Multi-objective energy management of community microgrids based on integrated electricity-carbon pricing

The diversification of electricity retail entities promotes energy interaction within microgrids(MGs), further driving carbon neutrality in the power system. Therefore, optimizing community microgrids energy management to achieve economic low-carbon goals is necessary. This paper presents a two-stage energy management strategy based on electricity-carbon pricing. First, the time-coupled characteristics of energy storage and the intermittence of renewable energy are considered, and the day-ahead optimal scheduling of the unit equipment is initially performed. Then, a real-time electricity-carbon integrated pricing mechanism considering dynamic optimal power flows based on the Stackelberg game is proposed to incentivize MGs to participate in power trading. In the game model, the distribution system operator(DSO) is the leader, and the optimal carbon-electricity pricing is based on the lowest carbon-electricity cost, while the voltage quality of all nodes is considered. MGs are the followers and minimize the carbon-electricity cost by optimizing the load. Finally, the case study demonstrates that the proposed energy management method can reduce the operation cost and carbon emissions while ensuring the voltage quality at all nodes.