期刊文献+

基于一致性的智能微电网多目标经济调度研究

Consensus-Based Multi-Objective Economic Dispatch Method in Smart Microgrid
下载PDF
导出
摘要 针对智能微电网经济调度存在需满足多约束条件、调度速度慢和精度低等问题,提出了一种兼顾调度速度与精度的分布式经济调度方法。首先建立了考虑环境效益因素的多目标经济调度问题模型;提出了一种一致性算法与能源转换器相结合的分布式经济调度方法,采用领导-跟随一致性算法驱动增量成本收敛到主电网电价,基于平均一致性算法估计微电网的全局功率不匹配,通过能源转换器计算与配电系统交换的增量功率,使系统渐近地实现电力供需平衡;最后基于Lya-punov稳定性理论对所提出经济调度方法的收敛性进行分析。数值仿真结果表明,所提分布式经济调度方法在保证收敛速度与质量的基础上,使智能微电网渐进且准确地达到最优经济调度状态。 Aiming at the problems that the economic dispatch(ED)of smart microgrid needs to meet multiple constraints,slow dispatch speed and low precision,a distributed ED method that takes into account dispatch speed and accuracy is proposed.Firstly,a multi-objective ED problem model considering environmental benefits was established.Secondly,a distributed ED method combining a consensus algorithm and an energy router was proposed.The leader-follower consensus algorithm was used to drive incremental cost convergence to the main grid electricity price.The global power mismatch of the microgrid was estimated based on the average consensus algorithm.The incremental power exchanged with the distribution system was calculated through the energy router,so that the system achieved the balance of power supply and demand asymptotically.Finally,the convergence of the proposed ED method was analyzed based on Lyapunov stability theory.The numerical simulation results show that the proposed distributed ED method enables the smart microgrid to gradually and accurately achieve the optimal ED state on the basis of ensuring the convergence speed and quality.
作者 安宝祥 陈珍萍 贺文 付保川 AN Bao-xiang;CHEN Zhen-ping;HE Wen;FU Bao-chuan(School of Electronics and Information Engineering,Suzhou University of Science and Technology,Suzhou Jiangsu 215009,China;Suzhou Smart City Research Institute,Suzhou Jiangsu 215009,China)
出处 《计算机仿真》 北大核心 2023年第10期86-93,171,共9页 Computer Simulation
基金 国家自然科学基金项目(61803279,61876121,51874205) 江苏省研究生科研与实践创新计划项目(SJCX22_1565)。
关键词 智能微电网 经济调度 一致性 环境效益 分布式优化 Smart microgrid Economic dispatch Consensus Environmental benefits Distributed optimization
  • 相关文献

参考文献5

二级参考文献42

共引文献131

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部