Results 41 to 50 of about 9,774 (207)
, 2017 This paper presents novel methods to approximate the nonlinear AC optimal power flow (OPF) into tractable linear/quadratic programming (LP/QP) based OPF problems that can be used for power system planning and operation.
Demiray, Turhan, Fortenbacher, Philipp
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Optimal Power Flow Based on Branch Flow Model for Bipolar DC Distribution Networks
CSEE Journal of Power and Energy SystemsOptimal Power Flow (OPF) plays a crucial role in optimization and operation of the bipolar DC distribution network (Bi-DCDN). However, existing OPF models encounter difficulties in the power optimization of Bi-DCDNs due to the optimal power expressed as ...
Yiyao Zhou +7 more
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IEEE Access, 2022 Herein, we propose a novel method for identifying power congestion and renewable energy source (RES) power curtailment in power grids by using deep neural network (DNN)-based optimal power flow (OPF) analysis. Synthetic data for load demand and RES power
Rehman Zafar, Ba Hau Vu, Il-Yop Chung
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The Solution for Optimal Power Flow (OPF) Method Using Differential Evolution Algorithm
IJITEE (International Journal of Information Technology and Electrical Engineering), 2017 Optimal Power Flow (OPF) is one of techniques used to optimize the cost of power plant production while maintaining the limit of system reliability. In this paper, the application of differential evolution (DE) method is used to solve the OPF problem with variable control such as the power plant output, bus voltage tension, transformer tap, and ...
Hazel Ariantara +2 more
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A Data-Driven Optimal Power Flow Model under Partial Observability
Zhongguo dianli, 2023 The linearized power flow (PF) model is mainly used to make the optimal power flow (OPF) problem convex. However, existing data-driven linear PF models are mostly based on complete system measurement data.
Penghua LI, Zhuoran SONG, Wenchuan WU
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Robust dispatch with power flow routing and renewables [PDF]
, 2015 The uncertainty and variability of renewable energy sources are challenging problems in the operation of power systems. In this paper, we focus on the robust dispatch of generators to overcome the uncertainty of renewable power predictions.
Leung, KC, Li, VOK, Lin, J
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Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu +4 more
wiley +1 more source
Energy Conversion and Economics, EarlyView.Abstract The rapid growth of distributed energy resources (DERs) is reshaping the operational landscape of transmission and distribution networks, creating new challenges for maintaining system‐wide security, economic efficiency and flexibility. Transmission‐distribution (T‐D) coordination has emerged as an essential paradigm for facilitating multi ...
Yining Yang +4 more
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Synchronization-Aware and Algorithm-Efficient Chance Constrained Optimal Power Flow
, 2013 One of the most common control decisions faced by power system operators is the question of how to dispatch generation to meet demand for power. This is a complex optimization problem that includes many nonlinear, non convex constraints as well as ...
Bent, Russell +2 more
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Optimal Power Flow in Direct Current Networks [PDF]
, 2013 The optimal power flow (OPF) problem determines power generations/demands that minimize a certain objective such as generation cost or power loss. It is non-convex and NP-hard in general.
Gan, Lingwen, Low, Steven H.
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