检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘文彬
机构地区:[1]福建电力交易中心有限公司,福建福州350003
出 处:《陕西电力》2017年第4期60-65,共6页Shanxi Electric Power
基 金:福建省自然科学基金项目(2013J01176)
摘 要:目前我国月度合约市场购电量仅依据负荷预测值来确定,忽略了月度合约市场和日前市场之间的联系。随着大规模风电的并网,风电不确定性增加了月度合约市场购电决策的难度。综合考虑了日前市场风电不确定性对月度合约市场的影响,建立了含风电的月度合约市场购电模型,并通过算例具体分析了风电预测偏差、日前市场预测价格、月度合约市场报价的影响。结果表明该模型可减少购电总费用,具有更好的经济性。At present, the quantity of energy purchasing in the monthly contract market is only depend on the prediction value of the load which ignores the relationship between the monthly market and day-ahead market. And with the large scale wind power integrating into grid, the uncertainty of them will bring new challenges for the power dispatching. Therefore the monthly purchasing model is established considering the influence on the monthly market of the price of day-ahead market and the uncertainty of the wind power together. The influence indexes of wind power forecast deviation, day-ahead market forecast price and monthly contract biding price are analyzed through calculation examples. The results show that the model can reduce the total power purchasing expenses and have better economy.
分 类 号:TM732[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.124