Innovative energy management system for MVDC networks with black-start capabilities

Alassi, Abdulrahman and Ahmed, Khaled and Egea-Àlvarez, Agustí and Ellabban, Omar (2021) Innovative energy management system for MVDC networks with black-start capabilities. Energies, 14 (8). 2100. ISSN 1996-1073

[thumbnail of Alassi-etal-Energies-2021-Innovative-energy-management-system-for-MVDC-networks]
Preview
Text (Alassi-etal-Energies-2021-Innovative-energy-management-system-for-MVDC-networks)
Alassi_etal_Energies_2021_Innovative_energy_management_system_for_MVDC_networks.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (8MB)| Preview

    Abstract

    Medium voltage DC (MVDC) networks are attracting more attention amid increased renewables penetration. The reliability of these DC systems is critical, especially following grid contingencies to maintain critical loads supply and provide ancillary services, such as black-start. This paper proposes an innovative energy management system (EMS) to maintain reliable MVDC network operation under prolonged AC grid contingencies. Similar EMS designs in literature tend to focus on limited operating modes and fall short of covering comprehensive elongated blackout considerations. The proposed EMS in this paper aims to preserve the distribution network functionality of the impacted MVDC system through maintaining a constant DC bus voltage, maximizing critical load supply duration, and maintaining the MVDC system black-start readiness. These objectives are achieved through controlling generation units between Maximum Power Point Tracking (MPPT) and Voltage Regulation (VR) modes, and implementing a smart load shedding and restoration algorithm based on network parameters feedback, such as storage State of Change (SoC) and available resources. Practical design considerations for MVDC network participation in AC network black start, and the following grid synchronization steps are presented and tested as part of the EMS. The proposed system is validated through simulations and scaled lab setup experimental scenarios.

    ORCID iDs

    Alassi, Abdulrahman, Ahmed, Khaled, Egea-Àlvarez, Agustí ORCID logoORCID: https://orcid.org/0000-0003-1286-6699 and Ellabban, Omar;