Evolution of the Electricity Distribution Networks—Active Management Architecture Schemes and Microgrid Control Functionalities

Applied Sciences

Nikos Hatziargyriou¹  KatjaH. Sirviö²  Hannu Laaksonen²  Kimmo Kauhaniemi² 

[1] School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Athens, Greece;School of Technology and Innovations, University of Vaasa, 65100 Vaasa, Finland;

关键词: adaptive control;    demand-side management;    energy management;    load flow control;    load management;    microgrids;   

DOI  :  10.3390/app11062793

来源: DOAJ

【 摘 要 】

The power system transition to smart grids brings challenges to electricity distribution network development since it involves several stakeholders and actors whose needs must be met to be successful for the electricity network upgrade. The technological challenges arise mainly from the various distributed energy resources (DERs) integration and use and network optimization and security. End-customers play a central role in future network operations. Understanding the network’s evolution through possible network operational scenarios could create a dedicated and reliable roadmap for the various stakeholders’ use. This paper presents a method to develop the evolving operational scenarios and related management schemes, including microgrid control functionalities, and analyzes the evolution of electricity distribution networks considering medium and low voltage grids. The analysis consists of the dynamic descriptions of network operations and the static illustrations of the relationships among classified actors. The method and analysis use an object-oriented and standardized software modeling language, the unified modeling language (UML). Operational descriptions for the four evolution phases of electricity distribution networks are defined and analyzed by Enterprise Architect, a UML tool. This analysis is followed by the active management architecture schemes with the microgrid control functionalities. The graphical models and analysis generated can be used for scenario building in roadmap development, real-time simulations, and management system development. The developed method, presented with high-level use cases (HL-UCs), can be further used to develop and analyze several parallel running control algorithms for DERs providing ancillary services (ASs) in the evolving electricity distribution networks.

【 授权许可】

Unknown