Energy management optimization strategy of DC microgrid based on consistency algorithm considering generation economy

Abstract

Renewable and clean energy power generation has effectively reduced the carbon emissions of thermal power generation. Vigorously developing renewable energy power generation is an important way to achieve the dual carbon goal. The energy dispatching of DC microgrids is flexible and fast and has gradually become an important part of the distribution network. However, the distributed renewable energy generation in the DC microgrid is intermittent and random, resulting in large output fluctuations. To address the energy coordination control of DC microgrid distributed generation units, a distributed consistency algorithm-based energy optimization strategy that takes into consideration power generation costs is proposed. Graph theory is used to construct the multi-agent communication architecture of the DC microgrid for wind turbines, diesel storage, and charging. With the control goal of reducing bus voltage fluctuation and power-producing cost, distributed micro source and load power balancing equations were created. The micro source constraint equations are used to construct the equal consumption micro increment function. The microgrid utilizes the distributed consistency approach to enhance the power distribution of wind turbine diesel storage and charging. The simulation results demonstrated that the proposed strategy maximizes distributed renewable energy generation capacity, decreases DC bus voltage fluctuation, and achieves power balance and optimal control of a DC microgrid.