Parallel Optimization Configuration Of Photovoltaic And Battery System Considering Active Management

With a series of environmental problems such as climate warming becoming more and more prominent,accelerating the replacement of traditional fossil energy by new energy sources has become a common consensus and concerted action.In recent years,China has vigorously promoted the development of new energy sources.At present,the installed capacity of new energy sources has ranked first in the world.As one of the most promising new energy generations,photovoltaic power generation has a broad space for development.However,because distributed photovoltaic power generation is affected by factors such as season,weather,time,temperature,etc.,its output has volatility and randomness,and with the higher permeability of distributed photovoltaic access distribution network,the voltage exceeds the limit.Such problems have severely restricted the large-scale consumption of distributed photovoltaics.The development of active distribution networks and energy storage technologies has made it possible to consume PV on a large scale.The active distribution network can make full use of a variety of active management measures to promote the active consumption of distributed photovoltaics in the distribution network;the energy storage technology can smooth the photovoltaic output and flexibly participate in the grid operation as a load or power supply.With the promotion of peak and valley electricity prices in various places,the optical storage joint system can improve the local consumption of distributed photovoltaics and reduce the impact on the power grid.On the other hand,it can improve the income of investors and ensure the healthy development of the photovoltaic industry.Good development prospects.Therefore,this paper combines various active management measures with the optimal configuration of the distributed optical storage joint system,and establishes the installation location,capacity,installation capacity of the savings battery and the implementation values of various active management measures as the decision variables.The optimal configuration model with the target function of distributed PV local consumption rate and maximum investor income.Aiming at the uncertainty of distributed PV output and load,the multi-scenario analysis method based on dichotomous K-means clustering is used for scene analysis.The dichotomous K-means clustering algorithm overcomes the traditional K-means aggregation.The class algorithm is sensitive to the initial centroid sensitive clustering error.At the same time,because of the multi-scenario analysis and optimization configuration of the distributed optical storage joint system,there are many variables and large calculations.In order to improve the calculation speed,this paper introduces parallel computing into dichotomous K-means clustering and In the differential evolution algorithm,a parallel dichotomous K-means clustering algorithm and a parallel multi-objective dual-quantum differential evolution algorithm are proposed to optimize the optimal configuration model.The double quantum differential evolution algorithm overcomes the shortcomings of the severe decline of population diversity in the late evolution of ordinary differential evolution algorithms.Finally,the non-inferior sorting is used to obtain the optimal configuration scheme and the active management implementation scheme,and the fuzzy set theory is used to obtain the optimal compromise result,which helps decision makers to make choices.The simulation calculation is carried out by taking the IEEE33 node power distribution system as an example.The simulation results show that the proposed optimal configuration scheme and active management implementation scheme can significantly improve the local consumption of distributed photovoltaics and improve the income of the optical storage joint system investors.The research in this paper can provide scientific guidance for active distribution network planning with distributed optical storage joint system,and can also apply the proposed method to other distributed power supply planning.