An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
Short-term load forecasting is crucial for power demand-side management and the planning
of the power system. Considering the necessity of interval-valued time series modeling and …
of the power system. Considering the necessity of interval-valued time series modeling and …
An interval gas flow analysis in natural gas and electricity coupled networks considering the uncertainty of wind power
Z Qiao, Q Guo, H Sun, Z Pan, Y Liu, W **ong - Applied energy, 2017 - Elsevier
The wide application of renewable energy sources in power systems has a significant
influence on both electrical and tightly coupled systems. The aim of this paper is to build a …
influence on both electrical and tightly coupled systems. The aim of this paper is to build a …
An efficient two stage stochastic optimal energy and reserve management in a microgrid
In this paper, an efficient two stage stochastic optimal energy and reserve management
approach is proposed for a microgrid. In the first stage, the optimal power schedule is …
approach is proposed for a microgrid. In the first stage, the optimal power schedule is …
Mid-term interval load forecasting using multi-output support vector regression with a memetic algorithm for feature selection
Accurate forecasting of mid-term electricity load is an important issue for power system
planning and operation. Instead of point load forecasting, this study aims to model and …
planning and operation. Instead of point load forecasting, this study aims to model and …
An affine arithmetic-based energy management system for isolated microgrids
This paper presents a mathematical formulation of an energy management system (EMS) for
isolated microgrids, which addresses uncertainty using the affine arithmetic (AA) method …
isolated microgrids, which addresses uncertainty using the affine arithmetic (AA) method …
A mixed interval power flow analysis under rectangular and polar coordinate system
C Zhang, H Chen, H Ngan, P Yang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A Rectangular Interval Power Flow (RIPF) method is proposed to improve solutions for
intervals of power flow problems due to nondeterministic characteristics of demand loads …
intervals of power flow problems due to nondeterministic characteristics of demand loads …
An affine arithmetic-based framework for uncertain power flow and optimal power flow studies
This paper proposes a unified framework based on affine arithmetic for computing reliable
enclosures of uncertain power flow (PF) and optimal power flow (OPF) solutions. The main …
enclosures of uncertain power flow (PF) and optimal power flow (OPF) solutions. The main …
A novel affine arithmetic method to solve optimal power flow problems with uncertainties
An affine arithmetic (AA) method is proposed in this paper to solve the optimal power flow
(OPF) problem with uncertain generation sources. In the AA-based OPF problem, all the …
(OPF) problem with uncertain generation sources. In the AA-based OPF problem, all the …
An interval power flow analysis through optimizing-scenarios method
C Zhang, H Chen, K Shi, M Qiu, D Hua… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Interval power flow (IPF) is a special kind of uncertain power flow problem whose demand
load and active power generation are regarded as interval uncertainties. A novel optimizing …
load and active power generation are regarded as interval uncertainties. A novel optimizing …
Physics-informed sparse Gaussian process for probabilistic stability analysis of large-scale power system with dynamic PVs and loads
This paper proposes a physics-informed sparse Gaussian process (SGP) for probabilistic
stability assessment of large-scale power systems in the presence of uncertain dynamic PVs …
stability assessment of large-scale power systems in the presence of uncertain dynamic PVs …