天然气冷热电联供园区微网集供冷、供热、供电和供气于一体，具有能源梯级利 用的优势，能够有效地提高能源的利用率，减少污染物的排放． 本研究针对天然气冷热电 联供园区微网的能量优化调度问题，以最小运行费用为目标建立了天然气冷热电联供园 区微网的多时段动态优化调度模型，考虑了供冷网、供热网、供电网和供气网的网络运行 特性约束，以及储电、储冷和储热多种类型储能装置对微网调度的影响． 并基于场景法建 立了考虑光伏出力随机波动的园区微网能量优化调度模型，通过快速调节储能装置的储 放能功率等措施来平衡光伏出力的不确定波动． 以某个天然气冷热电联供园区微网为例， 验证了所提出优化调度模型的正确有效性． 计算结果表明，所获得的微网运行调度方案能 有效节约能量消耗，降低微网运行费用; 多种类型储能装置的协同运行能够更有效地降低 微网的运行费用，并有利于平抑光伏发电的不确定波动．

Natural gas，cooling，heating and power co-supply park micro-network provides cooling，heating， power and natural gas supply functions，and has the advantage of energy cascade utilization． It can effectively improve the energy utilization rate and reduce the emission of pollutants． Aiming at the energy optimal dispatch problem of natural gas，cooling，heating and power co-supply park micro-network，and taking the minimum operating cost as the objective function，a multi-period dynamic optimal scheduling model of the natural gas，cooling，heating and power co-supply park micro-network was established． It considered both the network operation characteristics of the cooling network，heating network，power supply network and natural gas supply network，and the influence of multiple energy storage devices including electricity storage，cooling storage and heating storage on the microgrid dispatch． Based on the scenario method，an optimal energy dispatching model of co-supply park micro-network considering the stochastic fluctuation of photovoltaic output was established，and the uncertain fluctuation of PV output was balanced by rapidly adjusting the stored power of the energy storage device． Taking a natural gas， cooling，heating and power co-supply park micro-network as an example，the correctness and effectiveness of the proposed optimal scheduling model were verified． The optimization results show that the proposed operation scheduling scheme of micro-network can effectively save the energy consumption and reduce its operating cost; the coordinated operation of multiple energy storage devices can more effectively reduce the operating cost of the micro-network and help to stabilize the uncertain fluctuations of PV power generation