Hybrid renewable energy systems (HRES), which co-locate two or more renewable energy sources, have proven to be promising frameworks for harnessing complemen...

Thermostatically-controlled loads have a significant impact on electricity demand after service is restored following an outage, a phenomenon known as cold l...

With the ongoing energy transition, electric power and energy systems are becoming increasingly multi-dimensional and complex with higher levels of uncertain...

The increasingly complex energy systems are turning the attention towards model-free control approaches such as reinforcement learning (RL). This work propos...

In this paper, we apply flexibility-based operational planning method to microgrid (MG) unit commitment (UC). The problem is formulated based on model predi...

In this paper, we apply a flexibility based operational planning paradigm to microgrid (MG) energy dispatch. The classic energy dispatch problem with energ...

Deep learning has redefined modern standards and performance in several areas such as computer vision and natural language processing. With increasing amou...

The deepening penetration of renewable power generation is challenging how the minute balancing of supply and demand is carried out by power system operators...

We are witnessing an acceleration in the uptake of renewable energy in power systems. Because of the associated variability and uncertainty of renewables, ...

This paper proposes a hierarchical decision making model for a coupled planning and operation problem of an advanced microgrid. The proposed model, is formul...

This paper proposes a bilevel formulation for a coupled planning and operation problem of an advanced microgrid. The proposed model, recast as a mathematical...

With the emphasis on renewable energy integration, stochastic methods have begun to emerge as one of the most viable alternatives to traditional deterministi...

This short note outlines how energy storage systems are becoming a core component of modern low carbon electric power systems. Challenges and opportunities a...

Currently, power system operations planning practices are undergoing various transformations in an attempt to integrate efficiently significant amounts of su...

The first part of this two-part paper developed the framework for characterizing the feasibility regions of power systems in the demand space. This character...

This two-part paper presents a framework for the characterization and minimal representation of the feasibility regions of power systems in the demand space....

This paper provides an overview of the role, past, present and future, of demand-side management and demand-side response in electric grids. We address the f...

Traditionally, the planning of operating reserve has been done in terms of capacity and linear (average) ramping requirements. On the other hand, the newly e...

An analytical approach and a control strategy are proposed in Part I of this two-part paper for leveraging the aggregate demand of a population of Thermostat...

There are few systematic methodologies capable of predicting and leveraging the reserve capacity potential of large populations of Thermostatically-Controlle...

Modern power systems are undergoing a transitional phase, increasingly incorporating variable generation (VG) to harness the economic and environmental benef...

Remote communities are typically isolated from the main electricity grid and require local generation, most often relying on expensive resources (especially ...

Security-constrained optimal power flow (SCOPF) and security-constrained unit commitment (SCUC) problems are necessary tools for system operators for operati...

There are few systematic methodologies capable of predicting and managing the potential of large populations of appliances working as aggregated reserve reso...