Joint optimal scheduling model of clean energy considering CSP regulation

Zhu, Ziqi; Ma, Xiaomei; Gu, Bin; Liu, Haizhou

doi:10.1109/acpee48638.2020.9136287

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…The thermal storage system is used to compensate for wind power, which shows that the combined solar-thermal and wind power generation system can effectively reduce power fluctuation. In literature [29][30][31], a multi-objective function was constructed to obtain the optimal output of the solar-thermal power station by considering the absorption rate of new energy, regional section limit and the schedulability of the solar-thermal power station. Literature [32][33][34][35] considered the uncertainties of wind power, PV and load, and established power prediction probability distribution functions by using the Copula function method.…”

Section: Introductionmentioning

confidence: 99%

Optimal Configuration Method for the Installed Capacity of the Solar-Thermal Power Stations

Wang¹,

Ma²,

Zhang³

et al. 2023

Energy Engineering

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Because of the randomness of wind power and photovoltaic (PV) output of new energy bases, the problem of peak regulation capability and voltage stability of ultra-high voltage direct current (UHVDC) transmission lines, we proposed an optimum allocation method of installed capacity of the solar-thermal power station based on chance constrained programming in this work. Firstly, we established the uncertainty model of wind power and PV based on the chance constrained planning theory. Then we used the K-medoids clustering method to cluster the scenarios considering the actual operation scenarios throughout the year. Secondly, we established the optimal configuration model based on the objective function of the strongest transient voltage stability and the lowest overall cost of operation. Finally, by quantitative analysis of actual wind power and photovoltaic new energy base, this work verified the feasibility of the proposed method. As a result of the simulations, we found that using the optimal configuration method of solar-thermal power stations could ensure an accurate allocation of installed capacity. When the installed capacity of the solar-thermal power station is 1 × 10 6 kW, the transient voltage recovery index (TVRI) is 0.359, which has a strong voltage support capacity for the system. Based on the results of this work, the optimal configuration of the installed capacity of the solar-thermal power plant can improve peak shaving performance, transient voltage support capability, and new energy consumption while satisfying the Direct Current (DC) outgoing transmission premise.

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