This thesis addresses the problem of sizing and optimal location of non-domestic energy storage, batteries, in distribution networks that integrate distributed photovoltaic generation, with the objective of analysing its exploration potential in the energy business. For this purpose, a formulation based on line programming and the EPSO metaheuristic (Evolutionary Particle Swarm Operation) has been proposed for the minimization of the costs of including a storage system in the energy grid.Given the size and location of the battery, a formulation based on linear programming will allow to determine the optimal operation of the battery for the following cases: in the first study, the operation of the battery in the base of one day. In the secon...
The deployment of energy storage systems (ESSs) is a significant avenue for maximising the energy ef...
This paper proposes a procedure for estimating the optimal sizing of Photovoltaic Generators and Ene...
This paper proposes a framework to select the best-suited battery for co-optimizing for peak demand ...
This thesis addresses the problem of sizing and optimal location of non-domestic energy storage, bat...
International audienceThe high variability and uncertainty introduced into modern electrical distrib...
Voltage drop and rise at network peak and off-peak periods are one of the major power quality proble...
In this study, the capacity and location of battery energy storage systems (BESSs) in a distribution...
This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in resi...
This paper presents a methodology to provide information to a decision maker on the associated impac...
In recent years, power systems are facing with various challenges arising from the increased share o...
This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in resi...
Abstract-Electrical energy storage services can bring benefit to multiple stakeholders in the distri...
The global climate change mitigation efforts have increased the efforts of national governments to i...
As utilities become more interested in using renewable energy to power the grid, the problem becomes...
We designed a battery energy storage system (BESS) based on the symmetrical concept where the requir...
The deployment of energy storage systems (ESSs) is a significant avenue for maximising the energy ef...
This paper proposes a procedure for estimating the optimal sizing of Photovoltaic Generators and Ene...
This paper proposes a framework to select the best-suited battery for co-optimizing for peak demand ...
This thesis addresses the problem of sizing and optimal location of non-domestic energy storage, bat...
International audienceThe high variability and uncertainty introduced into modern electrical distrib...
Voltage drop and rise at network peak and off-peak periods are one of the major power quality proble...
In this study, the capacity and location of battery energy storage systems (BESSs) in a distribution...
This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in resi...
This paper presents a methodology to provide information to a decision maker on the associated impac...
In recent years, power systems are facing with various challenges arising from the increased share o...
This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in resi...
Abstract-Electrical energy storage services can bring benefit to multiple stakeholders in the distri...
The global climate change mitigation efforts have increased the efforts of national governments to i...
As utilities become more interested in using renewable energy to power the grid, the problem becomes...
We designed a battery energy storage system (BESS) based on the symmetrical concept where the requir...
The deployment of energy storage systems (ESSs) is a significant avenue for maximising the energy ef...
This paper proposes a procedure for estimating the optimal sizing of Photovoltaic Generators and Ene...
This paper proposes a framework to select the best-suited battery for co-optimizing for peak demand ...