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Load Source Optimization Control Strategy Of Thermal Storage Electric Boiler Participating In Peak Regulation

Posted on:2022-06-27Degree:MasterType:Thesis
Country:ChinaCandidate:X LiFull Text:PDF
GTID:2492306338997899Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of China’s wind photovoltaic industry,the proportion of wind photovoltaics connected to the grid has been increasing year by year.The intermittent,random and anti-peak shaving characteristics of wind photovoltaics have brought severe challenges to the peak shaving operation of the grid,especially in the"Three Norths" area.The system’s peak shaving capacity is seriously insufficient due to the "heat-based power supply" during the winter heating period,which intensifies the difficulty of large-scale wind power photovoltaic consumption,resulting in the curtailment of wind and solar power.At the same time,the vigorous development of thermal storage electric boilers provides a new opportunity for the development of peak shaving resources.In this regard,based on the in-depth study of the operation and regulation characteristics of thermal storage electric boilers,this article fully taps the adjustment auxiliary peak shaving potential of thermal storage electric boilers,and then proposes a load-source optimization control strategy of thermal storage electric boiler participating in peak regulation to further improve the level of green power.Firstly,starting from the two aspects of the power grid operating characteristics and peak shaving requirements of the high-proportion wind photoelectric transmission end,the paper analyzes the impact of large-scale wind photoelectric grid connection on the system peak shaving,and points out that the wind photoelectric anti-peak shaving characteristics increase the demand for peak shaving at both night and noon.Then,the system peak shaving capacity of the high-proportion wind photoelectric transmission-end power grid in the winter heating period is studied,including the peak shaving performance of conventional thermal power units and cogeneration units.Based on this,the mechanism of wind and photoelectric obstruction during the period when the peak-shaving capacity of the sending-end power grid is significantly insufficient during the heating period in winter is analyzed.Secondly,the structural composition of the thermal storage electric boiler and the principle of electrothermal coupling is studied,discussing the relationship between the heat supply.heat storage and electricity consumption.The network topology and heating mode of the thermal storage electric boilers connected to both sides of the charge source are introduced.Combined with the configuration and operation characteristics of the thermal storage electric boilers connected to both sides,the operation control characteristics and regulation characteristics of the thermal storage electric boilers on both sides are further studied and analyzed.Finally.the mechanism of the coordinated control of the load-source dual-side thermal storage electric boiler to improve the peak shaving capacity of the winter heating period is explained separately.Thirdly,based on the regulation model and mechanism of the thermal storage electric boiler participating in peak-shaving above,a thermal storage electric boiler participating in the peak-shaving load optimization control mode with the goal of eliminating the blocked wind and photovoltaic power during the down-peaking period is proposed.Based on this,the system down peak shaving period caused by wind photovoltaic grid connection is divided,and the adjustment model after the double-side connection of the thermal storage electric boiler and a double-layer optimization control model is established.Besides,the improved particle swarm algorithm is proposed to solve the upper and lower layers optimization model.Then,the overall load source optimization control strategy for the thermal storage electric boiler to participate in peak shaving is formed.Finally,using the actual operating data of the power grid and thermal storage electric boilers in a certain area,the feasibility and effectiveness of the proposed load source optimization control strategy of thermal storage electric boiler participating in peak regulation are simulated and verified.The results show that the proposed control strategy can significantly improve the peak shaving capability of the system,thereby increasing the level of wind power consumption.
Keywords/Search Tags:thermal storage electric boiler, load source peak regulation, optimization control model, improved particle swarm algorithm
PDF Full Text Request
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