冷热电联供系统(combined cooling heating and power, CCHP)与清洁能源的结合成为当前研究热点。将传统联供系统与太阳能相结合，充分利用可再生能源，在满足冷热电多重需求的同时提高了能源利用率和环境效益，以实现绿色经济可持续发展。为了研究冷热电联供系统风光出力不确定性的影响，采用改进的基于Wasserstein概率距离指标多状态方法建模。从经济、能源、环保这3个方面对系统配置进行优化，选择投运成本、一次能源消耗量和当量CO₂排放量为目标对系统进行配置评估，并采用模糊层次分析法对多目标进行求解。结果表明该文所提出的优化方法在多目标评估中是有效的，同时对比CCHP与分供系统(separation production，SP)的优化结果，证明了CCHP在经济、能源与环保方面较传统SP具有一定优势。

The combination of combined cooling heating and power(CCHP)and clean energy is considered as a hot research topic. In this paper, the traditional combined supply system and solar energy are combined to make full use of renewable energy to meet the multiple needs of hot and cold while improving energy efficiency and environmental benefits to achieve sustainable development of green economy. In order to study the influence of uncertainty on the wind power output of CCHP system, an improved Wasserstein multi-state model based on the probability distance index was proposed. The system configuration is optimized from the aspects of economy, energy and environment. The system configuration is evaluated by selecting the cost, the primary energy consumption and the equivalent CO₂ emission. The fuzzy analytic hierarchy process is used to solve the multi-objective. The results show that the optimization method proposed in this paper is effective in multi-objective evaluation. Compare with the optimization results of SP, CCHP has advantages in economy, energy and environmental protection.