Low-Carbon Energy Management Strategy for Micro-Energy Grids Considering Dynamic Pricing Mechanisms

This paper presents a low-carbon energy management strategy for microgrids that uses dynamic pricing mechanisms to balance the interests of microgrid operators and users. The strategy involves using carbon capture power-to-gas devices and ground source heat pumps to reduce system carbon emissions. The Information Gap Decision Theory addresses the output uncertainty of renewable energy. The strategy has an upper layer that decides on energy prices and device output based on market prices and user demand and a lower layer that utilizes demand response to decide on load demand based on energy prices. The bilevel nonlinear model is transformed into a single-layer mixed-integer linear programming model for solution, and a case study verifies the strategy's effectiveness.