冷热电气多能互补的微能源网鲁棒优化调度

随着能源结构调整，集成风/光等可再生能源输入、冷热电气等多种能源互补输出的微能源网得到了逐步发展，如何协调调度微能源网内冷热电气源网荷成为当前研究热点。建立了冷热电气多能互补的微能源网在孤岛/并网模式下的协调调度模型，并利用供热/供冷系统的热惯性和热/冷负荷的柔性，发挥供热/供冷系统的“储能”功能，以电转气(P2G)装置实现电-气网络双向互通。模型采用鲁棒线性优化理论将随机优化模型进行确定性转化，取得经济性和鲁棒性的适当折中。算例仿真验证了温度负荷储能特性对微能源网灵活调度的优化作用和鲁棒性指标对优化结果的协调作用。

Robust Optimal Dispatch of Micro-energy Grid with Multi-energy Complementation of Cooling Heating Power and Natural Gas

With the adjustment of energy structure, micro-energy grid integrated with renewable energy source(RES)input such as wind/photovoltaic(PV)and multi-energy complementation output of cooling heating power and natural gas has been gradually developed. How to coordinate and dispatch the various kinds of energy resources above within micro-energy grid becomes a research hotspot. In this paper, the coordinated dispatching models of micro-energy grid in islanded/grid-connected modes with multi-energy complementation of cooling heating power and natural gas are established. Meanwhile, the thermal inertia of the heating/cooling system and the flexibility of the heating and cooling are considered to develop energy storage function of the heating/cooling system. The power to gas(P2G)device is introduced to achieve the two-way flow of energy between the electric power and natural gas network. Based on Kang''s robust optimization, the stochastic optimization models are transformed into the deterministic optimization models to achieve a compromise between economics and robustness. The simulation results demonstrate the optimization effect of energy storage characteristics of temperature loads on flexible dispatch of micro-energy grid and coordination function of robust index on optimization results.