面向输电系统的分布式分层交易式能量管理

Advanced management algorithms are required in modern power systems to sustain energy supply with the high-est availability and lowest cost.These algorithms need to be ca-pable of not only maintaining scalability,tractability,and priva-cy,but also enabling the utilization of grid-edge aggregated flex-ibilities in transmission systems.This paper proposes a distrib-uted hierarchical transactive energy management(TEM)scheme to manage peak load and line congestion problems us-ing connected and aggregated flexibilities.In the scheme,re-source owners can privately solve their respective preference problems and send their scheduled power to the corresponding node operator(NO).Afterward,NOs solve a coordination prob-lem to harmonize the actions of resource owners at the same node.Meanwhile,the independent system operator(ISO)up-dates control signals to steer the scheduled power to a feasible and optimal point.To accomplish all these,a hybrid decomposi-tion approach is further proposed based on consensus+exchange alternating direction method of multipliers(CE-ADMM)and dual decomposition(DD)(CE-ADMM+DD).Besides,a dynami-cally constrained cutting plane(DC-CP)update algorithm is evolved to control the feasibility condition and minimize sensi-tivity to initialization.The proposed hybrid decomposition ap-proach is verified and its performance is compared with other reported approaches.Application to various networks verifies its scalability,enhanced accuracy,and convergence speed.