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西北地区水电在年度电力期货市场中的运营
引用本文:周婷,王丽萍,白兴忠,李焰.西北地区水电在年度电力期货市场中的运营[J].电网技术,2009,33(3):57-62.
作者姓名:周婷  王丽萍  白兴忠  李焰
作者单位:周婷,王丽萍,ZHOU Ting,WANG Li-ping(水资源与水利水电工程研究所(华北电力大学),北京市,昌平区,102206);白兴忠,李焰,BAI Xing-zhong,LI Yan(西北电网有限公司,陕西省,西安市,710048)  
基金项目:国家重点科技攻关项目,国家自然科学基金 
摘    要:针对水电在西北电力市场运营中月发电量的不确定性及月间发电量不均匀性的特征,在电力市场化运营的背景下,提出西北二级电力市场中水电站群期货电量的划分模型。以月发电过程统计特征为依据,进行期货电量的年内分解和调整,并从梯级水电运行特征的角度验证和解释期货电量的合理性,为水电站群在电力市场中的合约签订及电量分解提供了一种可行方法和依据。以西北电网为例,计算得主要水电站期货合约可签电量达多年平均发电量的65%左右,各月分解电量保证率达95%左右,通过对该结果内在机理的进一步阐述,验证了模型的有效性和合理性。

关 键 词:水电期货市场  划分模型  分解与协调模型  发电量序列概率特征分析
收稿时间:2008-01-21

Operation of Hydropower Stations Located in Northwest China Participating in Annual Northwest Futures Electricity Market
ZHOU Ting,WANG Li-ping,BAI Xing-zhong,LI Yan.Operation of Hydropower Stations Located in Northwest China Participating in Annual Northwest Futures Electricity Market[J].Power System Technology,2009,33(3):57-62.
Authors:ZHOU Ting  WANG Li-ping  BAI Xing-zhong  LI Yan
Affiliation:1. Water Resources and Hydropower Engineering Institute (North China Electricity Power University),Changping District,Beijing 102206,China;2. Northwest Power Grid Co., Ltd.,Xi’an 710048,Shaanxi Province,China
Abstract:According to the features of hydropower stations located in Northwest China, i.e., the uncertainty of monthly- generated energy and irregularity of monthly-generated energy in different months, a division model for features electricity quantity generated by hydropower station group in Northwest secondary electricity market is proposed. Based on the statistical characteristics of monthly power generation process, the annual features electricity quantity is decomposed and coordinated, and the reasonableness of features electricity quantity is verified and explained in the viewpoint of cascade hydropower stations' operation characteristics to provide basis and a feasible method for the award of contract and electricity quantity decomposition of hydropower station group in electricity market. Taking Northwest Power Grid for example, the calculation results show that by use of the proposed model, the possible electricity quantity of the principal hydropower stations could be awarded in features contract reaches about 65% of long term average annual power output and the assurance rate of monthly-decomposed electricity quantity reaches about 95%. By means of further expounding the inherent mechanism of the calculated results the effectiveness and reasonableness of the proposed model are validated.
Keywords:futures market of hydropower  division model  decomposition and coordination model  sequential feature analysis of electric quantity
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