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机构地区:[1]天津大学智能电网教育部重点实验室,天津300072
出 处:《电力系统及其自动化学报》2013年第4期122-127,共6页Proceedings of the CSU-EPSA
摘 要:在分段竞价的理论基础上,该文建立了以总购电费用最小为目标的数学模型,并优化风电、水电、抽水蓄能和火电机组的运行方式。在谷荷和峰荷期采用风-水-火联合运行模型,风电、水电、抽水蓄能和火电机组协调运行;将等效日负荷预测曲线分成基荷段、腰荷段和峰荷段,在风电存在预测误差的条件下以分段竞价方式安排火电机组出力。文中将分段竞价理论与风电随机性相结合,既能降低购电费用,又能使火电机组的运行方式适应风电的波动。通过算例验证了该模型和方法的有效性和可行性。According to the block bidding theory, a mathematical model is established to realize the minimum of the total power purchase cost and optimize the operation mode of wind, hydropower, pumped storage plant and thermal u- nits.Meanwhile, the coordinated operation mode of wind, hydropower and thermal power is adopted at valley load and peak load period, in order to make various units work harmoniously. Then, the equivalent daily load curve is horizon- tally divided into three blocks, including basic load block, intermediate load block and peak load block.In view of the forecasting error of wind power, an improved clearing algorithm based on block bidding model is applied to determine the output power of the thermal unit.In this paper, the block bidding theory is combined with the wind power uncertain- ty.It is meaningful to reduce the power purchase cost and enable the operation mode of thermal units adapting to the fluctuations of wind power. Finally, the example is given to illustrate the validity and effectiveness of the proposed mod- el and algorithm.
分 类 号:TM73[电气工程—电力系统及自动化] F123.9[经济管理—世界经济]
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