Research On Optimal Scheduling And Benefit Assess Of "Muti Energies-Load" Chain

The adjustment of the global energy structure has been accelerated in recent years.The renewable energy represented by wind power and photovoltaic is not conducive to the safe and stable operation of the power grid because of its volatility and intermittence.With the continuous development of energy Internet-related technologies represented by information technology,communication technology,and big data technology,making use of the coupling between various energies,bundling and complementary operation of multiple energies to form a multi energy complementary power generation system has become an effective way to reduce the adverse impact of renewable energy on the power grid and improve the utilization rate of resources.Due to the higher dimension,stronger Uncertainty,and more complex operation mode of the multi-energy complementary system,making the multi-energy complementary system play an essential role in the power grid has become more challenging.Under this background,this paper takes the renewable energy base in the upper reaches of the Yellow River in Qinghai Province as the object,takes the stable and efficient operation of a multi-energy complementary system as the theme,and studies the operation scheduling and consumption of large-scale multi-energy complementary system from four aspects: uncertainty analysis,complementary characteristic analysis,optimal allocation research,and comprehensive benefits analysis.The main work is as follows:(1)Given the great difference in output characteristics of renewable energy such as wind power,photovoltaic,and hydropower,and the complex fluctuation characteristics of different types of renewable energy,a new IT K-means algorithm is proposed to accurately and effectively evaluate and analyze the uncertainty of the multi-energy complementary system.The sorting algorithm is used to select the initial cluster centroid;The minimum description length is used to determine the optimal clustering number of photovoltaic,wind power,hydropower,and load data;According to the optimal number of clusters,all kinds of data are grouped and iterated for many times to determine the final cluster center of each cluster,and the optimal clustering results and typical days are obtained;Finally,integrate photovoltaic,wind power,hydropower and load data,and build a complete set of wind light water load scenarios.(2)Aiming at evaluating the overall complementarity between multiple energy sources,a method to evaluate the complementarity between three energy sources simultaneously is proposed.Combining the traditional correlation coefficient with three-dimensional vector,the complementary characteristics of any two energy combinations can be reflected at the same time through three-dimensional space;The compromise programming method is used to further analyze the three-dimensional space vector to obtain the overall complementary characteristics of the three energy sources;Finally,based on different time scales such as season,month and day,the complementary characteristics of wind light water energy in different time scales are analyzed and verified.(3)To verify the load supporting capacity of the multi-energy complementary system after it is connected to the power grid,and more reasonably distribute the proportion of different types of renewable energy,this paper introduces a resource aggregator that can be used as the "link" between the multi energy complementary power generation side and the power load side,and analyzes the process of renewable energy being sent to the power grid through the multi energy complementary system into a "Muti Energies-Load" Chain(E-LC)solution,It greatly increases the flexibility of renewable energy and combines wind power,photovoltaic renewable energy without regulation ability with Hydropower to become a multi-energy complementary power supply with regulation ability.According to the different functions of the E-LC link,the optimal configuration models of base-load,peak-shaving,and fully-complementary operation modes are constructed,respectively,and a Relief F-Apso hybrid algorithm is proposed to solve the model.Finally,the different capacity configurations of various types of renewable energy in multi-energy complementary systems under different operation modes are obtained.(4)Based on the E-LC link structure and optimal allocation results,taking into account the interests of multi-energy complementary power generation subjects and resource aggregators,a multi-objective E-LC link comprehensive benefit model with the lowest power generation cost of the multi-energy complementary system,the largest net income of resource aggregators and the smallest carbon emission is constructed,and six typical E-LC schemes with three operation modes of base-load type,peak-shaving type,and fully-complementary type are taken as the objects,A new QR-NSGA-III multi-objective optimization algorithm is proposed for optimization solution,and the optimal compromise solution of each scheme to achieve a better balance between the lowest power generation cost,the maximum net income of resource aggregator and the minimum carbon emission of the multi-energy complementary system is obtained.