Results 21 to 30 of about 7,879 (171)
Energies, 2021 Distributed generators providing auxiliary service are an important means of guaranteeing the safe and economic operation of a distribution system.
Jian Zhang, Mingjian Cui, Yigang He
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Optimal allocation of static var compensator via mixed integer conic programming [PDF]
2017 IEEE Power & Energy Society General Meeting, 2017 Shunt FACTS devices, such as, a Static Var Compensator (SVC), are capable of providing local reactive power compensation. They are widely used in the network to reduce the real power loss and improve the voltage profile. This paper proposes a planning model based on mixed integer conic programming (MICP) to optimally allocate SVCs in the transmission ...
Zhang, Xiaohu +6 more
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Optimal flexibility coordination for energy procurement in distribution networks
IET Renewable Power Generation, 2021 The main goal of distribution network operator is to establish a balance between supply and demand at the lowest cost while considering the technical constraints. Nowadays, distribution network operators exploit various types of flexibilities to minimise
Ehsan Hooshmand +3 more
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Mixed-Integer Conic Formulation of Unit Commitment with Stochastic Wind Power
Mathematics, 2023 Due to the high randomness and volatility of renewable energy sources such as wind energy, the traditional thermal unit commitment (UC) model is no longer applicable.
Haiyan Zheng, Liying Huang, Ran Quan
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Extended Formulations in Mixed-Integer Convex Programming [PDF]
, 2019 We present a unifying framework for generating extended formulations for the polyhedral outer approximations used in algorithms for mixed-integer convex programming (MICP).
Bent, Russell +3 more
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A Unified Early Termination Technique for Primal-Dual Algorithms in Mixed Integer Conic Programming
IEEE Control Systems Letters, 2023 We propose an early termination technique for mixed integer conic programming for use within branch-and-bound based solvers. Our approach generalizes previous early termination results for ADMM-based solvers to a broader class of primal-dual algorithms, including both operator splitting methods and interior point methods.
Chen, Y, Ning, C, Goulart, P
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Robust Variable Selection with Optimality Guarantees for High-Dimensional Logistic Regression
Stats, 2021 High-dimensional classification studies have become widespread across various domains. The large dimensionality, coupled with the possible presence of data contamination, motivates the use of robust, sparse estimation methods to improve model ...
Luca Insolia +3 more
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A Conic Integer Programming Approach to Stochastic Joint Location-Inventory Problems [PDF]
Operations Research, 2012 We study several joint facility location and inventory management problems with stochastic retailer demand. In particular, we consider cases with uncapacitated facilities, capacitated facilities, correlated retailer demand, stochastic lead times, and multicommodities.
Alper Atamtürk +2 more
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Real-time microgrid economic dispatch based on model predictive control strategy
Journal of Modern Power Systems and Clean Energy, 2017 To deal with uncertainties of renewable energy, demand and price signals in real-time microgrid operation, this paper proposes a model predictive control strategy for microgrid economic dispatch, where hourly schedule is constantly optimized according to
Yan Du +4 more
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IEEE Access, 2023 This paper considers constraints on the cycle number of energy storage systems (ESSs), travel distances of switchable capacitors reactors (SCRs), on load tap changers (OLTCs) and step voltage regulators (SVRs).
Jian Zhang, Yigang He
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