含电转气设备的气电互联综合能源系统多目标优化

随着能源互联网的发展,气电互联等综合能源系统成为未来能源利用的重要形式。电转气(P2G)技术的日趋成熟,为可再生能源消纳的问题提供了新的解决方案。在此背景下,提出一种含P2G的气电互联综合能源系统的多目标优化调度模型。模型考虑了系统运行成本最低、环境污染最小以及弃风成本最少三个目标,用多目标粒子群算法对模型进行求解,然后利用模糊理论挑选综合满意度最大的解作为折衷解,并通过算例验证了该模型的有效性;分析了P2G能够有效地对可再生能源进行消纳;发现了天然气负荷的变化对电力系统调度安排有较大冲击,进而影响系统的经济性和污染排放。

Multi-objective Optimal Operation for Integrated Natural-gas and Electricity Energy Systems Considering Power-to-Gas

With the development of the energy Internet, integrated natural-gas and electricity energy systems have become an important form of the future energy utilization. Power-to-Gas (P2G) technique provides an alternative solution for renewable energy accommodation. Given this background,the paper presents an optimal dispatch model for integrated energy systems with P2G devices. The model considers multi-objectives, including minimum operation cost, lowest environmental pollution and wind curtailment cost. The multi-objective particle swarm algorithm is used to solve the problem, in which fuzzy theory is applied to choose the best solution with the largest comprehensive satisfaction. Numerical results verify the effectiveness of proposed model and the positive role of P2G in renewable energy accommodation. The results also indicate the changes of natural-gas load will impact the scheduling of power system, and further influence the system operation cost and environmental pollution.