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作 者:贾露露 江晓东[2] JIA Lulu;CHIANG Hsiao-Dong(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;School of Electrical and Computer Engineering,Cornell University,Ithaca 14853,USA)
机构地区:[1]天津大学电气自动化与信息工程学院,天津300072 [2]美国康奈尔大学电气与计算机工程学院,伊萨卡14853
出 处:《电力系统及其自动化学报》2021年第12期117-124,共8页Proceedings of the CSU-EPSA
摘 要:供电恢复是提高现代配电网可靠性的关键任务之一,由于大规模离散变量、非线性约束及多个相互矛盾的目标函数的存在,供电恢复问题的快速准确求解通常很复杂。首先,本文提出了考虑用户偏好的供电恢复模型,允许用户直接对每个目标函数设置具体偏好范围而不影响彼此之间的独立性;其次,基于非线性动力学系统提出了一种改进的整合用户偏好法对上述模型进行快速求解,将计算偏好可行解转化为计算商梯度系统稳定平衡流形的问题;最后,通过用户主导的交互方式在53节点标准测试系统上验证了所提方法的有效性和灵活性。Service restoration is one of the key tasks to improve the resilience of modern distribution networks.However,due to the existence of large-scale discrete variables,nonlinear constraints and multiple contradictory objective functions,SR is faced with great challenges in terms of solution quality and solving speed.First,a user preferencebased SR model is constructed in this paper,which allows users to directly set a specific preference range for each objective function without compromising the independence between each other.Then,an extended user preference enabling(UPE)method based on nonlinear dynamical system is proposed to fast calculate the user-preferred solution,which is further transformed into the problem of calculating the stable equilibrium manifold of a quotient gradient system(QGS).Finally,the effectiveness and flexibility of the proposed method are verified on a 53-node standard test system in an interactive manner dominated by users.
关 键 词:供电恢复 多目标优化 偏好可行解 非线性动力学系统
分 类 号:TM744[电气工程—电力系统及自动化]
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