Browse by author
Lookup NU author(s): Tiong Teck Teo,
Dr Thillainathan Logenthiran,
Dr Wai Lok Woo,
Dr Khalid Abidi
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2016.
For re-use rights please refer to the publisher's terms and conditions.
Recent development in Renewable Energy Sources (RES) have led to a higher penetration in existing power systems. As the majority of RES are intermittent by nature, it presents major challenges to the grid operators. An Energy Storage System (ESS) can be connected to mitigate this intermittent sources. When multiple renewable energy sources, flexible loads and ESS are connected to the grid, complexity of the system is significantly increased. Such problems have multiple constraints and objective hence it is challenging to design an effective rulebased control strategy. A control strategy based on fuzzy logic which is similar to human reasoning tolerates uncertainties and imprecision. The proposed fuzzy inference system (FIS) aims to reduce the grid fluctuation and increase the energy storage lifecycle by deciding when and how much to charge/discharge the ESS. A real data was used to test and validate the proposed FIS.In this paper, MATLAB/Simulink is used to create and implement the microgrid test bench and FIS. The proposed methodology is tested against a rule-based control strategy. Simulation studies were carried out on the developed model and results have shown that the proposed FIS can effectively reduce the fluctuation and prolong the life cycle of the ESS.
Author(s): Teo TT, Logenthiran T, Woo WL, Abidi K
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)
Year of Conference: 2016
Online publication date: 26/12/2016
Acceptance date: 02/04/2016
Date deposited: 23/03/2017
Library holdings: Search Newcastle University Library for this item