Optimization Of Wind Power Accommodation In Source Load System With High Energy Consumption Load

At present,the global energy consumption is too large,and the environmental problems are becoming more and more serious.Under this severe background,vigorously developing various clean energy technologies and realizing the transformation of energy production to green,environmental protection and renewable energy are the necessary technical measures for the sustainable development of energy and economy of all countries in the world,and also the long-term plan for all countries to take the road of sustainable development.Because the electric energy can not be stored in large scale,in the peak period of load power consumption,it is necessary to increase both the output of generating units and the number of units put into operation,so as to increase the generating capacity to meet the load demand,while in the low period of power consumption,it is the opposite.Wind energy is rich in resources,but its output will be affected by natural conditions such as temperature,air pressure,air density,air humidity,etc.,which is unstable and uncontrollable.Large-scale wind power integration into the power grid will have a great impact on peak load regulation of the power system,overall scheduling of relevant departments,safe and stable operation of the power grid,resulting in insufficient wind power accommodation and serious wind abandonment problems.If the source-network-load side is improved to promote the upgrading of power system structure,the wind power accommodation will be increased and the wind abandoning will be reduced.As a typical large load,high energy consumption load has large power consumption and high load utilization rate.It is of great significance to take advantage of high energy consumption load to participate in peak adjustment of electric power and reduce wind abandoning to improve the absorption capacity of wind power.In this thesis,the prediction of wind power from the source side is analyzed.Based on wind abandoning characteristics,under the regulation of auxiliary services of the power market,high-energy-consuming loads are involved in peak adjustment to reduce the power consumption cost of the high-energy-consuming enterprises and increase wind power accommodation.Firstly,an optimization algorithm for wind power generation prediction is proposed.On the basis of BP neural network,particle swarm optimization algorithm is introduced to optimize the neural network.A wind power generation prediction model is established.Then,the principle of abandoned wind is analyzed,and the calculation model of abandoned wind power is established.According to the characteristics of wind abandoning in the power grid,the peak-load and valley filling control strategy of the high-energy system participating in the power grid is proposed,and the control strategy is solved by the step-power threshold method.The characteristics of load electricity before and after the peak load are analyzed,and an example is taken to simulate the load in a certain area of Shenyang,which proves that the load of high energy consumption contains great potential of peak load regulation and can be transferred.Finally,the optimal scheduling model of source load joint control wind power accommodation is constructed.The optimal scheduling objective function is to minimize the system cost.According to the established model of each component of the joint system,the constraints of power and electric energy are considered comprehensively,and the model is solved based on genetic algorithm.The cost difference of the system considering the source load joint scheduling and only the source side scheduling is analyzed and compared.The results show that the combined optimization strategy can effectively absorb wind power,reduce system cost and improve energy efficiency.