A Comparative Study of Optimal Energy Management Strategies for Energy Storage with Stochastic Loads

Feras Alasali, Stephen Haben, Husam Foudeh and William Holderbaum
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Feras Alasali: Department of Electrical Engineering, Hashemite University, Zarqa 13113, Jordan
Stephen Haben: Mathematical Institute, University of Oxford, Andrew Wiles Building, Oxford OX2 6GG, UK
Husam Foudeh: Department of Electrical Engineering, Mutah University, Karak 61710, Jordan
William Holderbaum: Mechanical Engineering and Design, Aston Institute of Materials Research, Aston University, Birmingham B4 7ET, UK

Energies, 2020, vol. 13, issue 10, 1-19

Abstract: This paper aims to present the significance of predicting stochastic loads to improve the performance of a low voltage (LV) network with an energy storage system (ESS) by employing several optimal energy controllers. Considering the highly stochastic behaviour that rubber tyre gantry (RTG) cranes demand, this study develops and compares optimal energy controllers based on a model predictive controller (MPC) with a rolling point forecast model and a stochastic model predictive controller (SMPC) based on a stochastic prediction demand model as potentially suitable approaches to minimise the impact of the demand uncertainty. The proposed MPC and SMPC control models are compared to an optimal energy controller with perfect and fixed load forecast profiles and a standard set-point controller. The results show that the optimal controllers, which utilise a load forecast, improve peak reduction and cost savings of the storage device compared to the traditional control algorithm. Further improvements are presented for the receding horizon controllers, MPC and SMPC, which better handle the volatility of the crane demand. Furthermore, a computational cost analysis for optimal controllers is presented to evaluate the complexity for a practical implementation of the predictive optimal control systems.

Keywords: energy storage system; stochastic loads; load forecasting; model predictive controller (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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