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Optimal siting and sizing of soft open points in active electrical distribution networks
Soft open points (SOPs) are power electronic devices installed to replace normally open
points in active electrical distribution systems. SOPs can provide active/reactive power flow …
points in active electrical distribution systems. SOPs can provide active/reactive power flow …
Flexibility improvement and stochastic multi-scenario hybrid optimization for an integrated energy system with high-proportion renewable energy
R Yan, J Wang, S Huo, Y Qin, J Zhang, S Tang… - Energy, 2023 - Elsevier
A strong heat-power coupling limitation, uncontrollable renewable energy, and the grid's
limited adjustment capacity deteriorate the operational performance and increase the …
limited adjustment capacity deteriorate the operational performance and increase the …
[SÁCH][B] Lectures on stochastic programming: modeling and theory
This is a substantial revision of the previous edition with added new material. The
presentation of Chapter 6 is updated. In particular the Interchangeability Principle for risk …
presentation of Chapter 6 is updated. In particular the Interchangeability Principle for risk …
[SÁCH][B] Multistage stochastic optimization
The topic of this book is multistage stochastic optimization. Multistage reflects the fact that an
optimal decision is an entire strategy or policy, which is executed during subsequent instants …
optimal decision is an entire strategy or policy, which is executed during subsequent instants …
Scenario reduction and scenario tree construction for power management problems
N Growe-Kuska, H Heitsch… - 2003 IEEE Bologna …, 2003 - ieeexplore.ieee.org
Portfolio and risk management problems of power utilities may be modeled by multistage
stochastic programs. These models use a set of scenarios and corresponding probabilities …
stochastic programs. These models use a set of scenarios and corresponding probabilities …
[SÁCH][B] Evaluation of scenario-generation methods for stochastic programming
In this paper, we discuss the evaluation of quality/suitability of scenario-generation methods
for a given stochastic programming model. We formulate minimal requirements that should …
for a given stochastic programming model. We formulate minimal requirements that should …
[SÁCH][B] Modeling, measuring and managing risk
This book is the first in the market to treat single-and multi-period risk measures (risk
functionals) in a thorough, comprehensive manner. It combines the treatment of properties of …
functionals) in a thorough, comprehensive manner. It combines the treatment of properties of …
Scenario tree modeling for multistage stochastic programs
H Heitsch, W Römisch - Mathematical Programming, 2009 - Springer
An important issue for solving multistage stochastic programs consists in the approximate
representation of the (multivariate) stochastic input process in the form of a scenario tree. In …
representation of the (multivariate) stochastic input process in the form of a scenario tree. In …
Scenario reduction for futures market trading in electricity markets
To make informed decisions in futures markets of electric energy, stochastic programming
models are commonly used. Such models treat stochastic processes via a set of scenarios …
models are commonly used. Such models treat stochastic processes via a set of scenarios …
[HTML][HTML] Algorithmic approaches to inventory management optimization
An inventory management problem is addressed for a make-to-order supply chain that has
inventory holding and/or manufacturing locations at each node. The lead times between …
inventory holding and/or manufacturing locations at each node. The lead times between …