考虑电磁环境约束的大型海上风电场集电网络拓扑博弈优化
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摘要
随着海上风电的规模化发展,其运行过程中造成的海洋生态失衡问题日益显著,研究海洋电磁环境约束下的集电系统规划具有重要意义。文中以大型海上风电场集电系统全寿命周期成本最小作为优化目标,建立经济模型以研究影响海底电磁环境的海缆感应磁场分布特性,并设置约束限值。同时从海洋电磁环境、经济成本、可靠性等方面对规划方案进行多方博弈评估,以得到考虑经济性、亲环境性和可靠性的最优规划方案。算例分析结果表明,在集电系统规划中考虑电磁环境约束对优化结果具有显著影响。
With the large-scale development of offshore wind power,the marine ecological imbalance caused by the wind farming operation is getting serious gradually,so it is of great significance to study the optimization of the collector system under environment restriction.In this paper,the whole-life-cycle cost of the collection system is taken as an objective,and the economic model is built to study the features of sea-cable magnetic field,which causes damage to the submarine electromagnetic environment,and a magnetic constraint value is set.In addition,the multi-party game evaluation of planning schemes is conducted from the respects of marine electromagnetic environment,economic cost and reliability,and the optimal planning scheme is obtained with economics,environment-friendly and reliability.The case analysis results indicate that the environmental constraint has an obvious influence on the optimal planning results.
With the large-scale development of offshore wind power,the marine ecological imbalance caused by the wind farming operation is getting serious gradually,so it is of great significance to study the optimization of the collector system under environment restriction.In this paper,the whole-life-cycle cost of the collection system is taken as an objective,and the economic model is built to study the features of sea-cable magnetic field,which causes damage to the submarine electromagnetic environment,and a magnetic constraint value is set.In addition,the multi-party game evaluation of planning schemes is conducted from the respects of marine electromagnetic environment,economic cost and reliability,and the optimal planning scheme is obtained with economics,environment-friendly and reliability.The case analysis results indicate that the environmental constraint has an obvious influence on the optimal planning results.
引文
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[18]孙孔明,陈青,赵普.考虑环网检测的配电网拓扑重构遗传算法[J].电力系统自动化,2018,42(11):64-71.DOI:10.7500/AEPS20170912010.SUN Kongming,CHEN Qing,ZHAO Pu.Genetic algorithm with mesh check for distribution network topology reconfiguration[J].Automation of Electric Power Systems,2018,42(11):64-71.DOI:10.7500/AEPS20170912010.
[19]符杨,徐涵璐,黄玲玲.海上风电场集电系统全寿命周期成本分析[J].电力系统自动化,2016,40(21):161-167.DOI:10.7500/AEPS20160321015.FU Yang,XU Hanlu,HUANG Lingling.Life-cycle cost analysis of power collection system in offshore wind farm[J].Automation of Electric Power Systems,2016,40(21):161-167.DOI:10.7500/AEPS20160321015.
[20]卢强,陈来军,梅生伟.博弈论在电力系统中典型应用及若干展望[J].中国电机工程学报,2014,34(29):5009-5017.LU Qiang,CHEN Laijun,MEI Shengwei.Typical applications and prospects of game theory in power system[J].Proceedings of the CSEE,2014,34(29):5009-5017.
[21]TANG Zhili,ZHANG Lianhe.Nash equilibrium and multi criterion aerodynamic optimization[J].Journal of Computational Physics,2016,314:107-126.
[22]DAHMANI O,BOURGUET S,MACHMOUM M,et al.Optimization and reliability evaluation of an offshore wind farm architecture[J].IEEE Transactions on Sustainable Energy,2017,8(2):542-550.
[2]白建华,辛颂旭,刘俊,等.中国实现高比例可再生能源发展路径研究[J].中国电机工程学报,2015,35(14):3699-3705.BAI Jianhua,XIN Songxu,LIU Jun,et al.Roadmap of realizing the high penetration renewable energy in China[J].Proceedings of the CSEE,2015,35(14):3699-3705.
[3]国家能源局.风电发展“十三五”规划[EB/OL].北京:国家能源局,2016[2018-01-11].http://www.ndrc.gov.cn/.National Energy Administration of China.Wind power development“13th Five-Year”Plan[EB/OL].Beijing:National Energy Administration of China,2016[2018-01-11].http://www.ndrc.gov.cn/.
[4]范松丽,苑仁峰,艾芊,等.欧洲超级电网计划及其对中国电网建设启示[J].电力系统自动化,2015,39(10):6-15.DOI:10.7500/AEPS20141031013.FAN Songli,YUAN Renfeng,AI Qian,et al.European supergrid project and its enlightenment to China’s power grid[J].Automation of Electric Power Systems,2015,39(10):6-15.DOI:10.7500/AEPS20141031013.
[5]FARIA J B,des NEVES M G.Accurate evaluation of indoor triplex cable capacitances taking conductor proximity effects into account[J].IEEE Transactions on Power Delivery,2006,21(3):1238-1244.
[6]WALKER T I.Basslink project review of impacts of high voltage direct current sea cables and electrodes on chondrichthyan fauna and other marine life,Basslink Supporting Study No 29,Marine and Freshwater Resources Institute No 20[R].Queenscliff,Australia:Marine and Freshwater Resources Institute,2001.
[7]SADOWSKI M,WINNICKI A,FORMICKI K,et al.The effect of magnetic field on permeability of egg shells of salmonid fishes[J].Acta Ichthyologica et Piscatoria,2007,37(2):129-135.
[8]KRZEMIENIEWSKI M,TEODOROWICZ M,DEBOWSKIM,et al.Effect of a constant magnetic field on water quality and rearing of European sheatfish Silurus glanis L larvae[J].Aquaculture Research,2015,35(6):568-573.
[9]GONZALEZ-LONGATT F M.Optimal offshore wind farms’collector design based on the multiple travelling salesman problem and genetic algorithm[C]//2013 IEEE Grenoble Powertech,June 16-20,2013,Grenoble,France:6p.
[10]谭任深.海上风电场集电系统的优化设计[D].广州:华南理工大学,2013.TAN Renshen.Optimal design of power collection system for offshore wind farm[D].Guangzhou:South China University of Technology,2013.
[11]黄玲玲,符杨,郭晓明.海上风电场集电系统可靠性评估[J].电网技术,2010,34(7):169-174.HUANG Lingling,FU Yang,GUO Xiaoming.Reliability evaluation of wind power collection system for offshore wind farm[J].Power System Technology,2010,34(7):169-174.
[12]MCROBBIE D.Guidelines for limiting exposure to timevarying electric and magnetic fields(1 Hz to 100kHz)[J].Health Physics,2010,99(6):818.
[13]黄峰.架空线电磁场环境影响仿真研究[D].上海:上海交通大学,2008.HUANG Feng.Simulation and analyse of power-frequency electromagnetic field’s influence on environment[D].Shanghai:Shanghai Jiao Tong University,2008.
[14]徐龙博,李煜东,汪少勇,等.海上风电场数字化发展设想[J].电力系统自动化,2014,38(3):189-193.DOI:10.7500/AEPS20130613018.XU Longbo,LI Yudong,WANG Shaoyong,et al.Digital development assumptions of offshore wind farms[J].Automation of Electric Power Systems,2014,38(3):189-193.DOI:10.7500/AEPS20130613018.
[15]王锡凡,王碧阳,王秀丽,等.面向低碳的海上风电系统优化规划研究[J].电力系统自动化,2014,38(17):4-13.DOI:10.7500/AEPS20140324013.WANG Xifan,WANG Biyang,WANG Xiuli,et al.Study of optimal planning methods for offshore wind power systems oriented low-carbon[J].Automation of Electric Power Systems,2014,38(17):4-13.DOI:10.7500/AEPS20140324013.
[16]WEI Shurong,ZHANG Lu,XU Yao,et al.Hierarchical optimization for the double-sided ring structure of the collector system planning of large offshore wind farms[J].IEEETransactions on Sustainable Energy,2017,8(3):1029-1039.
[17]符杨,吴靖,魏书荣.大型海上风电场集电系统拓扑结构优化与规划[J].电网技术,2013,37(9):2553-2558.FU Yang,WU Jing,WEI Shurong.Topology optimization and planning of power collection system for large-scale offshore wind farm[J].Power System Technology,2013,37(9):2553-2558.
[18]孙孔明,陈青,赵普.考虑环网检测的配电网拓扑重构遗传算法[J].电力系统自动化,2018,42(11):64-71.DOI:10.7500/AEPS20170912010.SUN Kongming,CHEN Qing,ZHAO Pu.Genetic algorithm with mesh check for distribution network topology reconfiguration[J].Automation of Electric Power Systems,2018,42(11):64-71.DOI:10.7500/AEPS20170912010.
[19]符杨,徐涵璐,黄玲玲.海上风电场集电系统全寿命周期成本分析[J].电力系统自动化,2016,40(21):161-167.DOI:10.7500/AEPS20160321015.FU Yang,XU Hanlu,HUANG Lingling.Life-cycle cost analysis of power collection system in offshore wind farm[J].Automation of Electric Power Systems,2016,40(21):161-167.DOI:10.7500/AEPS20160321015.
[20]卢强,陈来军,梅生伟.博弈论在电力系统中典型应用及若干展望[J].中国电机工程学报,2014,34(29):5009-5017.LU Qiang,CHEN Laijun,MEI Shengwei.Typical applications and prospects of game theory in power system[J].Proceedings of the CSEE,2014,34(29):5009-5017.
[21]TANG Zhili,ZHANG Lianhe.Nash equilibrium and multi criterion aerodynamic optimization[J].Journal of Computational Physics,2016,314:107-126.
[22]DAHMANI O,BOURGUET S,MACHMOUM M,et al.Optimization and reliability evaluation of an offshore wind farm architecture[J].IEEE Transactions on Sustainable Energy,2017,8(2):542-550.