Distributed energy management coordinating energy scheduling and trading in transactive energy market

The emergence of prosumers that is capable of both generating and consuming energy, coupled with advancements in communication technology, is driving the traditional energy market towards decentralization. Consequently, a novel transactive energy market (TEM) has evolved, enabling prosumers to trade energy in a distributed manner. The TEM allows prosumers to trade transactive energy in a distributed manner. To address the challenges associated with TEM, this study proposes a distributed energy management framework that coordinates energy scheduling and trading. In this model, energy scheduling and energy trading were coordinated in TEM. Specifically, a consensus-based energy supply and demand matching algorithm is proposed to balance local energy trading. Next, based on the matching results of the energy supply and demand in the TEM, a bilateral peer-to-peer energy trading algorithm based on the alternating direction method of multipliers (ADMM) is proposed to support sellers in selecting trading partners independently according to the bilateral location. This measure reduced TEM operating costs. To improve ADMM convergence, an iteration-based adaptive penalty parameter ADMM (IAPP-ADMM) algorithm is proposed. Numerical simulations based on a 14-node test system prove the effectiveness and rationality of the proposed framework.