Journal article
Advanced control strategy for an energy storage system in a grid-connected microgrid with renewable energy generation
IET Smart Grid, Vol.1(3), pp.96-103
2018
Abstract
The operating cost of the consumer can be reduced in an electricity market-based environment by shifting consumption to a lower price period. This study presents the design of an advanced control strategy to be embedded in a grid-connected microgrid with renewable and energy storage capability. The objectives of the control strategy are to control the charging and discharging rates of the energy storage system to reduce the end-user operating cost through arbitrage operation of the energy storage system and to reduce the power exchange between the main and microgrid. Instead of using a forecasting-based approach, the proposed methodology takes the difference between the available renewable generation and load, state-of-charge of energy storage system and electricity market price to determine the charging and discharging rates of the energy storage system in a rolling horizon. The proposed control strategy is compared with a self-adaptive energy storage system controller and mixed-integer linear programming with the same objectives. Empirical evidence shows that the proposed controller can achieve a lower operating cost and reduce the power exchange between the main and microgrid.
Details
- Title
- Advanced control strategy for an energy storage system in a grid-connected microgrid with renewable energy generation
- Authors/Creators
- T.T. Teo (Author/Creator) - School of Electrical and Electronic EngineeringNewcastle UniversityNE1 7RUNewcastle Upon TyneUKT. Logenthiran (Author/Creator) - School of Electrical and Electronic EngineeringNewcastle UniversityNE1 7RUNewcastle Upon TyneUKW.L. Woo (Author/Creator) - School of Electrical and Electronic EngineeringNewcastle UniversityNE1 7RUNewcastle Upon TyneUKK. Abidi (Author/Creator) - School of Electrical and Electronic EngineeringNewcastle UniversityNE1 7RUNewcastle Upon TyneUK
- Publication Details
- IET Smart Grid, Vol.1(3), pp.96-103
- Publisher
- IEEE
- Identifiers
- 991005543642607891
- Copyright
- © 2018 IEEE
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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