吉平;武守远;周孝信;

• 1:中国电力科学研究院

摘要(Abstract)：

以CO2减排目标为主要约束条件,以经济性最优为目标函数,以可再生能源混合优化模型为平台,提出了某市级区域电网基于风资源的可再生能源规划方案,从上级电网购电价格、风电成本、电煤价格、向电网送电量等影响能源规划的因素入手进行灵敏度分析,给出了有实际参考价值的分析结论。研究表明,当风电成本与火电成本可相比拟时,在CO2减排约束下,若不考虑向上级电网输送电量,引入风力发电可以有效减少污染物排放量和燃料消耗,提高的风电比例会随风机数量的增加逐渐达到饱和,电力生产成本会随风机的过度装设而迅速增长。对于设定的CO2减排目标,在安装风机数量适当大于满足减排目标所需的最小风机数量,在区域电网不加装储能装置的条件下,上级电网购电价格以及煤炭价格的升高会直接导致区域电网电力供应经济性的迅速恶化,而向上级电网售电能够有效降低区域电网的电力生产成本,且大电网对区域电网外送风电的消纳能力越强,区域电网的电力生产成本就能降得越低。

关键词(KeyWords)： 能源规划;可再生电力混合优化模型;CO2减排

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 吉平;武守远;周孝信;

Email:

DOI: 10.13335/j.1000-3673.pst.2013.02.004

参考文献(References)：

• [1]国家电网公司.国家电网公司绿色发展白皮书[EB/OL].2011-06-10.http://www.sgcc.com.cn/bps/news/04/221507.shtml.
• [2]严陆光,夏训诚,周凤起,等.我国大规模可再生能源基地与技术的发展研究[J].电工电能新技术,2007,26(1):13-26.Yan Luguang,Xia Xuncheng,Zhou Fengqi,et al.A developmentstudy for Chinese large scale renewable energy source base andtechnology[J].Advanced Technology of Electrical Engineering andEnergy,2007,26(1):13-26(in Chinese).
• [3]国际电力产业网.周孝信:未来电网发展路:智能电网是重中之重[EB/OL].2012-03-14.http://www.gridsources.com/contents/1475/180229.html.
• [4]Dalton G J,Lockington D A,Baldock T E.Case study feasibilityanalysis of renewable energy supply options for small tomedium-sized tourist accommodations[J].Renewable Energy,2009(34):1134-1144.
• [5]Dalton G J,Lockington D A,Baldock T E.Feasibility analysis ofrenewable energy supply options for a grid-connected largehotel[J].Renewable Energy,2009(34):955-964.
• [6]Ahmad A S,Zhao Y,Chem V N.Design,economic analysis andenvironmental considerations of mini-grid hybrid power system withreverse osmosis desalination plant for remote areas[J].RenewableEnergy,2009(34):374-383.
• [7]Zoulias E I,Lymberopoulos N.Techno-economic analysis of theintegration of hydrogen energy technologies in renewableenergy-based stand-alone power systems[J].Renewable Energy,2007(32):680-696.
• [8]Nfah E M,Ngundam J M.Feasibility of pico-hydro and photovoltaichybrid power systems for remote villages in Cameroon[J].RenewableEnergy,2009(34):1445-1450.
• [9]Timothy M W,Adrian L.Assessing the potential for a wind powerincentive for remote villages in Canada[J].Energy Policy,2010(38):5504-5511.
• [10]Khan M J,Iqbal M T.Pre-feasibility study of stand-alone hybridenergy systems for applications in Newfoundland[J].RenewableEnergy,2005,30(6):835-854.
• [11]Kanase-Patil A B,Saini R P,Sharma M P.Integrated renewableenergy systems for off grid rural electrification of remote area[J].Renewable Energy,2010(35):1342-1349.
• [12]Timothy M W,Adrian I.The utility of energy storage to improve theeconomics of wind-diesel power plants in Canada[J].RenewableEnergy,2008(33):1544-1557.
• [13]Giatrakos G P,Tsoutsos T D,Mouchtaropoulos P G,et al.Sustainableenergy planning based on a stand-alone hybrid renewable energyhydrogen power system:application in Karpathos island,Greece[J].Renewable Energy,2009,34(3):2562-2570.
• [14]Kaldellis J K,Zafirakis D.Present situation and future prospects ofelectricity generation in Aegean Archipelago islands[J].EnergyPolicy,2007,35(9):4623-4639.
• [15]Georgios P G,Theocharis D T,Nikos Z.Sustainable power planningfor the island of crete[J].Energy Policy,2009,39(1):1222-1238.
• [16]吉平,周孝信,武守远.采用平均风速参与因子法的区域风资源评估[J].中国电机工程学报,2012,32(19):10-15.Ji Ping,Zhou Xiaoxin,Wu Shouyuan.Regional wind energyassessment approach using average wind speed participation factor[J].Proceedings of the CSEE,2012,32(19):10-15(in Chinese).
• [17]HOMER energy.Software[EB/OL].2012-02-01.http://homerenergy.com/software.html.
• [18]HOMER energy.HOMER version history[EB/OL].2012-02-01.http://homerenergy.com/version_history.html.
• [19]Homer Energy.Energy modeling software for hybrid renewableenergy systems[EB/OL].2012-02-01.http://homer energy.com/index.Html.
• [20]刘殿海,杨勇平,杨昆,等.计及环境成本的火电机组供电成本研究[J].中国电力,2005,38(9):24-28.Liu Dianhai,Yang Yongping,Yang Kun,et al.Research on theproduction cost of coal-fired power generating unit with considerationof environmental costs[J].Electric Power,2005,38(9):24-28(inChinese).
• [21]华锐风电科技有限公司.SL1500系列风力发电机组维护手册[R].北京:华锐风电科技有限公司,2008.
• [22]陶正傲.从超高速增长降到高速增长的风电龙头—华锐风电[R].常州:东海证券,2010.
• [23]http://app.finance.ifeng.com/data/indu/cpjg.php?symbol=1074.[2011-03-04].