Study On Optimization Of Abandoned Wind Power Consumption In Solid Regenerative Electric Boilers

China's “Three Norths” region has prominent source-supply conflicts and poor grid flexibility.The power supply structure is dominated by coal power.The heating unit operates in the “heat-fixed power” mode during heating.Adapting to large-scale wind power consumption requirements makes it difficult to reduce wind abandonment.Regenerative electric boilers can convert electrical energy into thermal energy for heating,thereby improving the local capacity of wind power.However,the traditional water-storage electric boiler uses electrodes for heating,and its power regulation is limited by the mechanical parts of the electrodes,and the heating efficiency is low.Therefore,in this paper,a solid electric thermal storage boiler with strong heat storage capacity is selected.With the objective of maximizing the maximum wind energy dissipation and effective thermal storage capacity,a multi-objective evolutionary arithmetic in view of disintegration is introduced to propose a solid electric thermal storage boiler based on wind energy Dissipative multi-objective optimization method.This article first generalizes the current internal and foreign study status of wind power absorption methods,regenerative electric boilers to absorb abandoned heat and solid regenerative electric boilers.The classification and operation mechanism of regenerative electric boilers are expounded,the operating characteristics of traditional water regenerative electric boilers and solid regenerative electric boilers are compared,and the key factors that affect the operation of solid regenerative electric boilers are analyzed.In order to clarify the characteristics of wind curtailment,the actual operation data of a wind power generation in western Inner Mongolia was collected and analyzed to analyze the characteristics of wind power generation and the wind curtailment demand in the heating period of the region.Secondly,it analyzes the operation of the traditional electrode-type electric boiler in the two-stage operation mode commonly used.In order to match the power of the boiler tothe demand of abandoning air consumption,it is proposed to establish a mathematical model with the goal of maximizing the abandonment of air consumption,comprehensively considering four constraints such as heating load constraints,electricity and thermal power balance constraints,and use the basic particle swarm algorithm Optimal solution.The simulation results obtained are compared with the two-stage operation mode,and the advantages and disadvantages of the two operation modes of the traditional electrode-type electric boiler and the limitations of the application in the elimination of the wind are obtained.Subsequently,the solid regenerative electric boiler system was introduced and a multi-objective optimization scheme was proposed.Comprehensively considering five constraints such as heating demand constraint and heat exchanger temperature difference constraint,a mathematical model that takes into account the two objectives of maximum abandonment wind absorption and maximum effective heat storage is established,and it is solved using a decomposition-based multi-objective evolutionary algorithm.Finally,comparing the simulation results of the three operating modes in the full text,it is proved that the operation of the solid regenerative electric boiler system in the multi-objective optimization mode can not only significantly improve the wind abandonment of the electric boiler,but also improve the boiler to some extent Effective heat storage.At the same time,through economic analysis,it is concluded that the multi-objective optimization plan has the best economic feasibility during the same investment recovery period.