activity
20162020
most citedOptimal Carbon Taxes for Emissions Targets in the Electricity Sector

88 citations · 143 across the 6 of their papers we have counts for

collaborators

10 papers

eess.SY2020

Forecasting the Price-Response of a Pool of Buildings via Homothetic Inverse Optimization

Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda

This paper focuses on the day-ahead forecasting of the aggregate power of a pool of smart buildings equipped with thermostatically-controlled loads. We first propose the modeling o…

math.OC2020

An Efficient Robust Approach to the Day-ahead Operation of an Aggregator of Electric Vehicles

Álvaro Porras, Ricardo Fernández-Blanco, Juan M. Morales +1

The growing use of electric vehicles (EVs) may hinder their integration into the electricity system as well as their efficient operation due to the intrinsic stochasticity associat…

eess.SY2019

Day-ahead Operation of an Aggregator of Electric Vehicles via Optimization under Uncertainty

Álvaro Porras, Ricardo Fernández-Blanco, Juan Miguel Morales +1

We pose the aggregator's problem as a bilevel model, where the upper level minimizes the total operation costs of the fleet of EVs, while each lower level minimizes the energy avai…

eess.SY2019

How Can Smart Buildings Be Price-Responsive?

Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda

The prospective participation of smart buildings in the electricity system is strongly related to the increasing active role of demand-side resources in the electrical grid. In add…

eess.SY2019

Inverse Optimization with Kernel Regression: Application to the Power Forecasting and Bidding of a Fleet of Electric Vehicles

Ricardo Fernández-Blanco, Juan Miguel Morales, Salvador Pineda +1

This paper considers an aggregator of Electric Vehicles (EVs) who aims to learn the aggregate power of his/her fleet while also participating in the electricity market. The propose…

math.OC2019★ 50 cited

Sharing Energy Storage Between Transmission and Distribution

Ryan Elliott, Ricardo Fernandez-Blanco, Kelly Kozdras +4

This paper addresses the problem of how best to coordinate, or `stack,' energy storage services in systems that lack centralized markets. Specifically, its focus is on how to coord…

math.OC2018

Time-Adaptive Unit Commitment

Salvador Pineda, Ricardo Fernandez-Blanco, Juan Miguel Morales

The short-term operation of a power system is usually planned by solving a day-ahead unit commitment problem. Due to historical reasons, the commitment of the power generating unit…

math.OC2018★ 88 cited

Optimal Carbon Taxes for Emissions Targets in the Electricity Sector

Daniel J. Olsen, Yury Dvorkin, Ricardo Fernández-Blanco +1

The most dangerous effects of anthropogenic climate change can be mitigated by using emissions taxes or other regulatory interventions to reduce greenhouse gas (GHG) emissions. Thi…

math.OC2017★ 1 cited

Impact of Local Transmission Congestion on Energy Storage Arbitrage Opportunities

Yishen Wang, Yury Dvorkin, Ricardo Fernández-Blanco +2

Reduced installation and operating costs give energy storage systems an opportunity to participate actively and profitably in electricity markets. In addition to providing ancillar…

math.OC2016★ 4 cited

Scalable Planning for Energy Storage in Energy and Reserve Markets

Bolun Xu, Yishen Wang, Yury Dvorkin +4

Energy storage can facilitate the integration of renewable energy resources by providing arbitrage and ancillary services. Jointly optimizing energy and ancillary services in a cen…