Optimal Control of Water Systems Under Forecast Uncertainty: Robust, Proactive, and Integrated

Water systems consist of natural and man-made objects serving multiple essential purposes. They are affected by many types of meteorological disturbances. In order to deal with these disturbances and to serve the desired objectives, infrastructures have been built and managed by societies for specific purposes. Given a water system, and its...

On the Dynamics and Statics of Power System Operation: Optimal Utilization of FACTS Devices and Management of Wind Power Uncertainty

Nowadays, power systems are dealing with some new challenges raised by the major changes that have been taken place since 80’s, e.g., deregulation in electricity markets, significant increase of electricity demands and more recently large-scale integration of renewable energy resources such as wind power. Therefore, system operators must make...

Strategies, Methods and Tools for Solving Long-term Transmission Expansion Planning in Large-scale Power Systems

Hidden Power System Inflexibilities imposed by traditional unit commitment formulations

Approximations made in traditional day-ahead unit commitment model formulations can result in suboptimal or even infeasible schedules for slow-start units and inaccurate predictions of actual costs and wind curtailment. With increasing wind penetration, these errors will become economically more significant. Here, we consider inaccuracies from...

Value of information in closed-loop reservoir management

Over the past decades, many technological advances have unlocked new opportunities to boost efficiency in the oil and gas industry (e.g., complex well drilling, injection of advanced chemicals, sophisticated instrumentation). The real engineering challenge is to apply these technologies in the best possible way for each particular case. This...

Dynamic and Robust Timetable Rescheduling for Uncertain Railway Disruptions

Unexpected disruptions occur frequently in railway systems, during which many train services cannot run as scheduled. This paper deals with timetable rescheduling during such disruptions, particularly in the case where all tracks between two stations are blocked for a few hours. In practice, the disruption length is uncertain, and a disruption...

Dynamic and robust timetable rescheduling for uncertain railway disruptions

Unexpected disruptions occur frequently in the railways, during which many train services cannot run as scheduled. This paper deals with timetable rescheduling during such disruptions, particularly in the case where all tracks between two stations are blocked for hours. In practice, a disruption may become shorter or longer than predicted. To...

Intra-day scheduling of a local energy community coordinated with day-ahead multistage decisions

The paper presents a coordinated day-ahead and intra-day approach for the scheduling of the resources in a local energy community (LEC). The considered LEC consists of a collective of power prosumers that can directly trade energy with each other in addition to the external provider. The scheduling approach is based on the alternating...

Closed-loop simulation testing of a probabilistic DR framework for Day Ahead Market participation applied to Battery Energy Storage Systems

In this manuscript, we test the operational performance decrease of a probabilistic framework for Demand Response (DR). We use Day Ahead Market (DAM) price scenarios generated by a Combined Quantile Regression Deep Neural Network (CQR-DNN) and a Non-parametric Bayesian Network (NPBN) to maximise profit of a Battery Energy Storage System (BESS)...

Mobility operator service capacity sharing contract design to risk-pool against network disruptions

We propose a new mechanism to design risk-pooling contracts between operators to improve service resilience during disruptions. We formulate a novel two-stage stochastic multicommodity flow model to determine the cost savings of a coalition under different disruption scenarios and solve it using L-shaped method along with sample average...