The peak load regulation ability of a 600 MW subcritical thermal power unit is analyzed by using the MHFlow thermal balance calculation software based on self-programming technology. The results demonstrate that the integrated system can achieve a 16 and 11% peaking rate at lows and peaks, respectiv
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This paper first analyzes the impact of wind power and photovoltaic negative peak regulation characteristics on regional power grid peak regulation, and then proposes a coordinated peak
helps the thermal power units to participate in the deep peak regulation by converting the electric energy into heat energy for heating users, but in the Therefore, this paper presents a
The use of high-efficiency and cost effective high temperature thermal energy storage materials, especially molten salt [2], in the heat collection system, is the key to solving
Download Citation | On Nov 1, 2024, Xiaoyu Yue and others published Collaborative optimization of renewable energy power systems integrating electrolytic aluminum load regulation and
The application of energy storage unit is a measure to reduce the peak load regulation pressure of thermal power units. In this paper, a joint optimal scheduling model of photovoltaic, energy
The joint optimization of peak regulation of virtual and thermal power plants refers to the behavior of virtual and thermal power plant to optimize their own power curve or output curve according to the change in the load curve.
PS start–stop cost of thermal power and pumped storage power CR T, C R N deep peak load regulation cost of thermal power and nuclear power Pik T, P ik N, P ik PS active power of the
The resources on both sides of source and Dutch have different regulating ability and characteristics with the change of time scale [10] the power supply side, the energy
Figure 17 shows that for thermal power units in the 3 min regulation time period, the regulation power size is limited to only 20 MW, where it is difficult to meet the real-time
DOI: 10.1016/j.epsr.2024.110354 Corpus ID: 268763996; Flexibility enhancement of renewable-penetrated power systems coordinating energy storage deployment and deep peak regulation
In this research paper, a deep peaking-regulation system is proposed for a thermal power unit, coupled with thermal energy storage and integrated with a steam ejector. The peak load
To accommodate more renewable energy power, the combined heat and power generation unit is generally acknowledged as one of the efficient and economical solutions and however, the
Three main peak load regulation modes (i.e. basic peak load regulation mode, deeper peak load regulation mode, and short-time startup and shutdown regulation mode) are considered in thermal power unit optimal scheduling. 3.1.
To balance the peak–valley (off-peak) difference of the load in the system, the power system peak load regulation is utilized through adjustment of the output power and operating states of power generator units in both peak and off-peak hours.
Considering the temporal distribution of system load off-peak hours, the potentiality of the deeper peak load regulation mode and the short-time startup and shutdown regulation mode of thermal power units are analysed.
In addition, an integrated optimal scheduling model for power system peak load regulation with a suitable rolling optimization strategy was proposed. To the best of our knowledge, this study is the first to integrate different modes’ peak load regulation cost of thermal units into the optimal scheduling model.
The intrinsic capacity of the thermal units in the system peak load regulation is studied on the generation side. An improved linear UC model considering startup and shutdown trajectories of thermal power units is embedded with the peak load regulation compensation rules.
Establish the optimal scheduling model of power system peak load regulation based on the parameters of power grid units and load demand forecast values for window [Day k, Day k ∼]. Solve the optimal scheduling model for window [Day k, Day k ∼] to obtain optimal scheduling results. The optimal scheduling scheme for Day k is implemented.
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