Special Issue "Decentralized Management of Energy Streams in Smart Grids"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (30 April 2016).
Prof. Gerard J.M. Smit
Department of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, PO Box 217, 7500 AE, Enschede, The Netherlands
Website | E-Mail
Interests: demand side management, smart grids; energy-autonomous regions; distributed optimization algorithms; embedded systems; low-power systems; control of storage systems; local heat distribution systems
Many countries have a political target to become less dependent on fossil fuels. As a consequence, more and more energy is generated from fluctuating renewable energy sources (e.g., PV, wind, biogas, hydro, geothermic). The continuous growth of renewable generation, accompanied by their decentralized operation, is leading to massive grid investment needs if no appropriate actions are taken. With the current grid infrastructure, and an increasing percentage of renewable energy generation, there will be days that, during certain hours (e.g., around noon with low PV and wind production), not all renewable energy generated in certain parts of the power grid can be transported to other regions and, therefore, has to be curtailed. On the other hand, it is also expected that the need for electricity will grow in the future due to an increasing electrification of heating and transport. Large quantities of E-vehicles and heat pumps enlarge variability and lead to higher peak load concentrations, which may increase the need for costly grid capacity investments.
To avoid or reduce the need for grid investments, especially in distribution grids, it is essential to exploit the flexibility available in the grid, e.g., by controlling/optimizing the charging of E-vehicles, time-shiftable appliances (e.g., washing machines, air-conditioners, freezers, heat pumps). and storage assets. Such an optimization of energy streams is often called Demand Side Management (DSM) and has the goal to reach a certain objective for the consumption of electricity within a distribution grid. The objective may for example be market driven or technology driven (e.g., avoiding violation of grid restrictions).
In a longer term, with a much higher penetration of renewable generation, it will become even more important to optimize the power profiles of parts of the power grid, not only within a day, but also over days or weeks, since, otherwise, the resulting imbalances will ask for a large amount of central reserve capacity (predominantly based on fossil fuels and dimensioned for the largest peak and hence operating with a low efficiency). For this, different forms of (decentralized) energy storage assets for short-term, as well as long-term, storage are needed. These storage assets need to be controlled/optimized as well.
In this Special Issue of Energies, we ask for original contributions related to decentralized management of energy streams in Smart Grids.
Prof. Dr. G.J.M. (Gerard) Smit
Manuscript Submission Information
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- Decentralized energy management
- Demand Side Management
- Control of Storage in Smart Grids
- Optimization algorithms for Smart Grids
- Control algorithms for charging of E-vehicles
- Control of infeed of renewables
- Power quality in distribution grids
- Prediction algorithms of renewables