【摘要】 微能源网作为能源互联网的缩影,可以实现多种能源互补和替代用能。为反映系统的实际运行情况,基于冷热电气耦合的微能源网,在传统微电网结构中增加了电转气设备和冰蓄冷空调,并采用多目标优化来协调微能源网运行的经济性、环保性以及节能性。以最小化运行费用、碳排放费用、一次能源转化费用作为优化目标,计及风电与光伏出力的不确定性,构建了基于场景分析的冷热电气联供型微能源网优化调度模型,并采用最大模糊满意度法将多目标调度问题转化为单目标调度问题。最后,在MATLAB中进行算例仿真,利用CPLEX求解器进行求解,验证了所提模型的准确性与方法的有效性。更多还原

【Abstract】 As the epitome of the energy internet, the microgrid can realize the complementary and alternative energy consumption of multiple energy sources. Therefore, the composition and scheduling of the microgrid are complicated. In this paper, the multi-energy microgrid combined cooling, heating, power and gas is analyzed to reflect the actual operation of the system. Then, in order to balance the operating costs, carbon emissions costs and primary energy costs, a multi-objective optimal dispatch model is presented. Besides, this paper also considers the uncertainty of wind energy and photovoltaic power generation, and establishes an optimal dispatch model for combined cooling, heating and power based on scenario analysis technology. Furthermore, Power to gas(P2 G) and ice-storage air-conditioning(ISAC), which could improve the operating performance of the system, are added to the multi-energy system as well. A maximum fuzzy satisfaction method is adopted to transform multi-objective scheduling problem into single-objective scheduling problem. A case simulation was carried out in MATLAB, and the CPLEX solver was used to solve the problem, which verified the accuracy of the proposed model and the effectiveness of the method.更多还原