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Battery Management Based on Predictive Control and Demand-Side Management: Smart Integration of Renewable Energy Sources
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Author(s): Deepranjan Dongol (University of Applied Sciences Offenburg, Germany), Elmar Bollin (University of Applied Sciences Offenburg, Germany)and Thomas Feldmann (University of Applied Sciences Offenburg, Germany)
Copyright: 2016
Pages: 32
Source title:
Smart Grid as a Solution for Renewable and Efficient Energy
Source Author(s)/Editor(s): Ayaz Ahmad (COMSATS Institute of Information Technology, Pakistan)and Naveed Ul Hassan (LUMS School of Science & Engineering, Pakistan)
DOI: 10.4018/978-1-5225-0072-8.ch007
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Abstract
The chapter is intended to introduce the predictive control based energy management strategy for the grid connected renewable systems in order to achieve an effective demand side management strategy. Grid connected Photovoltaic battery system as being popular and extensively used has been discussed in this chapter .Conventionally, battery storage has been used to store surplus energy produced and meet the load demand with this stored energy. However, such systems do not respond to the grid conditions and violate grid constraints of permissible grid voltage and frequency limits. The operation of the battery depends on the forecast of photovoltaic output and the load demand and as such a predictive control based energy management strategy is needed. A simple optimization problem for such scenarios has also been formulated in great detail to provide readers with an idea for solving such problems. The results of simulations are also discussed.
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