Project Details

Description

As the share of renewable energy sources increases, electricity prices and thus consumption will become more weather-dependent. This may result in significant congestion during cold spells when Combined Heat and Power (CHP) units and heat pumps run near maximum capacity, but also during sunny, windy times when electricity is cheap. Current markets and regulations assume the network to be like a copper plate, obliging network operators to facilitate any market transaction at any cost.

We propose a novel approach to congestion management, with significant lower social costs than current solutions. This approach relies on the development of algorithms that can efficiently schedule flexible loads of multiple customers within the capacity constraints of the local energy networks, exploiting stochastic information on generation and consumption. Additionally, we design rules for a game that customers can play to stimulate the communication of their planned usage and flexibility in shifting loads, in such a way that they cannot gain anything by manipulating this information. For this purpose we develop new planning approaches, combining plans for different horizons and temporal resolutions, and exploiting hierarchy, all under such incentive constraints.

In addition to flexible loads, we include decentralised CHP production in our analysis, extending recent work on multiple energy-carrier optimisation from individual customers to the local distribution grid. These methods are evaluated in simulations based on the distribution network and data from a real case. The results are obtained by a strong inter-disciplinary team of researchers in power engineering, computer science, economy, policy, and management.
AcronymGCP
StatusFinished
Effective start/end date1/10/1431/10/18

Research Output

Trading power instead of energy in day-ahead electricity markets

Philipsen, R., Morales-España, G., de Weerdt, M. & De Vries, L., 2019, In : Applied Energy. 233-234, p. 802-815 14 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
  • 7 Citations (Scopus)
    128 Downloads (Pure)

    Robust unit commitment with dispatchable wind power

    Morales-España, G., Lorca, Á. & de Weerdt, M. M., Feb 2018, In : Electric Power Systems Research. 155, p. 58-66 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 21 Citations (Scopus)
    42 Downloads (Pure)

    Accelerated Vector Pruning for Optimal POMDP Solvers

    Walraven, E. & Spaan, M., 2017, Proceedings of the 31st Conference on Artificial Intelligence, AAAI 2017. American Association for Artificial Intelligence (AAAI), p. 3672-3678 7 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • 9 Citations (Scopus)

    Prizes

    Erasmus Energy Science Award

    Philipsen, R.M. (Recipient), de Weerdt, M.M. (Recipient), G. Morales-Espana (Recipient) & de Vries, L.J. (Recipient), 2016

    Prize: Prize (including medals and awards)