基于信息物理社会融合的新能源消纳策略

Renewable Energy Accommodation Strategy Based on Cyber-Physical-Social Integration

随着信息物理系统的概念逐渐扩展为信息物理社会系统,以及新能源对新型电力系统的大规模渗透,新能源消纳水平提升和新型电力系统经济运行面临着更高的挑战。通过高可靠性的蜂窝星形网络的信息采集和传递将信息、物理和社会系统紧密相连,构建了基于信息物理系统和信息物理社会系统的优化调度模型。为提升新能源的消纳水平,还通过考虑碳交易成本来减少火力发电的占比。在社会系统中,电动汽车聚合商受充电成本的刺激从而积极参与电力系统的优化调度。通过CPLEX对分别包含基于信息物理系统和信息物理社会系统两种优化模型的IEEE 33节点电力系统进行仿真,计算和对比优化结果验证了基于信息物理社会系统优化模型的有效性,其不仅大幅提升了新能源的消纳水平,还减少了电动汽车聚合商的充电成本。此外,发电系统的运维成本和碳交易成本也得到了改善。信息物理社会系统在能源转型中的应用实现了新型电力系统中各主体之间的互利共赢。

With the gradual expansion of the concept of cyber-physical system(CPS)into cyber-physical-social system(CPSS),and the large-scale penetration of the renewable energy into the new power system,the level of renewable energy accommodation and the economic operation of the new power system are facing higher challenges in parallel.The cyber,physical and social systems are closely connected through the information collection and transmission of the highly reliable cellular star network,and the optimal scheduling models based on CPS and CPSS are constructed.To improve the level of renewable energy accommodation,the carbon trading cost is also considered to reduce the proportion of thermal power generation.In the social system,the electric vehicle aggregators are stimulated by the charging cost to actively participate in the optimal scheduling of the power system.The IEEE 33-bus system containing two optimization models based on CPS and CPSS are simulated through CPLEX,respectively.The effectiveness of the proposed CPSS based optimization model is verified by calculating and comparing the optimization results,which not only greatly improves the level of renewable energy accommodation,but also reduces the charging cost of electric vehicle aggregators.In addition,the operation and maintenance cost of the power generation system and the carbon trading cost are optimized.Application of the CPSS in energy transition realizes the mutual benefit and win-win among various entities in the new power system.