A Two-Stage Optimal Scheduling Method for CHP Systems Considering the Uncertainty of Solar-Thermal Power Stations

doi:10.3969/j.issn.1000-7229.2020.01.008

Abstract

Abstract: A two-stage stochastic optimization scheduling model with the lowest operating cost is established to solve the problem of joint optimal scheduling of solar-thermal power station and CHP system. In the day-ahead scheduling stage, prediction error is not considered, and the predicted value is used as the input quantity to make a daily effort to arrange each micro-element. In the real-time adjustment stage, the uncertainty model of PV generation output is established, and the standby demand under the scheduling scheme of the previous dispatch stage is evaluated. A typical case in Tianjin is presented, the simulation results of which show that the two-stage optimal scheduling model proposed in this paper can guarantee the effectiveness of the scheduling plan and the standby demand in real time, and can improve the reliability and reduce the running cost.

Key words: solar-thermal power station, combined heat and power (CHP), uncertainty, two-stage stochastic optimization

CLC Number:

TM 73

JIA Lihu，GAO Yi，GE Leijiao，TIAN Zhuang，ZHAO Gaoshuai，ZHANG Lai, ZHANG Haining. A Two-Stage Optimal Scheduling Method for CHP Systems Considering the Uncertainty of Solar-Thermal Power Stations[J]. Electric Power Construction, 2020, 41(1): 64-70.

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