Coordinated Planning of Integrated Energy Station Based on Stochastic Multi-source Uncertain Dispatch

Abstract:
With the continuous progress of new energy technology, the grid-connected capacity of stochastic energy is increasing year by year. For the distribution network with relatively less load, the grid-connected capacity of stochastic energy may exceed the load of the distribution network in this trend, which is followed by the burden of consumption of stochastic energy resources. The output of random energy is greatly affected by the environment, showing obvious uncertainty. This paper studies the uncertainty factors of the source side and load side in the operation process of the electricity-gas integrated energy system, in which the source side mainly refers to the uncertainty of distributed wind power, and the load side mainly refers to the uncertainty of several flexible loads such as transferable electric/gas load, reducible electric/gas load and convertible electric load. In the case of a high proportion of distributed wind power connected to the distribution network, the target cascade distributed optimization algorithm is used to explore the distributed coordinated optimization operation of the electricity-gas integrated distribution network, aiming at improving the economy of the operation of the two networks and promoting the consumption of renewable energy to the greatest extent on the premise of ensuring the data privacy of the distribution network and the gas distribution network.