基于自适应遗传算法的分布式综合能源系统优化设计
|
摘要
针对分布式综合能源系统的非线性特征,构建了基于自适应遗传算法的系统优化模型,以系统最小成本为目标优化函数,同时考虑到系统的环保指标和运行可靠性等因素,运用MATLAB软件针对东南沿海一旅游岛屿进行了为期一年的动态运行仿真。研究结果表明:采用优化后的分布式综合能源系统发电成本仅0.8元/KW·h,而单一柴油发电机发电成本达到3.236元/KW·h。在提高系统供电可靠性的同时,大大降低了发电系统的运营成本。系统污染物排放量也得到了大幅降低,相较于单一柴油机发电形式,新的分布式综合能源发电系统的污染排放可以忽略不计,因此可很大程度改善岛上环境。
Aiming at the nonlinear characteristics of distributed integrated energy system,a system optimization model based on adaptive genetic algorithm is proposed in this paper.Taking the system minimum cost as the objective optimization function and considering the environmental protection indexes and operational reliability of the system,the operation of the energy system of a tourist island off the southeast coast in China is dynamically simulated by means of MATLAB for a year.The results show that the cost of power generation using the optimized distributed integrated energy system is only 0.8 yuan/KWh,while that of a single diesel generator reaches 3.236 yuan/KWh.While improving the reliability of the system power supply,the new distributed integrated energy system greatly reduces the operating cost of power generation system and also reduces the systematic pollutant emissions.Compared to the sole diesel generation mode,the emissions from the new distributed integrated energy system are negligible,thus greatly improving the island's environment.
Aiming at the nonlinear characteristics of distributed integrated energy system,a system optimization model based on adaptive genetic algorithm is proposed in this paper.Taking the system minimum cost as the objective optimization function and considering the environmental protection indexes and operational reliability of the system,the operation of the energy system of a tourist island off the southeast coast in China is dynamically simulated by means of MATLAB for a year.The results show that the cost of power generation using the optimized distributed integrated energy system is only 0.8 yuan/KWh,while that of a single diesel generator reaches 3.236 yuan/KWh.While improving the reliability of the system power supply,the new distributed integrated energy system greatly reduces the operating cost of power generation system and also reduces the systematic pollutant emissions.Compared to the sole diesel generation mode,the emissions from the new distributed integrated energy system are negligible,thus greatly improving the island's environment.
引文
[1]胡江渝,何荥.混合风力-太阳能发电系统在山地城市中的利用策略[J].四川建筑科学研究,2014,40(5):313-316.HU Jiangyu,HE Ying.The hybrid wind solar power sys-tem in mountain city by strategy[J].Sichuan Building Sci-ence,2014,40(5):313-316.
[2]刘永康,王飞,黄洪文,等.次临界能源包层严重事故缓解系统[J].强激光与粒子束,2015,27(1):242-246.LIU Yongkang,WANG Fei,HUANG Hongwen,et al.Crit-ical energy cladding severe accident mitigation system[J].High Power Laserand Particle Beams,2015,27(1):242-246.
[3]刘振国,胡亚平,陈炯聪,等.基于双层优化的微电网系统规划设计方法[J].电力系统保护与控制,2015,43(8):124-133.LIU Zhenguo,HU Yaping,CHEN Jiongcong,et al.Plan-ning and design method of microgrid system based on bilevel optimization[J].Power System Protection and Con-trol,2015,43(8):124-133.
[4]DE MIGUEL A,BILBAO J,AGUIAR R.Diffuse solar ir-radiation model evaluation in the North Mediterranean beltarea[J].Sol Energy,2011,70(2):143-153.
[5]姜东升,张沛.平流层飞艇混合能源系统设计及能源管理研究[J].电源技术,2015,39(9):1916-1918,1925.JIANG Dongsheng,ZHANG Pei.Research on stratospher-ic airship hybrid energy system design and energy manage-ment[J].Power Technology,2015,39(9):1916-1918,1925.
[6]吉平,周孝信,宋云亭,等.区域可再生能源规划模型述评与展望[J].电网技术,2013,37(8):2071-2079.JI Ping,ZHOU Xiaoxin,SONG Yunting,et al.Review andProspect of regional renewable energy planning model[J].Power System Technology,2013,37(8):2071-2079.
[7]陈金兰,陈尊荣.基于改进遗传算法的稳健可靠性优化设计[J].机械研究与应用,2015,28(4):54-56.CHEN Jinlan,CHEN Zunrong.Robust reliability optimiza-tion design based on improved genetic algorithm[J].Me-chanical Research and Application,2015,28(4):54-56.
[8]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.ZENG Ming,YANG Yongqi,LIU Dunnan,et al.Energy Internet“source-network-charge-storage”coordinated optimization operation mode and key technology[J].Power System Technology,2016,40(1):114-124.
[9]ZHOU W,YANG HX,FANG ZH.A novel model for photovoltaic array performance prediction[J].Applied Energy,2012,84(12):1187-1198.
[10]徐青山,曾艾东,王凯,等.基于Hessian内点法的微型能源网日前冷热电联供经济优化调度[J].电网技术,2016,40(6):1657-1665.XU Qingshan,ZENG Ai Dong,WANG Kai,et al.Interior point method Hessian micro energy network,CCHP economic dispatch based on[J].Power System Technology,2016,40(6):1657-1665.
[11]谷鹏,石国萍.基于遗传算法的电力系统综合负荷模型的建模与仿真[J].节能,2010,29(9):9-13,2.GU Peng,SHI Guoping.Modeling and Simulation of power system comprehensive load model based on genetic algorithm[J].Energy Conservation,2010,29(9):9-13,2.
[12]Mellit.Application of genetic algorithm and neural network for sizing of hybrid photovoltaic wind power generation(HPVWPG)systems[J].Renewable Energy Technology,2009,1(2):139-154.
[13]刘永江,陈昊.电力配网系统无功优化方法研究[J].现代电子技术,2016,39(14):158-161,165.LIU Yongjiang,CHEN Hao.Study on reactive power optimization of power distribution network[J].Modern Electronic Technology,2016,39(14):158-161,165.
[14]张树卿,唐绍普,朱亚萍,等.多能微网阶段化多模式混合仿真关键技术综述[J].计算机研究与发展,2017,54(4):683-694.ZHANG Shuqing,TANG Shaopu,ZHU Yaping,et al.Multi microgrid stage research and development mode of key technologies of[J].Hybrid Simulation Computer,2017,54(4):683-694.
[15]杨永标,郑红娟,霍现旭,等.小型能源互联网多源优化综合评估技术研究[J].电器与能效管理技术,2017(8):53-60.YANG Yongbiao,ZHENG Hongjuan,HUO Xianxu,et al.Research on multi-source optimization and comprehensive evaluation technology of small energy Internet[J].Electrical and Energy Efficiency Management Technology,2017(8):53-60.
[16]魏荣宗,陈奕锠,黄立宁,等.混合能源发电系统装置容量优化设计[J].太原理工大学学报,2010,41(5):521-526.WEI Rongzong,CHEN Yichang,HUANG Lining,et al.Hybrid energy generation system capacity optimization design[J].Journal of Taiyuan University of Technology,2010,41(5):521-526.
[17]张永韡,汪镭,吴启迪.自然计算在九大高新技术领域的应用研究[J].微型电脑应用,2010,26(10):1-8.ZHANG Yongwei,WANG radium,WU Qidi.Research on the application of natural computing in nine high and new technology fields[J].Microcomputer Application,2010,26(10):1-8.
[18]李延平,刘莉.太阳能/氢能混合动力无人机及关键技术[J].飞航导弹,2014(7):39-45.LI Yanping,LIU Li.Solar/hydrogen hybrid unmanned aerial vehicle and key technologies[J].Flight Missile,2014(7):39-45.
[19]柯朝晖,彭雪华,徐敏.改进的遗传算法在配电网重构中的应用[J].科技广场,2016(1):42-45.KE Zhaohui,PENG Xuehua,XU Min.Application of improved genetic algorithm in distribution network reconfiguration[J].Science and Technology Plaza,2016(1):42-45.
[20]马艺玮,杨苹,吴捷,等.孤岛型混合可再生能源发电系统的优化设计[J].华南理工大学学报(自然科学版),2012,40(11):113-120.MA Yiwei,YANG Ping,WU Jie,et al.Optimal design of an island type hybrid renewable energy power generation system[J].Journal of South China University of Technology(Natural Science Edition),2012,40(11):113-120.
[2]刘永康,王飞,黄洪文,等.次临界能源包层严重事故缓解系统[J].强激光与粒子束,2015,27(1):242-246.LIU Yongkang,WANG Fei,HUANG Hongwen,et al.Crit-ical energy cladding severe accident mitigation system[J].High Power Laserand Particle Beams,2015,27(1):242-246.
[3]刘振国,胡亚平,陈炯聪,等.基于双层优化的微电网系统规划设计方法[J].电力系统保护与控制,2015,43(8):124-133.LIU Zhenguo,HU Yaping,CHEN Jiongcong,et al.Plan-ning and design method of microgrid system based on bilevel optimization[J].Power System Protection and Con-trol,2015,43(8):124-133.
[4]DE MIGUEL A,BILBAO J,AGUIAR R.Diffuse solar ir-radiation model evaluation in the North Mediterranean beltarea[J].Sol Energy,2011,70(2):143-153.
[5]姜东升,张沛.平流层飞艇混合能源系统设计及能源管理研究[J].电源技术,2015,39(9):1916-1918,1925.JIANG Dongsheng,ZHANG Pei.Research on stratospher-ic airship hybrid energy system design and energy manage-ment[J].Power Technology,2015,39(9):1916-1918,1925.
[6]吉平,周孝信,宋云亭,等.区域可再生能源规划模型述评与展望[J].电网技术,2013,37(8):2071-2079.JI Ping,ZHOU Xiaoxin,SONG Yunting,et al.Review andProspect of regional renewable energy planning model[J].Power System Technology,2013,37(8):2071-2079.
[7]陈金兰,陈尊荣.基于改进遗传算法的稳健可靠性优化设计[J].机械研究与应用,2015,28(4):54-56.CHEN Jinlan,CHEN Zunrong.Robust reliability optimiza-tion design based on improved genetic algorithm[J].Me-chanical Research and Application,2015,28(4):54-56.
[8]曾鸣,杨雍琦,刘敦楠,等.能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J].电网技术,2016,40(1):114-124.ZENG Ming,YANG Yongqi,LIU Dunnan,et al.Energy Internet“source-network-charge-storage”coordinated optimization operation mode and key technology[J].Power System Technology,2016,40(1):114-124.
[9]ZHOU W,YANG HX,FANG ZH.A novel model for photovoltaic array performance prediction[J].Applied Energy,2012,84(12):1187-1198.
[10]徐青山,曾艾东,王凯,等.基于Hessian内点法的微型能源网日前冷热电联供经济优化调度[J].电网技术,2016,40(6):1657-1665.XU Qingshan,ZENG Ai Dong,WANG Kai,et al.Interior point method Hessian micro energy network,CCHP economic dispatch based on[J].Power System Technology,2016,40(6):1657-1665.
[11]谷鹏,石国萍.基于遗传算法的电力系统综合负荷模型的建模与仿真[J].节能,2010,29(9):9-13,2.GU Peng,SHI Guoping.Modeling and Simulation of power system comprehensive load model based on genetic algorithm[J].Energy Conservation,2010,29(9):9-13,2.
[12]Mellit.Application of genetic algorithm and neural network for sizing of hybrid photovoltaic wind power generation(HPVWPG)systems[J].Renewable Energy Technology,2009,1(2):139-154.
[13]刘永江,陈昊.电力配网系统无功优化方法研究[J].现代电子技术,2016,39(14):158-161,165.LIU Yongjiang,CHEN Hao.Study on reactive power optimization of power distribution network[J].Modern Electronic Technology,2016,39(14):158-161,165.
[14]张树卿,唐绍普,朱亚萍,等.多能微网阶段化多模式混合仿真关键技术综述[J].计算机研究与发展,2017,54(4):683-694.ZHANG Shuqing,TANG Shaopu,ZHU Yaping,et al.Multi microgrid stage research and development mode of key technologies of[J].Hybrid Simulation Computer,2017,54(4):683-694.
[15]杨永标,郑红娟,霍现旭,等.小型能源互联网多源优化综合评估技术研究[J].电器与能效管理技术,2017(8):53-60.YANG Yongbiao,ZHENG Hongjuan,HUO Xianxu,et al.Research on multi-source optimization and comprehensive evaluation technology of small energy Internet[J].Electrical and Energy Efficiency Management Technology,2017(8):53-60.
[16]魏荣宗,陈奕锠,黄立宁,等.混合能源发电系统装置容量优化设计[J].太原理工大学学报,2010,41(5):521-526.WEI Rongzong,CHEN Yichang,HUANG Lining,et al.Hybrid energy generation system capacity optimization design[J].Journal of Taiyuan University of Technology,2010,41(5):521-526.
[17]张永韡,汪镭,吴启迪.自然计算在九大高新技术领域的应用研究[J].微型电脑应用,2010,26(10):1-8.ZHANG Yongwei,WANG radium,WU Qidi.Research on the application of natural computing in nine high and new technology fields[J].Microcomputer Application,2010,26(10):1-8.
[18]李延平,刘莉.太阳能/氢能混合动力无人机及关键技术[J].飞航导弹,2014(7):39-45.LI Yanping,LIU Li.Solar/hydrogen hybrid unmanned aerial vehicle and key technologies[J].Flight Missile,2014(7):39-45.
[19]柯朝晖,彭雪华,徐敏.改进的遗传算法在配电网重构中的应用[J].科技广场,2016(1):42-45.KE Zhaohui,PENG Xuehua,XU Min.Application of improved genetic algorithm in distribution network reconfiguration[J].Science and Technology Plaza,2016(1):42-45.
[20]马艺玮,杨苹,吴捷,等.孤岛型混合可再生能源发电系统的优化设计[J].华南理工大学学报(自然科学版),2012,40(11):113-120.MA Yiwei,YANG Ping,WU Jie,et al.Optimal design of an island type hybrid renewable energy power generation system[J].Journal of South China University of Technology(Natural Science Edition),2012,40(11):113-120.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |