Distributed Coordination And Optimization Of Electricity-gas Integrated Distribution Networks Considering Uncertainties

In recent years,renewable energy such as wind power have developed increasingly prosperous.And they have been vigorously promoted because of their clean and pollution-free.It has become an inevitable trend to connect more and more distributed wind power in the distribution network.However,the load on the distribution network is relatively small.The connection of a high proportion of wind power resources will inevitably lead to phenomena such as wind curtailment.Uncertainties have become increasingly prominent,further affecting the optimal operation of the system.Market incentives enable the user to participate extensively in the optimization of the system.Uncertainties such as user psychology further exacerbate the impact of uncertainties.Power-to-gas(P2G)and gas turbines closely couple the power distribution network and the gas distribution network,which is conducive to the consumption of wind power.Electricity demand response is also gradually transitioning to an integrated demand response that includes multiple energy sources.The problem of uncertainties further extends to the electricity-gas integrated distribution networks.How to realize the optimization of the electricity-gas integrated distribution networks under the influence of the source-load uncertainties is very necessary.Firstly,this paper briefly introduces the integrated distribution networks.The coupling elements in the system are introduced and the mathematical model is established.Then,in view of the uncertainties caused by wind power,a probability distribution fitting was performed on the historical error,and the distribution function of error was determined.And use the flexible and rapid adjustment capabilities of gas turbines and P2G to deal with the uncertainty of wind power output.Utilize the flexible and rapid adjustment capabilities of gas turbines and P2G to deal with the uncertainties of wind power.Next,considering that the power distribution network and the gas distribution network belong to different operating organizations,the analysis target cascading(ATC)algorithm is used to realize the distributed optimization of the two networks.With the continuous development of the market incentive,the user has become more and more involved in the optimization of the system.Therefore,this paper establishes an uncertainty response model for several types of demand response.And use the transformable load(TL)as another coupling unit to participate in the optimized operation of the integrated distribution network.Finally,an electricity-gas integrated distribution networks consisting of an IEEE 33-node power distribution network and a 24-node gas distribution network is used for simulation.The results proved the necessity of considering the uncertainties of wind power and demand response.At the same time,it proved the effectiveness of P2G and gas turbines in coping with uncertainties,and the effectiveness of demand response in economy,cutting edge and filling valley.