Research On The New Allocation Mechanism Of Auxiliary Service Cost Considering The Consumption Of Renewable Energy

At present,the installed capacity of China’s new energy power generation continues to grow rapidly,while at the same time ensuring full grid connection and full consumption,which really brings a huge challenge to the power grid regulation capacity.The output of new energy power generation has volatility,uncertainty and intermittence,which is an unstable power supply.In addition,because the development speed of new energy is too fast than the planned speed,the peak valley difference of power consumption of the system increases,and the system regulation capacity is insufficient,so conventional power supply is required to provide peak regulation and standby auxiliary services for it.Firstly,the paper studies and calculates the demand capacity of auxiliary services under the new energy grid connection,and then studies and models the cost accounting of auxiliary services.Secondly,it models and analyzes the cost allocation of auxiliary services caused by the new energy grid connection in Multi-Agent and multi-angle.Finally,it integrates the above demand capacity calculation and auxiliary services The research results of cost accounting and auxiliary service cost allocation mechanism model and analyze the optimal grid connection strategy of new energy output.First of all,carry out the calculation of auxiliary service demand capacity under the new energy grid connection.Based on the analysis of the demand types of auxiliary services in the case of new energy grid connection,the best confidence interval estimation model of new energy grid connection output is constructed to quantify the volatility and uncertainty of new energy grid connection.Based on the best confidence interval estimation results of new energy grid connected output,the peak load regulation and reserve auxiliary service capacity caused by new energy grid connected are calculated,and the peak load regulation and reserve auxiliary service capacity caused by new energy grid connected are determined.The results show that the prediction error of new energy is related to the predicted power,and the optimal segmentation method determined by the best confidence interval estimation model can achieve a more accurate estimation of the upper and lower limits of the overall confidence interval of new energy prediction output,and then can more reasonably describe the peak shaving and reserve auxiliary service capacity caused by the grid connection of new energy generation.Then,the model of auxiliary service cost accounting is constructed.Based on the analysis of cost sources of auxiliary services,this paper analyzes and models the cost components of peak load regulation and standby auxiliary services caused by new energy grid connection.The auxiliary service cost of peak load regulation mainly consists of the fixed investment cost of peak load regulation service,the loss cost of peak load regulation efficiency and the opportunity cost of peak load regulation caused by the deviation of the generating unit from the optimal operation condition.The standby auxiliary service cost is composed of the fixed cost of the standby installed capacity and the opportunity cost caused by the reserved standby capacity,because the variation probability of the thermal power output near its scheduling value approximately obeys the normal distribution.On this basis,the above-mentioned cost accounting models are deduced to form a mature auxiliary service cost accounting formula.The results show that the grid connected with new energy will lead to the further increase of the peak load regulation cost and reserve cost,which puts forward higher requirements for the peak load regulation capacity and reserve capacity of the system.Then,the allocation mechanism of auxiliary service cost caused by new energy grid connection is proposed.By introducing risk factors to improve the classic Shapley value assisted service cost allocation method,and combining the solution advantages of eans assisted service cost allocation method,an eans improved Shapley value assisted service cost allocation model considering entropy weight method is proposed.Based on this model,the cost allocation problem between new energy sources and loads is studied and analyzed firstly,and then the new energy resource is analyzed Modeling and deducing the problem of auxiliary service cost allocation between wind power and photovoltaic,and expanding the research subject to new energy power stations,forming mature and replaceable solutions for peak load regulation and standby auxiliary service cost allocation.The results show that there is a big difference between new energy and load in the allocation of auxiliary service cost for peak load regulation.The difference between them is relatively small in the allocation of auxiliary service cost for peak load regulation of new energy.When new energy participates in the allocation of auxiliary service cost,its revenue will drop by about5% left Right.The improvement of the classic Shapley value method makes the risk of ancillary service allocation have a reasonable and differentiated measurement,which avoids the problem that the new energy takes on too much ancillary service cost allocation and leads to too much revenue reduction.The eans improved Shapley value method considering entropy weight method can make the calculation result of auxiliary service cost sharing more reasonable on the basis of combining the advantages of eans method and improved Shapley value method,so that the inclusiveness of thermal power’s access to new energy and the polarity of providing corresponding auxiliary services will be improved.Finally,the optimal strategy of new energy generation is studied.Based on the necessity analysis of new energy optimization and grid connection,it is found that making full use of the complementary characteristics of power generation output of different new energy units,the new energy grid connection optimization output curve can be formed,and the impact of new energy grid connection on the power grid can be reduced.Therefore,the cluster new energy generation grid connection prediction output combination optimization model based on the highest new energy consumption rate is proposed,which is based on the above auxiliary service demand capacity Quantity calculation model,cost accounting model and cost allocation model are used to calculate the income value of the new energy generation combination after the optimized grid connection after the allocation of the corresponding auxiliary service cost,and carry out the fitness modeling of smooth load fluctuation and the load rate contribution modeling of comprehensive load fluctuation.By introducing the improved greedy search algorithm of random factors,the new energy consumption is determined The best combination of new energy generation with the highest Na ratio.The result of the example shows that the small reduction of new energy consumption rate on the combined network point after the combined optimization brings about a great improvement of the new energy grid connection characteristics.The remaining new energy generation output that fails to participate in the combined optimization grid connection can be consumed by the energy storage equipment and demand response resources that can provide local consumption capacity near the new energy centralized network point.Thus,the impact of centralized grid connected new energy units on the grid access can be greatly reduced.On the basis of realizing the full consumption of new energy,it can not only ensure that the new energy generation has a certain income,but also ensure that it has a certain degree of adaptability to the load fluctuation law and a certain degree of load rate contribution to the grid.