基于NSGA-Ⅱ算法的分布式冷热电联产系统低碳经济运行策略

Low-carbon Economic Operation Strategy of Distributed CCHP System Based on NSGA-ⅡAlgorithm

分布式冷热电联产(combined cooling,heating and power,CCHP)系统是综合能源系统实现“双碳”目标的有效途径,合理的运行策略是提高CCHP系统一次能源利用效率、降低碳排放与运行成本的关键。针对含燃气机组、可再生能源系统和外购能源的电气综合CCHP系统,研究并网且上网模式下的优化运行策略,提出考虑售电价格的规则控制策略以及基于非支配排序遗传算法Ⅱ(non-dominated sorting genetic algorithm-Ⅱ,NSGA-Ⅱ)的智能控制策略;在此基础上,进一步研究融合拥挤度算子和初始约束条件的改进型NAGA-Ⅱ算法。算例对比结果表明:相比于规则控制策略,采用改进型NSGA-Ⅱ控制策略的CCHP系统能源消耗量减少30%以上,运行成本降低6%以上,有效实现了系统的低碳经济运行;同时算法具有较好的收敛性,可推广应用至实际CCHP系统中。

The distributed combined cooling,heating and power(CCHP)system is an effective way for the integrated energy system to achieve the dual-carbon goal.A reasonable operation strategy is the key to improving the primary energy utilization efficiency of the CCHP system and reducing carbon emissions and operating costs.For the electricity-gas integrated CCHP system including gas-fired units,renewable energy systems and outsourced energy,this paper studies the optimal operation strategy under the grid-connected and grid-connected mode,and proposes a rule control strategy considering the price of electricity sales and the intelligent control strategy based on the non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ).On this basis,it further studies the improved NAGA-Ⅱalgorithm which combines the congestion operator and the initial constraint condition.The results of the case comparisons show that compared with the rule control strategy,the energy consumption of the CCHP system using the improved NSGA-Ⅱcontrol strategy is reduced by more than 30%,and the operating cost is reduced by more than 6%,effectively realizing the low-carbon economic operation of the system.Meanwhile,the algorithm has good convergence and can be extended and applied to the actual CCHP system.