Uncertainty parameters of battery energy storage integrated grid and their modeling approaches: A review and future research directions
The continuously growing population and urban growth rates are responsible for the sharp
rise in energy consumption, which leads to increased CO 2 emissions and demand-supply …
rise in energy consumption, which leads to increased CO 2 emissions and demand-supply …
A survey on impact assessment of DG and FACTS controllers in power systems
B Singh, V Mukherjee, P Tiwari - Renewable and Sustainable Energy …, 2015 - Elsevier
This paper presents a comprehensive survey on application of various conventional,
optimization and artificial intelligence (AI) based computational techniques for impact …
optimization and artificial intelligence (AI) based computational techniques for impact …
Distributionally robust optimal dispatch in the power system with high penetration of wind power based on net load fluctuation data
H Yang, R Liang, Y Yuan, B Chen, S Xiang, J Liu… - Applied Energy, 2022 - Elsevier
The power system with high penetration of wind power faces a great challenge for system
dispatch due to the high volatility and intermittency of the wind power. This work proposes a …
dispatch due to the high volatility and intermittency of the wind power. This work proposes a …
Multi-attribute partitioning of power networks based on electrical distance
E Cotilla-Sanchez, PDH Hines… - … on Power Systems, 2013 - ieeexplore.ieee.org
Identifying coherent sub-graphs in networks is important in many applications. In power
systems, large systems are divided into areas and zones to aid in planning and control …
systems, large systems are divided into areas and zones to aid in planning and control …
Correlated wind-power production and electric load scenarios for investment decisions
Stochastic programming constitutes a useful tool to address investment problems. This
technique represents uncertain input data using a set of scenarios, which should accurately …
technique represents uncertain input data using a set of scenarios, which should accurately …
Modeling conditional forecast error for wind power in generation scheduling
The integration of wind power requires additional operating reserves to cope with the
uncertainty in power system operation. Previous research shows that the uncertainty of the …
uncertainty in power system operation. Previous research shows that the uncertainty of the …
A data-driven approach for estimating the power generation of invisible solar sites
H Shaker, H Zareipour, D Wood - IEEE Transactions on Smart …, 2015 - ieeexplore.ieee.org
Roof-top solar photovoltaic systems are normally invisible to system operators, meaning that
their generated power is not monitored. If a significant number of systems are installed …
their generated power is not monitored. If a significant number of systems are installed …
Clustering-based coordinated control of large-scale wind farm for power system frequency support
This paper proposes a frequency support control scheme for large-scale wind farm (WF) by
considering distributed layout of wind turbines (WT) and wake effects inside the WF. The …
considering distributed layout of wind turbines (WT) and wake effects inside the WF. The …
A conditional model of wind power forecast errors and its application in scenario generation
In power system operation, characterizing the stochastic nature of wind power is an
important albeit challenging issue. It is well known that distributions of wind power forecast …
important albeit challenging issue. It is well known that distributions of wind power forecast …
Evaluation of wind farm aggregation using probabilistic clustering algorithms for power system stability assessment
Wind farm integration in large-scale power systems for performing stability assessment
requires significant modelling efforts and high computational time. In these cases, wind farm …
requires significant modelling efforts and high computational time. In these cases, wind farm …