...
首页> 外文期刊>International journal of electrical power and energy systems >Optimal distributed transaction of multiple microgrids in grid-connected and islanded modes considering unit commitment scheme
【24h】

Optimal distributed transaction of multiple microgrids in grid-connected and islanded modes considering unit commitment scheme

机译:考虑单位承诺方案的网格连接和岛状模式中多个微电网的最佳分布式交易

获取原文
获取原文并翻译 | 示例

摘要

This paper addresses multi-directional energy trading problems (ETPs) for multiple microgrids (MMGs) in grid-connected and islanded modes considering the unit commitment (UC) scheme. Firstly, a mixed integer quadratic programming (MIQP) model is formulated to describe unit commitment problems (UCPs) for each microgrid (MG) and energy transactions among MMGs. Then binary variables from UCPs are relaxed to convert the original non-convex model into a tractable convex one. Furthermore, an alternating optimization method (AOM) composed of alternating direction method of multipliers (ADMM) and MIQP block is proposed to solve continuous and binary variables alternately. Especially, a rounding-off procedure with thresholds is designed to treat out-of-limit problems of generators and smooth the parameter passing between ADMM and MIQP block with corresponding convergence proof. Finally, comprehensive comparisons are conducted to demonstrate the effectiveness of proposed method. Simulation results indicate that AOM can be directly applied to solve ETPs for MMGs in a distributed manner, and thresholds are effective for operators to adjust the operating range of generators flexibly under the condition that ETPs are completely solvable.
机译:本文在考虑单位承诺(UC)方案的情况下,在网格连接和岛状模式中为多个微电网(MMG)提供多向能量交易问题(ETPS)。首先,配制混合整数二次编程(MIQP)模型以描述每个MicroGrid(MG)和MMG之间的能量事务的单元承诺问题(UCP)。然后放宽UCP的二进制变量以将原始的非凸模型转换为易凸起的凸起。此外,提出了一种由乘法器(ADMM)和MIQP块的交替方向方法组成的交替优化方法(AOM)以交替求解连续和二进制变量。特别是,具有阈值的舍入过程旨在处理发电机的超限制问题,并使ADMM和MIQP块之间的参数平滑,具有相应的收敛性证明。最后,进行了全面的比较来证明所提出的方法的有效性。仿真结果表明,可以直接应用AOM以分布方式求解MMG的ETPS,并且阈值对于操作者可以灵活地调节ETPS完全可溶的情况下的发电机的操作范围。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号