Intelligent flexibility management for prosumers

Emission of greenhouse gases and their effects on climate change have become a matter of serious concern all over the world. In addition, electricity demand is expected to increase in the upcoming years. This growth comprises the construction of new power plants, resulting in additional costs on the price of electricity. Due to what is been exposed before, a new way to manage and generate electricity is needed. Recent researches have provided the tools for modernizing the traditional electricity grid into a smart one, which main objective is to coordinate an ever-growing number of intelligent de- vices, each with their own objectives and value perspectives, into a resilient, secure, and ef- ficient system. Here is were the flexibility concept plays an important role in the upcoming energy transition, understanding flexibility as the ability to change certain previously defined parameters in order to fit new requirements. This Master Thesis focuses on the prosumer flexi- bility concept, quantifying his flexibility potential. This flexibility is used to minimize the total expected costs of each prosumer individually, thus reducing their electricity bills. The method- ology developed consists in a Home Energy Management System (HEMS) that will manage automatically that flexibility in order to benefit the end user by minimizing its electrical bill, where the comfort is also taken into account. The results show that it is possible to reduce the electricity invoice by managing optimally the flexibility from loads, batteries, photovoltaic generation and electric vehicles charging points

Grafeno epitaxial en metales de transición: estudio mediante microscopía y espectroscopia de efecto túnel

Tesis doctoral inédita. Universidad Autónoma de Madrid, Facultad de Ciencias, Departamento de Física de la Materia Condensada . Fecha de lectura: 15-10-201

Centralized flexibility services for distribution system operators through distributed flexible resources

Under the context of smart grids within smart cities, increasing distributed generation, consumer empowerment and emerging flexibility services, distribution system operators could benefit by activating flexibility in distribution grids to avoid deploying new infrastructures and grid overloading. The solution offered by this work is an energy management system algorithm capable of activating flexibility behind the prosumer main meter during constrained periods. Therefore, the distribution system operator could compensate grid congestion during high consumption or production periods and increase their renewable generation hosting capacity by using behind-the-meter flexibility during peak production periods.Postprint (published version

Profitability analysis on demand-side flexibility: A review

Flexibility has emerged as an optimal solution to the increasing uncertainty in power systems produced by the continuous development and penetration of distributed generation based on renewable energy. Many studies have shown the benefits for system operators and stakeholders of diverse ancillary services derived from demand-side flexibility. Cost-benefit analysis on these flexibility services should be carried out to determine the profitable applications, as well as the required adjustments on energy market, price schemes and normative framework to maximize the positive impacts of the available flexibility. This paper endeavors to review the main topics, variables and indexes related to the profitability analysis on demand-side flexibility, as well as the influence of energy markets, pricing and standards on revenue maximization. The conclusions drawn from this review demonstrate that the profitability of flexibility services considerably de-pends on energy market structure, involved assets, electricity prices and current ancillary services remuneration.Peer ReviewedPostprint (published version

Centralised and distributed optimization for aggregated flexibility services provision

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksThe recent deployment of distributed battery units in prosumer premises offer new opportunities for providing aggregated flexibility services to both distribution system operators and balance responsible parties. The optimization problem presented in this paper is formulated with an objective of cost minimization which includes energy and battery degradation cost to provide flexibility services. A decomposed solution approach with the alternating direction method of multipliers (ADMM) is used instead of commonly adopted centralised optimization to reduce the computational burden and time, and then reduce scalability limitations. In this work we apply a modified version of ADMM that includes two new features with respect to the original algorithm: first, the primal variables are updated concurrently, which reduces significantly the computational cost when we have a large number of involved prosumers; second, it includes a regularization term named Proximal Jacobian (PJ) that ensures the stability of the solution. A case study is presented for optimal battery operation of 100 prosumer sites with real-life data. The proposed method finds a solution which is equivalent to the centralised optimization problem and is computed between 5 and 12 times faster. Thus, aggregators or large-scale energy communities can use this scalable algorithm to provide flexibility services.Peer ReviewedPostprint (published version

Intelligent flexibility management for prosumers

Emission of greenhouse gases and their effects on climate change have become a matter of serious concern all over the world. In addition, electricity demand is expected to increase in the upcoming years. This growth comprises the construction of new power plants, resulting in additional costs on the price of electricity. Due to what is been exposed before, a new way to manage and generate electricity is needed. Recent researches have provided the tools for modernizing the traditional electricity grid into a smart one, which main objective is to coordinate an ever-growing number of intelligent de- vices, each with their own objectives and value perspectives, into a resilient, secure, and ef- ficient system. Here is were the flexibility concept plays an important role in the upcoming energy transition, understanding flexibility as the ability to change certain previously defined parameters in order to fit new requirements. This Master Thesis focuses on the prosumer flexi- bility concept, quantifying his flexibility potential. This flexibility is used to minimize the total expected costs of each prosumer individually, thus reducing their electricity bills. The method- ology developed consists in a Home Energy Management System (HEMS) that will manage automatically that flexibility in order to benefit the end user by minimizing its electrical bill, where the comfort is also taken into account. The results show that it is possible to reduce the electricity invoice by managing optimally the flexibility from loads, batteries, photovoltaic generation and electric vehicles charging points

Intelligent flexibility management for prosumers

Emission of greenhouse gases and their effects on climate change have become a matter of serious concern all over the world. In addition, electricity demand is expected to increase in the upcoming years. This growth comprises the construction of new power plants, resulting in additional costs on the price of electricity. Due to what is been exposed before, a new way to manage and generate electricity is needed. Recent researches have provided the tools for modernizing the traditional electricity grid into a smart one, which main objective is to coordinate an ever-growing number of intelligent de- vices, each with their own objectives and value perspectives, into a resilient, secure, and ef- ficient system. Here is were the flexibility concept plays an important role in the upcoming energy transition, understanding flexibility as the ability to change certain previously defined parameters in order to fit new requirements. This Master Thesis focuses on the prosumer flexi- bility concept, quantifying his flexibility potential. This flexibility is used to minimize the total expected costs of each prosumer individually, thus reducing their electricity bills. The method- ology developed consists in a Home Energy Management System (HEMS) that will manage automatically that flexibility in order to benefit the end user by minimizing its electrical bill, where the comfort is also taken into account. The results show that it is possible to reduce the electricity invoice by managing optimally the flexibility from loads, batteries, photovoltaic generation and electric vehicles charging points

A novel home energy management system environmental-based with LCA minimization

This paper presents a novel environmental-based home energy management system that focuses on the environmental impact caused by residential electricity consumption. It is aimed to reduce the carbon footprint by minimizing the kg of carbon dioxide equivalent, considering all the stages of the life cycle of the generation sources utilized, from cradle-to-grave. The global warming potential indicator is chosen to decide if it is more sustainable to purchase electricity from the grid or to use flexible generation sources at homes, such as batteries or photovoltaic generation. The environmental-base energy management system endeavors to give the end-user a more influential role in the climate change solution, giving up the reduction of the electricity bill in exchange for causing a low environmental impact by minimizing its greenhouse gas (GHG) emissions. The results prove that in periods of significant penetration of renewable sources in the energy mix, it is more sustainable to buy electricity from the grid than discharging batteries or using the photovoltaic surplus energy to charge them. The proposed environmental-based energy management system reduces the GHG emissions by 38% compared with the price-based program, which prioritizes the minimization of energy costs.Peer ReviewedPostprint (published version

INVADE Flexibility centralized algorithm to manage electric vehicles under DSO requests in buildings with limited information

This paper exposes a flexibility management algorithm to optimize the operation of behind-the-meter charging infrastructure in a building including external flexibility requests from the local distribution system operator. It includes the electricity cost minimization including drivers comfort cost and it uses the limited information available in conventional slow charging points like electricity consumption and charging point statusPeer ReviewedPostprint (published version

A novel hybrid home energy management system considering electricity cost and greenhouse gas emissions minimization

This paper proposes a multi-objective hybrid energy management system that minimizes both the electricity expenses and the household greenhouse gas emissions released due to consumption, considering the entire life cycle of the generation assets used to provide energy. The global warming potential indicator is used to decide if it is more sustainable to purchase electricity from the grid or use the household’s flexible generation sources like photovoltaic panels and the energy storage system. Results prove that it is possible to reduce greenhouse gas emissions without incurring expensive electricity bill costs thanks to the hybrid-based home energy management system approach. This method gives the end-users a more influential role in the climate change solution, allowing them to give more or less importance to the economic or environmental component, according to their preferences.Peer ReviewedPostprint (author's final draft