微网分布式电源多目标容量优化配置[J].中国电机工程学报,2017,37(7):1927-1936.
LU Zhi-lin,TAN Ying,LI Jie,et al.Multi-objective optimal sizing for distributed generation of isolated hybrid microgrid using Markov-based electromagnetism-like mechanism[J].Proceedings of the CSEE,2017,37(7):1927-1936.
[14]ZHAI J,HE W,HUA G,et al.GSA based optimal capacity configuration of wind-solar-storage system in microgrid[C]//ZHANG C H,SU M,JIA H J,et al.Proceedings of 2017 Chinese Automation Congress(CAC).New York:IEEE,2017:3224-3229.
[15]HLAL M I,RAMACHANDARAMURTHY V K,NAGI F H,et al.Optimal techno-economic design of standalone hybrid renewable energy system using genetic algorithm[C]//TONG C W,CHINTSAN W,HUAT B.Proceedings of International Conference on Sustainable Energy and Green Technology.Kuala Lumpur:IOP Publishing,2019:1-9.
[16]李 品,刘永前,郭伟钊.离网型风光储互补发电系统优化设计方法研究[J].现代电力,2010,27(6):51-57.
LI Pin,LIU Yong-qian,GUO Wei-zhao.Study on optimal design method for stand-alone wind/solar/battery hybrid power system[J].Modern Electric Power,2010,27(6):51-57.
[17]朱红路,刘珠慧.环境因素影响下的光伏系统出力特性分析[J].华北电力技术,2014(8):50-55.
ZHU Hong-lu,LIU Zhu-hui.PV system output analysis of environmental factors affect[J].North China Electric Power,2014(8):50-55.
[18]GB/T 37526—2019,太阳能资源评估方法[S].
GB/T 37526—2019,Assessment method for solar energy resource[S].
[19]宗炫君,袁 越,蒋 科,等.基于晴空指数与波动特性的光伏电站可靠性分析[J].电力工程技术,2019,38(1):36-41.
ZONG Xuan-jun,YUAN Yue,JIANG Ke,et al.Reliability analysis of photovoltaic power station based on clear sky index and fluctuation characteristics[J].Electric Power Engineering Technology,2019,38(1):36-41.
[20]陆 丹,袁 越,杨 苏.基于马尔可夫链蒙特卡洛法的独立风光柴储微网运行风险评估[J].电网技术,2017,41(3):823-830.
LU Dan,YUAN Yue,YANG Su.Operational risk assessment of independent wind-light storage microgrid based on Markov chain Monte Carlo method[J].Power System Technology,2017,41(3):823-830.
[21]李 芬,林逸伦,王仁奎,等.基于天气类型有效识别的太阳辐射推算方法[J].电力自动化设备,2021,41(8):76-81.
LI Fen,LIN Yi-lun,WANG Ren-kui,et al.Estimation method of solar radiation based on effective classification of weather types[J].Electric Power Automation Equipment,2021,41(8):76-81.
[22]SHANEH M,SHAHINZADEH H,MOAZZAMI M,et al.Optimal sizing and management of hybrid renewable energy system for highways lighting[J].International Journal of Renewable Energy Research,2018,8(4):2336-2349.
[23]齐志远,郭佳伟,李晓炀.基于联合概率分布的风光互补发电系统优化配置[J].太阳能学报,2018,39(1):203-209.
QI Zhi-yuan,GUO Jia-wei,LI Xiao-yang.Optimal configuration for wind power and solar power hybrid systems based on joint probability distribution of wind speed with solar irradiance[J].Acta Energiae Solaris Sinica,2018,39(1):203-209.
[24]HGZ-120—2011,市政工程设施养护维修估算指标[S].
HGZ-120—2011,Estimation index of municipal engineering facilities maintenance[S].

Memo

Memo:

-

Common functions

Last Update: 2024-01-10