Power systems optimization under uncertainty: A review of methods and applications
Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …
experiencing increasing levels of uncertainty due to factors such as renewable energy …
Chance-constrained optimization based pv hosting capacity calculation using general polynomial chaos
Increased penetration of renewable resources and new loads have increased the
uncertainty levels in low voltage distribution systems (LVDS). This requires considering …
uncertainty levels in low voltage distribution systems (LVDS). This requires considering …
Uncertainty quantification in low voltage distribution grids: Comparing Monte Carlo and general polynomial chaos approaches
Abstract Changes in load and distributed generation in low voltage distribution systems
(LVDS) have made the individual consumer offtake highly uncertain for the system operator …
(LVDS) have made the individual consumer offtake highly uncertain for the system operator …
Decoupled probabilistic feeder hosting capacity calculations using general polynomial chaos
This paper introduces a decoupled method of calculating the PV hosting capacity of low
voltage distribution system (LVDS) feeders for new solar photovoltaics (PV) installations …
voltage distribution system (LVDS) feeders for new solar photovoltaics (PV) installations …
Robust co-optimization of droop and affine policy parameters in active distribution systems with high penetration of photovoltaic generation
Legacy distribution systems need to adapt quickly to upcoming operating scenarios. The
expected growth of electromobility and distributed generation will bring forth many …
expected growth of electromobility and distributed generation will bring forth many …
General polynomial chaos in the current–voltage formulation of the optimal power flow problem
Mathematical optimization techniques play a key role in enabling the power system
transition to sustainable energy and are used for a variety of applications such as scenario …
transition to sustainable energy and are used for a variety of applications such as scenario …
Probabilistic Prequalification Scheme of a Distribution System Operator for Supporting Market Participation of Multiple Distributed Energy Resource Aggregators
This paper addresses the need for distribution system operators to effectively manage
uncertainties related to distributed energy resources. We propose a probabilistic approach …
uncertainties related to distributed energy resources. We propose a probabilistic approach …
Day-Ahead Optimal Dispatch for Active Distribution Network Considering Probability Model of Controllable Distributed Generation
J Wang, S Zhang, Y Sun, X Du, P Wu… - Frontiers in Energy …, 2022 - frontiersin.org
In this paper, the probabilistic model of the controllable distributed generation in active
distribution network is developed and applied to the daily stochastic optimal dispatch. The …
distribution network is developed and applied to the daily stochastic optimal dispatch. The …
Stochastic Optimal Power Flow For Hybrid ACDC Grids Using General Polynomial Chaos
With the rapid adoption of intermittent energy sources, HVDC transmission plays an
increasingly significant role in power systems. To optimize the utilization of AC/DC grids with …
increasingly significant role in power systems. To optimize the utilization of AC/DC grids with …
Data-Driven Formulation of Chance-Constrained Ac Optimal Power Flow Considering Optimization of Agc Participation Factors
The AGC participation factors' optimization changes the distribution of random variables and
consequently causes both modeling and calculation challenges in the existing chance …
consequently causes both modeling and calculation challenges in the existing chance …