Research On Stochastic Fuzzy Optimal Scheduling Of Photovoltaic Power System Considering Flexible Load

At present,photovoltaic power generation is one of the most promising new energy power generation methods,but the uncertainty of photovoltaic power output increases the difficulty of power network operation control,so it is necessary to effectively predict the photovoltaic power output.At the same time,this paper makes use of the peak load adjustment characteristics of flexible load peak cut and valley filling and puts it into the dispatching system,establishes a stochastic fuzzy optimal scheduling model for photovoltaic power systems considering flexible load,and focuses on the economic cost,safety and environmental protection of the impact of the power system.First of all,this paper introduces the stochastic fuzzy theory for the uncertainty of PV output,and uses the established dual uncertainty model to achieve effective prediction of PV output.According to the PV output model,the solar irradiance is a key factor affecting the photovoltaic output.In order to obtain the PV output,only the direct and scattered radiation values can be obtained.After a series of studies,a random fuzzy relationship between cloud cover and cloud cover factor was obtained.From this,the solar radiation value corresponding to the cloud amount is calculated,and the accurate photovoltaic output result is finally obtained.Secondly,the definition of flexible load and its scheduling framework are introduced.The scheduling framework based on load aggregator takes into account the overall coordination ability of centralized architecture and the autonomous flexibility of decentralized architecture.This paper adopts this kind of scheduling framework.According to the different response characteristics of flexible load,it is divided into interruptible load and incentive load.And their respective cost optimization models are constructed.Thirdly,a multi-objective optimization model of photovoltaic-based power system considering the flexible load is established.The model objective functions include operating costs,carbon emission penalty costs,and load loss risk costs.Theimproved BCC algorithm based on satisfaction method is used to solve the problem.Finally,the above model is analyzed from the aspects of scheduling method,photoelectric efficiency,confidence levels,optimization goal,and optimization algorithms.The results of calculation examples show that the multi-objective optimization model established in this paper has important practical significance for the operation scheduling of power system.Although the selected optimization algorithm has certain randomness,it can also obtain satisfactory results.