An Affine Arithmetic-based Optimization Method of Combined Electric and Heat System Considering Dynamic Characteristics of Network
The dynamic characteristics of heat network bring the energy transmission delay and make the influence of the spatial uncertainty sources different in time.It leads to the day-ahead dispatch of combined electric and heat system into a complex spatiotemporal coupling problem.Therefore,an affine optimization method considering the dynamic characteristics is proposed.First,the flow segmentation method and the node network model are used to establish a heat network dynamic model,considering transmission delay and suitable for looped network.On this basis,through the linearization modeling and the model convexification,the affine convex optimization model is established by the affine algorithm and the Newton-Raphson energy flow calculation principle.Then,the uncertain optimization dispatch problem of the system is solved by the affine optimization method,while keeping track of the uncertainty sources and quantifying their influence.Finally,the simulations are carried out on a 33-nodes combined electric and heat system.The results show that the proposed method can reveal the influence mechanism of uncertainty sources under the dynamic characteristics of network,and obtain a scheme with low conservativeness and high economy.
combined electric and heat systemdynamic characteristics of heat networktrack of uncertainty sourcesaffine arithmeticday-ahead dispatch