随着地理上形成的区域综合能源系统（regional integrated energy system,RIES）逐渐增多,在转向能源互联网的初始阶段中,进行已有配电网络的扩展规划时面临着新的要求。为充分利用RIES可实现多能互补利用的优势,提出一种考虑区域综合...随着地理上形成的区域综合能源系统（regional integrated energy system,RIES）逐渐增多,在转向能源互联网的初始阶段中,进行已有配电网络的扩展规划时面临着新的要求。为充分利用RIES可实现多能互补利用的优势,提出一种考虑区域综合能源系统优化运行的配电网扩展规划方法,用于满足负荷增长并促进资源的优化利用。首先,从能源生产、转换、存储和使用出发,构建了含多种能源设备和需求响应负荷的RIES,并分析了RIES内部能量间的转换关系。其次,基于多代理系统（multi-agentsystems,MAS）搭建包含主管层、区域层、设备层的3层交互结构,实现空间尺度上不同实体的相互作用。基于此结构,对含居民、商业、工业类区域综合能源系统的配电网,建立了双层优化模型,上层进行配电网的扩展规划,下层实现区域综合能源系统的优化运行,并分析了上下层模型间的数据传递关系。然后,采用遗传膜算法（genetic membrane algorithm,GMA）和序列二次规划法（sequentialquadraticprogramming,SQP）嵌套求解上下层模型。最后,仿真算例表明,考虑区域综合能源系统优化运行的配电网规划可以减少规划的总成本,提高能源利用效率和新能源消纳率。展开更多
The temperature of proton exchange membrane fuel cell stack and the stoichiometric oxygen in cathode have relationship with the performance and life span of fuel cells closely. The thermal coefficients were taken as i...The temperature of proton exchange membrane fuel cell stack and the stoichiometric oxygen in cathode have relationship with the performance and life span of fuel cells closely. The thermal coefficients were taken as important factors affecting the temperature distribution of fuel cells and components. According to the experimental analysis, when the stoichiometric oxygen in cathode is greater than or equal to 1.8, the stack voltage loss is the least. A novel genetic algorithm was developed to identify and optimize the variables in dynamic thermal model of proton exchange membrane fuel cell stack, making the outputs of temperature model approximate to the actual temperature, and ensuring that the maximal error is less than 1 ℃. At the same time, the optimum region of stoichiometric oxygen is obtained, which is in the range of 1.8-2.2 and accords with the experimental analysis results. The simulation and experimental results show the effectiveness of the proposed algorithm.展开更多
基金Project (2003AA517020) supported by the National High-Technology Research Plan of China
文摘The temperature of proton exchange membrane fuel cell stack and the stoichiometric oxygen in cathode have relationship with the performance and life span of fuel cells closely. The thermal coefficients were taken as important factors affecting the temperature distribution of fuel cells and components. According to the experimental analysis, when the stoichiometric oxygen in cathode is greater than or equal to 1.8, the stack voltage loss is the least. A novel genetic algorithm was developed to identify and optimize the variables in dynamic thermal model of proton exchange membrane fuel cell stack, making the outputs of temperature model approximate to the actual temperature, and ensuring that the maximal error is less than 1 ℃. At the same time, the optimum region of stoichiometric oxygen is obtained, which is in the range of 1.8-2.2 and accords with the experimental analysis results. The simulation and experimental results show the effectiveness of the proposed algorithm.
