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IK4 Doctorados

 

IKERLAN

Research aimed at the development of people  and transfer of the most advanced technologies for companies.

 
DOCTORATES

IKERLAN

Dimensioning, Placement and Optimal Management of Electrical Storage Systems for Electricity Grids

IKERLAN

START: 10/2016

COVERED

OBTAINING DOCTOR DEGREE: 10/2019

    Description

    During the last few years, the rate of renewable power generation (mostly wind and solar power generation) has experienced significant growth. Although it is clean energy, with a low risk of contamination, being safe and inexhaustible, renewable sources have a significant drawback, which must be taken into consideration from the point of view of stability and reliability of the electricity grid: their great variability in production. The stochastic nature of the wind and cloud cover drastically affects the production of renewable energy, whereby causing an unbalance along the electricity grid, in both directions, generating overloads or underloads.

    The intermittency of production from renewable sources is added to the already high variability of consumption, therefore, compounding problems for the management and operation of the electrical network. As the levels of integration of renewable sources increases, so will the need for new systems capable of maintaining the stability of the networks. Until now, these problems have been resolved through the oversizing of the network transmission and distribution (T&D), the construction of new power plants, development of more efficient energy management systems and the use of traditional energy storage systems, such as pumped-storage hydroelectricity. However, the problems caused by the rapid increase in the variability of daily consumption and the massive introduction of renewable energies are requiring other types of solutions. Under this scenario, costs reductions and technological improvements developed for battery-based storage systems have demonstrated that these systems can be a complementary solution for an enhanced utilisation of a network, in terms of efficiency and reliability.

    However, for now, the high cost of batteries requires a detailed assessment for both the sizing and placement along the networks of these systems, in order to maximise profitability. The object of this dissertation is the development of tools for the identification of the optimal location and sizing of electrical storage systems along electricity networks (transmission, distribution), in order to achieve the maximum performance of a combined operation with large renewable plants and their involvement in the electricity markets. Research will also include the development of advanced operating strategies for the management of hybrid storage systems.

    The main tasks to be performed during this dissertation are the: a) Analysis of the potential services and markets for the intervention in storage, the objectives and restrictions, b) Assessment and selection of storage system technology or technologies that are better adapted to cover the foregoing services and markets, c) Design and development of strategies for centralised and local energy management for all of the storage systems, d) Economic and technical analysis for determining the optimum size and location of the storage systems in transmission and distribution networks. During the development of the dissertation, there will be the formation of an interdisciplinary team, which will have the support of staff experienced in the development of industrial projects and research at a national and international level.

    Department or unit of the Associates Technology Center

    Electrical Energy and Thermal Management

    Investigation line

    Electric and Electronic Power Systems

    Start date planned

    10/2016

    Obtaining date of the doctor degree

    10/2019

    Requeriments

    Degree in: Automation and Industrial Electronics Engineering, Industrial Electronics and Industrial Automation Engineering, Master in Energy and Power Electronics, Master in Advanced Electronic Systems or equivalent. Prior knowledge of simulation, design, integration and validation are an advantage, as well as for tools such as Matlab/Simulink, etc. Furthermore, relationship skills and the ability to work as a team, as well as proactivity, responsibility and commitment are also considered as being essential.
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