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Mixed-integer second-order cone unit models for combined active-reactive power optimization

2016 IEEE International Energy Conference (ENERGYCON), 2016
The integration of flexible distributed energy resources in distribution grids, for instance EVs and battery storage, is often analyzed through optimal power flow approaches (OPF). A large variety of OPF-compatible unit models is observed. Furthermore, reactive power control models are often absent or limited in scope.
Frederik Geth   +3 more
openaire   +2 more sources

Global optimization of trusses with constraints on number of different cross-sections: a mixed-integer second-order cone programming approach

Computational Optimization and Applications, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Y. Kanno
semanticscholar   +4 more sources

Mixed-integer second-order cone programming for global optimization of compliance of frame structure with discrete design variables

Structural and Multidisciplinary Optimization, 2016
Frame structures are extensively used in mechanical, civil, and aerospace engineering. Besides generating reasonable designs of frame structures themselves, frame topology optimization may serve as a tool providing us with conceptual designs of diverse engineering structures.
Y. Kanno
openaire   +2 more sources

Coordinated EV charging and reactive power optimization for radial distribution network using mixed integer second-order cone programming

2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), 2017
The increasing penetration of electric vehicles (EVs) will bring great challenges to the secure and economic operation of distribution networks. On the other hand, coordinated charging of EVs can alleviate the adverse impacts of charging loads and even increase the efficiency of distribution network operation.
Pengcheng Li   +5 more
openaire   +2 more sources

Mixed-integer second-order cone programming for truss topology optimization with self-weight load and limitation on number of nodes

2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2017
Taking into account the self-weight load is crucial for designing large-scale truss structures. However, the self weight of a truss has been often ignored in Structural optimization, because of the difficulty stemming from its dependency on the truss design which itself is to be optimized.
Y. Kanno
openaire   +2 more sources

Smoothing and Regularization for Mixed-Integer Second-Order Cone Programming with Applications in Portfolio Optimization

2013
Second-order cone programming problems (SOCPs) have been well studied in literature, and computationally efficient implementations of solution algorithms exist. In this paper, we study an extension: mixed-integer second-order cone programming problems (MISOCPs).
Hande Y. Benson, Ümit Sağlam
openaire   +2 more sources

Optimal scheduling of hydrogen energy storage integrated energy system based on Mixed Integer Second-order Cone

2020 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2020
The basic structure of the hydrogen storage integrated energy system (HSIES) was built, and mathematical models of thermal power units, reversible solid oxide fuel cells, large-scale wind power and hydrogen energy storage devices were established. The model considers wind energy uncertainty, stochastic security-constrained unit commitment (SSCUC), and ...
Lixin Wan, Wei Zhang, ZhiPeng Xu
openaire   +1 more source

Service Restoration Model With Mixed-Integer Second-Order Cone Programming for Distribution Network With Distributed Generations

IEEE Transactions on Smart Grid, 2019
Fast and reliable service restoration strategy is necessary to restore as many out-of-service loads as possible in a short time. In this paper, a mixed-integer second-order cone programming formulation is proposed for service restoration of a ...
Yong Li   +4 more
semanticscholar   +1 more source

Reach-Avoid Games Via Mixed-Integer Second-Order Cone Programming

IEEE Conference on Decision and Control, 2018
Reach-avoid games are excellent proxies for studying many problems in robotics and related fields, with applications including multi-robot systems, human-robot interactions, and safety-critical systems. However, solving reach-avoid games is difficult due
Joseph Lorenzetti   +3 more
semanticscholar   +1 more source

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