Distribution Network Planning With Distributed Generation Considering Uncertaintie

In today’s increasingly tense energy landscape,distributed power generation has become an effective means to alleviate the energy crisis and environmental pollution by virtue of its own characteristics such as cleanliness,environmental protection,and resource conservation.However,with the increasing proportion of new energy sources,the pattern of the distribution network has also undergone tremendous changes,which has brought many uncertainties to the planning and operation of the system.Therefore,on the basis of considering the randomness of clean energy output,it is of great significance to reasonably configure the location and capacity of distributed power sources and improve the level of their consumption in the distribution network.Based on the comprehensive consideration of source-load timing and geographic location correlation,this paper adopts the scenario analysis method to study the distribution network planning with distributed power generation.The main work is as follows:Firstly,the power generation principles and structures of several distributed power sources are briefly introduced,and wind turbines and photovoltaics with uncertain output power are regarded as the distributed power sources for grid-connected research.The influence of distribution network voltage distribution and active power losses.Secondly,according to the output characteristics and load distribution characteristics of distributed power generation in different time periods,a probability model of wind power,photovoltaic units and load demand with time-series differences is constructed.The source-load sample matrix with correlation in each time period is obtained through Latin hypercube sampling technology and Nataf transform,and the comparison with MCS proves the reliability of the method in this paper,and the simulation analysis shows that the correlation affects the planning and operation of the system.the impact caused.The improved K-means clustering algorithm is used to reduce a large number of original scenes,and a typical wind-light-load operation scene is established.On the basis of ensuring the effectiveness of scene reduction,the calculation efficiency is improved,and at the same time,it provides a powerful tool for subsequent planning research.model support.Then,the location and capacity of distributed power sources are optimized on the basis that no new load nodes appear in the distribution network,and the typical operating scenarios obtained in Chapter 3 are used as the basis of the model,and the site selection method of active power loss sensitivity is used to screen the waiting The nodes of distributed power generation are installed to reduce the search solution space of the algorithm,and different planning schemes are solved through the improved genetic algorithm.Experiments show that taking into account the timing and related performance of distributed power output and load demand can effectively improve the economic level of system operation and promote the consumption of distributed power.Finally,on the basis of the emergence of new load nodes in the distribution network,the expansion planning of the distribution network with distributed power sources is carried out.And the lowest environmental compensation cost is the goal.At the same time,considering factors such as new distribution grids,line upgrades and replacements,and distributed power generation location and capacity,the root node fusion method is used to determine the initial grid,and the knowledge of graph theory is used to achieve infeasible solutions in the algorithm solution.The solution of the optimal planning scheme of the distribution network with distributed power generation is realized by using the improved genetic algorithm.