Optimization Of Capacity Allocation Of Hydroelectric Power(Storage)-wind-photoelectricity-thermal Power And Distribution Of Anti-vibration Load In Hydropower Plant

Since the "double carbon" goal was put forward in 2020,China’s new energy development and construction ushered in a period of explosion.The development of wind and light energy is particularly prominent,thanks to the rapid progress of wind mining technology and the continuous reduction of construction costs.However,when more and more large-scale unstable wind-power supply is connected to the grid,it causes great disturbance to the stability of the power system.The randomness and volatility of wind-power output greatly reduce the load tracking ability of the power generation system.On the other hand,more and more clean energy bases are proposed or under construction,among which,in addition to scenic power stations,bases are usually equipped with hydropower stations,thermal power stations or pumped storage power stations of different sizes.How to allocate the installed capacity of each power supply reasonably in order to achieve the best economic cost performance while maintaining the stability of the power generation system,ensuring the supply of the grid load demand and improving the complementarity of the power supply inside the system,this is the problem solved by the multi-energy capacity allocation optimization scheme.At the same time,in the water-wind multi-energy complementary power generation system,the hydropower station,as the internal flexible regulatory energy,will receive more random and variable load regulation tasks,which leads to frequent working condition conversion of the units in the hydropower plant,which increases the loss of the hydropower unit and reduces the safety performance of the hydropower station.In view of this problem,The economic operation of the unit considering the vibration avoidance strategy is also studied.To sum up,the research point of this paper transitions from the capacity allocation optimization calculation of multi-energy sources at the "power station level" to the in-plant load distribution at the "unit level",in form from surface to point,and the main results obtained are as follows:(1)After modeling the power generation system of the four power sources of wind-light and fire storage one by one,according to the power generation characteristics of each power source and the power transmission principle of the grid side,combined with the operation mechanism of multi-energy complementary power generation,each power submodule is coupled into a wind-light and fire combined complementary power generation system.On this basis,the optimization model of multi-energy capacity allocation with minimum system operation cost is established.The system adopts the outgoing hour guarantee rate,load loss rate and maximum load loss depth to describe the system stability,and the power abandonment rate,system generation difference coefficient and transmission line utilization rate to reflect the complementarity of the systems.And the system unit economic benefit reflecting the system economy,the average daily circulation depth of pumping and storage reservoir,eight indexes covering three aspects were analyzed and screened for the capacity ratio scheme.Finally,the effectiveness of the model is verified under three classical new energy output scenarios in the engineering case,which provides a reference for the planning and layout of multi-energy base.(2)After the efficiency test of the turbine unit under multiple heads,the flow rate of the turbine and the power efficiency of the turbine under the corresponding head and output are calculated according to the flow rate measured by the current meter,and the relationship curve between the efficiency and output of the turbine is drawn.The curve can guide the establishment of the relevant objective function in the research of load distribution in the plant.By collecting the data of pressure pulsation,vibration mixing amplitude and oscillation mixing amplitude of hydraulic turbine unit stability test,the operating interval under a certain head of the unit can be divided,and the vibration division interval under multiple groups of measured heads can be interpolated and fitted to obtain the dynamic vibration area of the unit,and the dynamic vibration area of all the units of the power station can be combined in space.The comprehensive vibration interval of the power station is obtained,and the vibration avoidance operation strategy of the unit is formulated on this basis.(3)In the in-plant vibration avoidance economic operation model,for the first time,the number of units crossing the vibration zone and the number of units starting and stopping are combined and taken as the objective function of one.The water consumption of the economic index of unit scheduling in the power plant is replaced into the sum of the difference of the optimal working conditions,which is more convenient to calculate,and is taken as the two-objective function of the in-plant load distribution operation.By embedding the vibration avoidance load distribution model in the improved multi-objective particle swarm optimization algorithm,compared with the traditional particle swarm optimization algorithm,the decision variables(24 hours output of 4 units)can converge to the pareto edge faster and more accurately in the case analysis.This paper provides a new method and idea for the economic operation of water plant which focuses on vibration avoidance.