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Optimization of renewable energy microgrids under uncertainty and future grid integration

 

 

 

 

Funding entity: Agencia Estatal de Investigación 
Ref: RTI2018-097962-B-I00

Start date 01/01/2019
End date: 31/12/2021

 

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Team

 

Ferrer-Martí, Laia

Scientific coordinator and contact

 

Pastor, Rafael

Senior professor

 

Santos, Maria Antonia

Tenured professor

 

 

 

 

García-Villoria, Alberto

Scientific coordinator and contact

 

Domenech, Bruno

Lecturer

 

 

Project description

Microgrids and renewable energy have proven beneficial in increasing access to electricity, to reduce transmission losses and increase security of supply, among others. In Spain, self-consumption and distributed generation with smart micro-grids (smart grid) is significantly increasing and, as a result, costs are reduced for consumers, renewable generation increases and CO2 emissions are reduced, and it is a new business model and a source of job creation.

The optimization of the detailed design of these microgrids is a very complex combinatorial problem given the huge amount of alternatives for locating equipment, distribution structures considering microgrids isolated or connected (initially or in the future) to the main grid with purchase-sale of energy, considering uncertainty in the generation and demand data, and the multicriteria nature inherent to the system. In this context, the general objective of this proposal, OMER-IFIR, is to optimize the design and management of micro-grids with renewable energy as well as technical, economic, social, environmental and management constraints and criteria.

  • SO1. To go in depth into the study of electrification cases and experiences, and in the analysis of specialized scientific literature as a starting point of SO2.
  • SO2. To define and formalize aspects of the problem not previously considered.
  • SO3. To develop exact resolution procedures based on optimized models of mixed integer linear programming (MILP). To validate with real cases.
  • SO4. To design and develop heuristic resolution procedures for the instances that, due to their dimensions, cannot be accurately solved in an acceptable time through MILP models. To validate with real cases.
  • SO5. To design a multicriteria methodology that allows choosing the best electrification solution and management system, taking into account technical, economic, social, environmental and management criteria.
  • SO6. To disseminate and apply the results to the design of real projects.

In short, the aim is to have multicriteria models and tools for the design of microgrid electrification systems with renewable energy, that consider the constraints and characteristics of the promoters and future users, thus guaranteeing the efficiency and time sustainability of the obtained solutions.

 

Amount: 31.218,00 €