Future power systems are expected to integrate large-scale stochastic and intermittent generation and load due to reduced use of fossil fuel resources, including renewable energy sources (RES) and electric vehicles (EV). Inclusion of such resources poses challenges for the dynamic stability of synchronous transmission and distribution networks, not least in terms of generation where system inertia may not be wholly governed by large-scale generation but displaced by small-scale and localised generation. Energy storage systems (ESS) can limit the impact of dispersed and distributed generation by offering supporting reserve while accommodating large-scale EV connection; the latter (load) also participating in storage provision. In this paper, a local energy storage system (LESS) is proposed. The structure, requirement and optimal sizing of the LESS are discussed. Three operating modes are detailed, including: 1) storage pack management; 2) normal operation; and 3) contingency operation. The proposed LESS scheme is evaluated using simulation studies based on data obtained from the Northern Ireland regional and residential network.
Bibliographical noteFuture power systems will integrate large-scale dispersed generation and higher loads due to reduced fossil fuel consumption. Electric vehicles (EVs) present significant load from charging demand. This poses challenges to system inertia and stability by limiting centralised control. Energy storage systems (ESS) limit impacts by offering reserves while supporting EV connections. This paper proposes innovative integration of localised ESSs for distribution networks to directly meet local demand in any perceived situation. Sponsored by EPSRC UK-China joint-research consortium (EP/F061242/1) and Science Bridge (EP/G042594/1), the work has strengthened collaboration with China (NCEPU) and will contribute to subsequent EPSRC UK-China Innovative Bridge funding.
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- School of Electronics, Electrical Engineering and Computer Science - Senior Lecturer
- Energy Power and Intelligent Control