Research On Peak Load Regulation Technology Of Thermal Power Combined With Energy Storage Unit

The contradiction between supply and demand of source in Northeast China is prominent.The continuous growth of new energy installed capacity and the continuous decline of load growth rate further aggravate the imbalance between power supply and demand,and the peaking problem becomes more serious.In the northeastern region during the winter heating period,the thermal power unit operates in a thermal fixed mode,and it is extremely difficult to adjust the peak of the grid.In order to solve the problem of difficult peaking of power grids and improve the efficiency of clean energy utilization,a number of policies has been issued to develop the peaking auxiliary service market,encouraging units and other controllable loads to participate in peak shaving.At present,the mainstream peaking schemes have deficiencies in terms of environment and operational efficiency.Utilizing the two-way flow of energy,energy time shifting and flexible adjustment of energy storage technology,the virtual peaking can be realized under the premise of not reducing the operating efficiency of the thermal power unit,improving the rapid regulation characteristics and flexibility of the unit,and greatly increasing the unit’s response to the peaking of the power grid.Ability.Therefore,it is of great significance to explore the energy storage coordination of thermal power units to participate in the optimal control of power grid peak shaving.This paper first analyzes the power supply structure of a provincial power grid in a heating district in northern China,combines the actual operating data for one year,analyzes the load characteristics of the regional grid,and explores the characteristics of new energy output represented by wind power in the region.Considering the regional source-load coordination and the characteristics of new energy output,the current situation of peak shaving in the region was evaluated.Next,the deep peak shaving model of the thermal power unit is optimized.The in-depth peak shaving capability of the thermal power unit was analyzed in depth.Based on the safety-constrained unit combination model,with the maximum peak shaving income as the goal,the unit’s deep peak shaving optimization model was established.The branch and cut plane method was used to solve the model.The simulation results show that the optimization model solves the problem of downward peak regulation of the system during the non-heating period,but during the heating period,the adjustable output space of the thermal power unit is reduced,and the deep peak regulation of the unit cannot meet the load change.The contradiction between demand and source and load is still outstanding,and energy storage systems need to be introduced to further improve the problem of peak regulation of the power grid.Then,to optimize the energy storage control system,an optimization control strategy is proposed with the goal of optimizing the operation efficiency of the energy storage system.After comparing the technical characteristics of different energy storage batteries,the all-vanadium flow battery was selected as the type of energy storage that was subsequently used in conjunction with the thermal power unit to participate in peak regulation.According to the structure and properties of the all-vanadium flow battery,based on the operation efficiency model of the flow battery,an optimal control strategy for the energy storage system is proposed.Through simulation analysis,it is verified that this strategy can effectively improve the operating efficiency of the energy storage system and improve the power distribution of each energy storage unit.Finally,an operation control method for energy storage cooperative thermal power units participating in power grid peak regulation is proposed.Introduce the cost and benefits of energy storage to participate in peak shaving,combined with the aforementioned deep peak shaving income goal of the unit,and build a model with the maximum joint operating income as the goal,comprehensively consider the constraints of the combined thermal power-energy storage peak shaving system,and use the improved particle swarm algorithm Solve.The simulation results show that the optimization control method proposed in this paper can effectively improve the difficult problem of peak regulation of the power grid,reduce wind power abandonment,and improve the system operating income.