H2020Обмен на изследователи2015–2019

DREAM-GO · Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach

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

Период
2015-02-01 → 2019-01-31
Финансиране от ЕС
2 160 000 €
Участници
7
Схема
MSCA-RISE

Линиите свързват координатора с партньорите.

Накратко на български

Интелигентното управление на електроенергията изследва как потребителите могат да променят потреблението си в реално време, например чрез автоматично изключване на уреди. Това помага за по-ефективна работа на електрическите мрежи и по-добра връзка между пазара на енергия и реалното ѝ разпределение.

Този кратък обзор е генериран от изкуствен интелект

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

Резултати накратко

Enabling Demand Response for short and real-time Efficient And Market Based smart Grid Operation - An intelligent and real-time simulation approach

DREAM-GO had as main objective to conceive, develop, implement, and validate models enabling Demand Response (DR) for short and real-time efficient and market based smart grid operations. DREAM-GO activities and results have been planned so as to significantly advance the state of the art by developing: business models for short and real-time DR in smart grids; models and methods to simulate and assess the use of short and real-time DR in smart grids; and specifications for the communications, devices, and methods to enable Direct Load Control (DLC) of consumers’ loads. DREAM-GO identified new opportunities for short and real-time demand response and innovative contracts. The DR programs already implemented in practice as well as the newly designed DR programs have been organized, and computationally implemented serving as the basis for a Demand Response Registration Digital (D2RD) framework. DREAM-GO approach considers that power system operation and management and the electricity market operation are strongly connected. Missing an adequate modelling of their interrelationships is a strong limitation in the present state of the art. DREAM-GO succeeded in significantly contributing to overcome that limitation. A complex multiagent based simulation infrastructure has been developed in the scope of the Project. This infrastructure includes a community of multi-agent systems, putting together computationally simulated elements, emulated elements, and real-world elements (namely, real buildings, loads, photovoltaic panels, etc.) of smart grids. DREAM-GO outcomes include a large set of methods and technologic implementation, that enable the intelligent use of short and real-time DR programs in the context of real smart grids.

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

Цел на проекта

Smart Grid (SG) concepts are rapidly being transferred to the market and huge investments have been made in renewable based electricity generation and rolling out smart meters. However, the present state of the art does not ensure neither a good return of investment nor a sustainable and efficient power system. The work so far in the EU involves mainly larger stakeholders, namely power utilities and manufacturers more focused on production and grid resources. A closer attention to the demand side of the system is required, and especially in the interaction with the new methods for SG management.Efficient power systems require the optimal use of the available resources to cope with demand requirements and Demand Response (DR) programs with adequate business models can leverage demand flexibility both on centralized and distributed models, as renewable energygeneration is highly dependable of uncontrolled factors (as wind and solar radiation) for which anticipated forecasts are hardly trustful. DREAM-GO puts together research teams from the EU and US thus taking advantage of US experience in DR, teaming up academic partners with pioneer work in smart grid management and non-academic partners (SMEs) with the required know how and infrastructure to jointly produce relevant advancements in the state of the art. SME participation will ensure cross-fertilization of ideas and competences to build a knowledge network targeting the scientific community and other smart grid actors, as power resource managers, grid operators and resource aggregators, and ultimately targeting consumers (through consumers organisations and curtailment service providers) on the demand side. The main goal is to create a framework with the required methods and solutions to facilitate the adoption of the results in final applications, by providing grounded scientific knowledge to possible pathways for future implementation of a more efficient SG system in the EU.

Оригинален текст от CORDIS (на английски).

Участници

Връзки

Данни: CORDIS, © Европейски съюз