基于新型BBO算法的微电网优化调度研究  

Research on Optimal Scheduling of Microgrid Based on NBBO Algorithm

作　　者：魏利胜 杨奔奔 孙瑞霞 Wei Lisheng;Yang Benben;Sun Ruixia(Anhui Key Laboratory of Electric Drive and Control,Wuhu 241000,China;School of Electrical Engineering,Anhui Polytechnic University,Wuhu 241000,China)

机构地区：[1]安徽省电气传动与控制重点实验室,安徽芜湖241000 [2]安徽工程大学电气工程学院,安徽芜湖241000

出　　处：《系统仿真学报》2023年第5期1075-1085,共11页Journal of System Simulation

基　　金：安徽省教育厅重大项目(KJ2020ZD39)。

摘　　要：针对含微型燃气轮机的微电网经济性与环保性协同优化问题,引入具有弃风弃光消纳和碳捕获能力的电转气(pow to gas,P2G)系统,提出了一种基于新型生物地理学优化算法(novel biogeography-based optimization,NBBO)的含P2G系统的微电网优化调度模型。构建含P2G系统的微电网模型,并分析主要设备的工作原理;引入风机备用容量以降低风力发电随机性的影响;建立微电网运行成本最小的目标函数,运用提出的NBBO算法求解该目标函数。通过分析可知,含P2G系统的微电网可减少9.02%的发电成本,降低25.9%的含碳氧化物排放,验证了所提含P2G系统的微电网模型的可行性及改进算法的适用性和优越性。In view of the economic and environmental collaborative optimization of a microgrid with a micro gas turbine,power to gas(P2G)system with the ability to abandon wind and light for consumption and capture carbon is introduced,and a microgrid optimal scheduling model with P2G system based on novel biogeography-based optimization(NBBO)algorithm is proposed.The microgrid model with the P2G system is constructed,and the working principle of the main equipment is analyzed.The reserve capacity of a wind turbine is introduced to reduce the influence of the randomness of wind power generation.The objective function of minimizing the operating cost of the microgrid is established,and the proposed NBBO algorithm is used to solve the objective function.The analysis shows that the microgrid with a P2G system can reduce the power generation cost by 9.02%and the emission of carbon oxides by 25.9%,which verifies the feasibility of the proposed microgrid model with P2G system and the applicability and superiority of the improved algorithm.

关 键 词：微电网 生物地理学优化算法 电转气 低碳化 策略研究 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TP391.9[自动化与计算机技术—控制科学与工程]