GP CC-OPF: Gaussian Process based optimization tool for Chance-Constrained Optimal Power Flow
نویسندگان
چکیده
منابع مشابه
A Generalized Framework for Chance-constrained Optimal Power Flow
Deregulated energy markets, demand forecasting, and the continuously increasing share of renewable energy sources call—among others—for a structured consideration of uncertainties in optimal power flow problems. The main challenge is to guarantee power balance while maintaining economic and secure operation. In the presence of Gaussian uncertainties affine feedback policies are known to be viab...
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High penetration of renewable energy sources and the increasing share of stochastic loads require the explicit representation of uncertainty in tools such as the optimal power flow (OPF). Current approaches follow either a linearized approach or an iterative approximation of non-linearities. This paper proposes a semidefinite relaxation of a chance constrained AC-OPF which is able to provide gu...
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Over the past years, the share of electricity production from wind power plants has increased to significant levels in several power systems across Europe and the United States. In order to cope with the fluctuating and partially unpredictable nature of renewable energy sources, transmission system operators (TSOs) have responded by increasing their reserve capacity requirements and by requirin...
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Optimal power flow is an optimizing tool for operation and planning of modern power systems. This paper presents the solution of the optimal power flow (OPF) using particle swarm optimization (PSO). The main goal of this paper is to verify the viability of using PSO problem composed by different objective functions. This OPF problem involves the optimization of various types of objective functi...
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ژورنال
عنوان ژورنال: Software impacts
سال: 2023
ISSN: ['2665-9638']
DOI: https://doi.org/10.1016/j.simpa.2023.100489