Joint Optimization Scheduling Research For New Energy Power Plants Group Based On Multiple Peaking Methods

With the gradual increase of the proportion of new energy power generation groups such as wind power and photovoltaics in the power system,due to the wake effect,polymerization effect and output uncertainty characteristics of the field,the power system optimization scheduling is increasingly difficult.As the increase,the traditional optimized scheduling strategy can not meet the scheduling requirements of the high-ratio new energy generation group power load.In recent years,peaking methods such as pumped storage and high energy load have been vigorously developed with their flexible scheduling characteristics and rapid adjustment capabilities,and they are widely involved in power dispatching of new energy power generation sites such as photovoltaics and wind power.To the extent that it inhibits the volatility and intermittentness of new energy sources such as photovoltaics and wind power,reduces the amount of abandoned wind and abandoned light,and improves scheduling accuracy and grid operation reliability.In order to realize large-scale grid connection of high-proportion new energy power generation field group,this thesis uses multiple peaking methods to participate in the joint optimization strategy of new energy power generation field group to study the whole system.The specific research contents are as follows:(1)Based on the analysis of the optimal scheduling problems faced by power systems after the integration of wind power,photovoltaic and other new energy power generation sites,this paper proposes a hybrid energy storage compensation strategy based on model predictive control to compensate the new energy power generation group.A closed-loop prediction model of the power output of the hybrid energy storage system is established,and the reference model trajectory of the output of the energy storage system is developed.Finally,the minimum control amount is obtained by the control algorithm to achieve the effect of peak-filling and smooth-winding combined power generation.(2)Aiming at the problem of lack of peak shaving capacity of conventional generators and insufficient abundance of wind power generation group due to many factors in the “Three North” area,a multi-source complementation based on cogeneration mode is proposed.The combined electric field group is optimized for scheduling strategy.Firstly,the influences of the wake effect and the aggregation effect of the new energy generation group on the output of the new energy field group are analyzed.Secondly,based on the predicted data of the known electric heating load and the operating parameters of each unit,the cogeneration mode is established.The operation priority strategy of each unit under the combined operation mode of multi-source complementary power generation group is established.Based on this,a joint optimization scheduling model of multi-source complementary power generation group in cogeneration mode is established.The model considers the penalty cost of correcting the scheduling measures,and uses the wind power simulation scenario to calculate the average of the basic operating costs and the corrected scheduling costs.Finally,the IEEE24 node system is used as a verification example to carry out economic benefit simulation calculation,and the optimization results of different scenarios are compared and analyzed in the case study.(3)According to the characteristics that the predicted output of the new energy generation field group in the multi-source complementary power generation system increases with the scale,the time interval becomes smaller,the operation process is gradually refined,and the prediction accuracy of the wind power generation group is also improved.Based on multiple time scales,a variety of peak-modulation methods for power plant group joint optimization scheduling strategy,from three days before,rolling,real-time time angle control,with the lowest system operating cost,maximum utilization of wind and light storage and system output power.The optimal scheduling model of three time scales of day,roll and real time is established for the target of minimum fluctuation.Through rolling correction and real-time adjustment,the impact of wind forecasting error and load uncertainty on the dispatching plan is gradually reduced,and various peaking units are dispatched reasonably,the scheduling accuracy of the system is improved,and the number of starts and stops of each unit is reduced,thereby promoting wind and light absorption.It saves the operating cost of the unit and improves the economics of the system operation.Finally,the effectiveness of the proposed scheduling strategy is verified by a specific example in Gansu Jiuquan.