Optimal Operation Strategy for Micro-Energy Grid Based on the C&CG Algorithm

An electricity-heat-gas combined micro-energy grid can achieve complementary advantages with unified and coordinated operations of multiple energy sources, and it could also reduce environmental pollutions. In this paper, a multi-objective, two-stage robust optimization scheduling model based on a micro-energy grid is developed with consideration of the renewable energy sources and load uncertainties. The proposed optimization-based scheduling problem is then solved by a robust optimization algorithm, namely the C&CG algorithm. The CHP (combined heating and power), P2G (power to gas), ground source heat pump, photovoltaic (PV) and energy storage devices are modeled as well as the characteristics of uncertainties. The objective is to minimize the total operating cost, and in the meantime to maximize the energy utilization efficiency in a micro-energy grid system. The methodology proposed in this paper is validated through a case study based on a simplified energy network. Results show the optimality and effectiveness of the proposed strategy.