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On this basis, an optimal energy storage allocation model in a thermal power plant is proposed, which aims to maximize the total economic profits obtained from peak regulation and renewable energy utilization in the system simultaneously, while considering the operational constraints of energy storage and generation units.
The dispatching department calls it for free. When the output of thermal power unit is between (1 − k) Pthe and 0.5 Pthe, the thermal power unit has the ability for peak shaving. At this time, there is no need to charge the energy storage system for peak shaving. To avoid deep discharge in energy storage system, SOCmin is set to 20%.
At present, the research on the participation of energy storage system in grid-assisted peak shaving service is also deepening gradually [4, 6, 7, 8, 9, 10]. The effectiveness of the proposed methodology is examined based on a real-world regional power system in northeast China and the obtained results verify the effectiveness of our approach.
Taking the 49.5% RE penetration system as an example, the power and capacity of the ES peaking demand at a 90% confidence level are 1358 MW and 4122 MWh, respectively, while the power and capacity of the ES frequency regulation demand are 478 MW and 47 MWh, respectively.
The maximum load of the power system is 9896.42 MW. The conventional units of the system mainly consist of 18 units of three types, with a total installed capacity of 7120 MW.
Fitting curves of the demands of energy storage for different penetration of power systems. Table 8. Energy storage demand power and capacity at 90% confidence level.
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