EH plays a role in converting a portion of excess wind power into heat energy and storing it in TES. This method enhances the load demand during periods of low load, diminishes the gap between peak and valley values, and further improves the system''s peak
power system, as compared with the deep peak regulation of thermal power plants with a special supporting energy storage power station. This work provides a global perspective for virtual power plants to participate in the formulation of power system peak regulation rules. Keywords: carbon-peak and carbon-neutral, virtual power plant, thermal power plant, two stage, peak regulation 1
EH plays a role in converting a portion of excess wind power into heat energy and storing it in TES. This method enhances the load demand during periods of low load, diminishes the gap between peak and valley values, and further improves the system''s peak regulation flexibility. In addition, EH can be used to reduce the spinning
Load regulation method of thermal power units based on energy storage multi-scale utilization is proposed. The proposed control scheme is based on the extraction throttling and feedwater bypass throttling. Simulation results indicate that the proposed scheme is superior to conventional schemes under different load command conditions. The
Large-scale applications such as power plants, geothermal energy units, nuclear plants, smart textiles, buildings, the food industry, and solar energy capture and storage are ideal candidates for TES systems. Even though each thermal energy source has its specific context, TES is a critical function that enables energy conservation across all main thermal energy
This study proposes an optimized operation model for the joint operation of thermal power and energy storage while considering the lifespan degradation of energy storage and the deep peak shaving of thermal power. This model measures the cost changes due to the participation of energy storage in thermal power unit peaking. It is able to reflect
The simulation example shows that the virtual power plant and its day-ahead and intra-day optimal peak regulation strategy can reduce the peak regulation cost of the power system, as compared with the deep peak regulation of thermal power plants with a special supporting energy storage power station. This work provides a global perspective for
Control strategy is optimized through orderly utilization of energy storage. Maximum power ramp rate is improved from 1.5 % to 5.5 % Pe0 min −1. The maximum reduction of coal consumption is 7.09%. Control performance of steam temperature and pressure is significantly improved.
Energy storage (ES) can mitigate the pressure of peak shaving and frequency regulation in power systems with high penetration of renewable energy (RE) caused by
This method comprehensively considers the frequency regulation output characteristics of thermal power units and energy storage systems, the operating characteristics and sustainability of energy storage systems and the impact of different types of load disturbances on the AGC frequency regulation responsibility allocation method, which
To this end, this article aggregates user-side distributed energy storage and electric vehicles into a virtual power plant, considering the uncertainty of wind power uctuations and the uncertainty
This paper proposes a visualization method for evaluating the peak-regulation capability of power grid with various energy resources, which visualizes the peak-regulation supply by the cumulative histogram with typical unit on–off state combinations (UOSCs). In the proposed method, a cluster center-based extracting method is developed to reduce the
Coupling energy storage system is one of the potential ways to improve the peak regulation and frequency modulation performance for the existing combined heat power plant. Based on the characteristics of energy storage types, achieving the accurate parameter design for multiple energy storage has been a necessary step to coordinate regulation
Coupling energy storage system is one of the potential ways to improve the peak regulation and frequency modulation performance for the existing combined heat power
Naturally, more attention has been focused on the regulations for PFC performances of power generations. 9 Meanwhile, it is common for thermal power plants to undertake deep peak regulation in China, as the proportions of pumped storage, and gas-fired generation with well peak regulation performance are too small to meet the peak shaving requirements. 20-22 The
Energy storage configured in thermal power plants is mainly used to participate in peak and frequency regulation, which can not only make profits, but also alleviate the excessive coal consumption and serious equipment wear in power generation process [17, 18]. Chen et al. evaluated the benefits of automatic generation control (AGC) for frequency regulation with the
This method comprehensively considers the frequency regulation output characteristics of thermal power units and energy storage systems, the operating characteristics and sustainability of
As the capacity of thermal power unit flexibility modification is less in 2020, mainly relying on hydrogen energy storage equipment to smooth out the fluctuation of wind power and PV output, in 2025 to 2035, the capacity of thermal power unit flexibility modification is greater than 35%, mainly through the thermal power depth peaking to improve the system flexible
To optimize the energy storage capacity suitable for thermal power units and the charging and discharging strategies of energy storage, a robust optimization configuration and
Energy storage (ES) can mitigate the pressure of peak shaving and frequency regulation in power systems with high penetration of renewable energy (RE) caused by uncertainty and inflexibility. However, the demand for ES capacity to enhance the peak shaving and frequency regulation capability of power systems with high penetration of RE has not
To this end, this article aggregates user-side distributed energy storage and electric vehicles into a virtual power plant, considering the uncertainty of wind power uctuations and the uncertainty of fl electric vehicle charging and discharging to establish a day-ahead and intra-day peak regulation model for combined peak regulation of virtual a...
This study proposes an optimized operation model for the joint operation of thermal power and energy storage while considering the lifespan degradation of energy storage and the deep peak shaving of thermal power.
Control strategy is optimized through orderly utilization of energy storage. Maximum power ramp rate is improved from 1.5 % to 5.5 % Pe0 min −1. The maximum
The simulation example shows that the virtual power plant and its day-ahead and intra-day optimal peak regulation strategy can reduce the peak regulation cost of the
Scenario 3 is used to evaluate the effect of energy storage on peak regulation and examine the impact of energy storage on power system operation without the demand response. Scenario 4 incorporates both demand response and energy storage for peak regulation. Scenario 4 integrates both flexibility resources to verify the proposed bi-level
Energy storage is one of the most effective solutions to address this issue. Under this background, this paper proposes a novel multi-objective optimization model to determine
To optimize the energy storage capacity suitable for thermal power units and the charging and discharging strategies of energy storage, a robust optimization configuration and economic operation method for energy storage thermal power unit peak regulation system (ESTPPR) is provided.
For example, Diaz [21] proposed a linearized model of an evaporator under two-phase conditions and verified controllability, using the enthalpy method which is widely used in thermal power plants to evaluate the energy conversion ability. Zhou et al. [22] introduced a segment linearized model to obtain the emulation model of a heat exchanger
Energy storage is one of the most effective solutions to address this issue. Under this background, this paper proposes a novel multi-objective optimization model to determine the optimal allocation capacity of energy storage in a thermal power plant for provision of peak regulation service in smart grid. To achieve this, we limit our study to
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.
To optimize the energy storage capacity suitable for thermal power units and the charging and discharging strategies of energy storage, a robust optimization configuration and economic operation method for energy storage thermal power unit peak regulation system (ESTPPR) is provided.
Richter et al. pointed out that the thermal energy storage can decrease the minimum load of power plants and increase the flexibility. Sun et al. decreased the minimum load to 3.7–8.3 % of the nominal load by integrating thermal energy storage tanks within thermal power plants.
If all energy stored in the boiler and regenerative systems of thermal power plant can be orderly utilized, the operational flexibility of thermal power plant will be significantly enhanced. The issue, how to achieve orderly utilization of the energy storage within a total power plant, remains unanswered. The novelty of this study are as follows.
Thermal power plants are considering configuring energy storage systems to cope with different daily wind power uncertainty, ensure stable operation and power supply reliability of the power system, and alleviate problems such as deep peak regulation and frequent start and stop of thermal power units.
Substantial energy resides within the regenerative and boiler subsystems of thermal power plants, and optimizing the utilization of the stored energy is crucial for enhancing the operational flexibility of these plants.
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