不同运行模式下的交通自洽能源系统架构配置优化

Configuration optimization for transportation self-consistent energy system architectures under different operation modes

为推进交通空间内的可再生能源利用,针对复杂多变的交通环境及工程建设运营条件,提出了4种运行模式及对应的交通自洽能源系统架构,并建立每种运行模式下的系统架构配置优化模型,使用改进非支配排序遗传算法对配置优化模型进行求解;结合案例对不同运行模式下的系统架构配置方案的影响因素进行分析,给出了不同运行模式下的系统架构配置方案性能特征及适应交通环境。研究结果表明:运行模式A的经济性和环保性最好,建设条件容易达到,但系统可靠性最差,无附加约束情况下模拟运行结果显示缺电概率为6.7%,低重要性负荷断电概率为23.23%;运行模式D的系统可靠性最佳,但对并网条件要求高,并网联络功率可达483.53 kW;模式B和C的特征较为均衡,可应用交通环境最多;不同优化目标的优化方向存在冲突,技术或环保性能指标每提高1%,经济投入都将增加数百万元;弃电率主要影响输出功率具有强烈波动的电源及储能的配置容量,本文案例中利用水电时弃电率超过40%;不同约束指标与优化目标之间联动影响,且根据不同约束要求的严格程度差异,存在约束遮盖现象。

In order to promote the utilization of renewable energy in transportation space,four operation modes and corresponding transportation self-consistent energy system architectures were proposed to adapt to the complex and changeable traffic environment and engineering construction and operation conditions.Configuration optimization models of system architectures were established under each operation mode,and the improved non-dominated sorting genetic algorithm was used to solve the configuration optimization models.Combined with case studies,the influencing factors of system architecture configuration schemes under different operation modes were analyzed,and the performance characteristics and adaptability of system architecture configuration schemes to the traffic environment under different operation modes were given.Research results show that operation mode A has the best economic and environmental protection performance,and it is easy to meet construction conditions,but the system reliability is the worst.The simulated operation results under no additional constraints show that the energy loss possibility is 6.7%,and the low-importance load power cut possibility is 23.23%.Operation mode D has the best system reliability,but it requires high grid connection conditions,with a grid connection power of up to 483.53 kW.The characteristics of modes B and C are more balanced and can be applied to most traffic environments.There are conflicts between the optimization directions of different optimization objectives.For every 1%increase in technical or environmental protection performance indicators,the economic investment will increase by millions.The power discard rate mainly affects the configuration capacity of power sources with strong fluctuation in output power and energy storage.In the case of this paper,when hydropower is used,the power discard rate exceeds 40%.There is a linkage effect between different constraint indicators and optimization objectives,and there is a constraint masking phenomenon based on the difference in the strictness of different constraint requirements.