H2020Индивидуална стипендия2019–2021

GiFlex · GridEye flexibility service to distribution systems through distributed technologies

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2019-07-01 → 2021-06-30
Финансиране от ЕС: 191 149 €
Участници: 1
Схема: MSCA-IF-EF-SE

Линиите свързват координатора с партньорите.

Накратко на български

Електрическите мрежи с ниско напрежение се анализират, за да се управлява по-добре балансът между търсенето и предлагането на енергия от малки слънчеви или вятърни инсталации. Това помага за по-ефективно използване на ресурсите и намаляване на въглеродните емисии.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

GridEye flexibility service to distribution systems through distributed technologies

The intermittent renewable generations and electrification of heating, cooling and transport connected to the distribution grid pose increasing challenges to maintain the balance between supply and demand and grid security (voltage and line flows). Therefore, the DSO needs to have provision for flexibilities not only from large resources, but also small-scale resources (generations and demand) connected to the LV grid. Besides, the TSO requires more flexibility resources for ancillary and balancing services from the distribution grid. However, due to the lack of monitoring of LV grids, a large portion of flexibilities remains untapped. In view of this, the following problems are addressed – •The provision and activation of flexibilities from the LV grid is difficult due to lack of LV grid visibility •The non-optimal operation of the grid leads to inefficient utilisation of grid resources and assets •It is difficult to have an up-to-date and accurate LV grid topology information These problems pose serious challenges for the hosting capacity of renewables. They provide barriers to consumers participation by way of demand response programs and in particular, the transition to decentralisation and decarbonisation of the electricity grids. Therefore, innovative solutions for addressing the problems are important to achieve the reduction of carbon emissions and as a whole, for the society. The overall objectives of the project are – •Demonstrate the importance of LV grid monitoring for distribution grid operation •Provide a flexibility provision methodology for the secondary substations of the distribution grid •Develop a robust optimisation framework to take into account the worst-case uncertainties of the DER forecasts •Ensure an optimal operation for the MV and LV grids together •Develop a methodology to estimate fast and slow flexibilities separately at the interface with the TSO •All methodologies, based on model-based MV grids and sensitivity coefficients based model-less LV grids, do not require an accurate and up-to-date LV grid topology

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

The European Union’s priority of increasing the penetration of renewable generation in modern distribution networks has posed many challenges. The largest share consists of distributed and small-scale systems. The increased variability of supply from distributed renewable generations such as, wind and solar photovoltaics causes frequency and voltage stability issues in the system. Moreover, the power electronic interfaces reduces the system inertia which can lead to severe frequency deviations if a proper control mechanism is not implemented. However, an energy storage system and demand response with non-dispatchable generations will reduce the variability and thus, improve the system resilience by providing energy arbitrage, frequency and voltage regulation and fast reserves which are beneficial to distribution network management. Although the small-scale distributed sources are not capable to provide these flexibility services to the distribution and transmission network operators, the aggregator in the modern distribution network enables this process. Besides, they are able to provide slow services such as peak shaving, demand side management. GiFlex tackles this aspect by proposing an optimization framework in the smart grid scenario. The objectives are: 1) to assess and implement accurate estimation of flexibility services from GridEye measurements by employing machine learning algorithms, 2) to aggregate the flexibility services from distributed sources. The DEPsys product GridEye has a target of providing services in seconds. 3) GiFlex further will address the joint provision of fast response in seconds and slower response in minutes through a co-optimization framework. GiFlex is relevant to the Work Programme 2018-2020 and is expected to impact the European power sector by contributing to the effective and increased integration of renewable generation and to the realisation of a true smart grid with affordability, sustainability and security of energy.

Оригинален текст от CORDIS (на английски).

Участници

DEPSYS SA · PUIDOUXКоординаторШвейцария