Results 91 to 100 of about 844 (191)

Convex Analysis for Minimizing and Learning Submodular Set Functions [PDF]

, 2013
The connections between convexity and submodularity are explored, for purposes of minimizing and learning submodular set functions. First, we develop a novel method for minimizing a particular class of submodular functions, which can be expressed as a
Peter Stobbe, Stobbe, Peter
core   +1 more source

Robust Joint Optimization of Transmit Power and Decoding Order in Uplink NOMA Systems [PDF]

, 2019
We consider a robust design problem for achieving max-min fairness amongst users in an uplink non-orthogonal multiple access system under imperfect channel state information.
Hieu V. Nguyen, Oh-Soon Shin, Van-Dinh Nguyen, Van-Phuc Bui   +3 more
core   +1 more source

Second order cone based multi-period reactive power optimization in active distribution networks [PDF]

, 2017
LAUREA MAGISTRALEL'ottimizzazione della potenza reattiva nei sistemi di distribuzione è un metodo efficace per mantenere ad un alto grado di qualità la sicurezza, l’economia e il funzionamento della rete.
LIU, SHIYU
core  

Two-stage resilience enhancement method for integrated electricity-gas systems through linepack and mobile compressors

International Journal of Electrical Power & Energy Systems
Extreme weather events pose significant threats to the Integrated Electricity-Gas Systems (IEGS), often resulting in catastrophic faults of critical components and subsequent disruptions in energy supply.
Chao Qin, Yongxue Wang, Shuaihu Ye
doaj   +1 more source

Shapes and recession cones in mixed-integer convex representability [PDF]

Mixed-integer convex representable (MICP-R) sets are those sets that can be represented exactly through a mixed-integer convex programming formulation. Following up on recent work by Lubin et al. (in: Eisenbrand (ed) Integer Programming and Combinatorial
Vielma, Juan Pablo, Lubin, Miles, Zadik, Ilias   +2 more
core   +1 more source

Collaborative Optimization Scheduling Method for Active Distribution Networks Considering Dispatchable Backup Batteries of 5G Base Station and Soft Open Point

Shanghai Jiaotong Daxue xuebao
As the proportion of distributed generation, mainly wind turbine generation and photovoltaic, in terminal energy consumption increases, it is of great significance to fully utilize the flexibility resources within power grids and enhance the regulation ...
GAO Chong, DUAN Yao, CHENG Ran, CHEN Peidong, ZHOU Shucan, ZHANG Shenxi, CHEN Weilin, LIU Zhiwen
doaj   +1 more source

Static output-feedback stabilization of discrete-time Markovian jump linear systems: a system augmentation approach [PDF]

, 2010
This paper studies the static output-feedback (SOF) stabilization problem for discrete-time Markovian jump systems from a novel perspective. The closed-loop system is represented in a system augmentation form, in which input and gain-output matrices are ...
Lam, James, Xiong, J, Xiong, Junlin, Shu, Z, Lam, J, Shu, Zhan   +5 more
core   +1 more source

A dynamic reconfiguration model and method for load balancing in the snow-shaped distribution network

Frontiers in Energy Research
The snow-shaped distribution network (SDN) is a cable distribution network composed of eight (or six) 10 kV feeders from four (or three) substations in a regular connection. Compared with the traditional 10 kV distribution network, SDN can support a wide
Fengzhang Luo, Xuan Wu, Zhe Wang, Jiali Duan   +3 more
doaj   +1 more source

A Combined Clearing Model of Electric Energy, Inertia, and Primary Frequency Regulation Considering Emergency Interruptible Load Service

Shanghai Jiaotong Daxue xuebao
The ever-increasing proportion of new energy units has led to prominent frequency safety issues in the power system. In order to avoid serious accidents after the system encounters large disturbance, it is necessary to purchase inertia and primary ...
ZHU Lan, ZHANG Xuehan, TANG Longjun, QIU Nianhang, TIAN Yingjie
doaj   +1 more source

Multi-Period Portfolio Optimization Model with Cone Constraints and Discrete Decisions [PDF]

This work develops a practical multi-period optimization approach that incorporates real-world constraints, including discrete decisions and conic risk constraints. Expanding upon earlier single-period models, our framework employs a binary scenario tree
Ümit Sağlam, Hande Y. Benson
core   +1 more source