Optimal Control of Lossy Energy Storage Systems with Nonlinear Efficiency Based on Dynamic Programming and Pontryagin's Minimum Principle

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Nilanjan Roy Chowdhury ◽  
Ron Ofir ◽  
Noa Zargari ◽  
Dmitry Baimel ◽  
Juri Belikov ◽  
...  
Keyword(s):  
Optimal Control ◽  
Dynamic Programming ◽  
Energy Storage ◽  
Storage Systems ◽  
Minimum Principle ◽  
Pontryagin’S Minimum Principle ◽  
Energy Storage Systems ◽  
Pontryagin's Minimum Principle

scholarly journals Continuous Near-Optimal Control of Energy Storage Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 12471-12478
Author(s):  
Julian de Hoog ◽  
Ramachandra Rao Kolluri ◽  
Peter Ilfrich
Keyword(s):  
Optimal Control ◽  
Energy Storage ◽  
Storage Systems ◽  
Energy Storage Systems

scholarly journals Electricity Cost Optimization in Energy Storage Systems by Combining a Genetic Algorithm with Dynamic Programming

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1526 ◽  
Author(s):  
Seung-Ju Lee ◽  
Yourim Yoon
Keyword(s):  
Genetic Algorithm ◽  
Dynamic Programming ◽  
Energy Storage ◽  
Storage Systems ◽  
Cost Optimization ◽  
Energy Storage Systems ◽  
Electricity Cost ◽  
Efficient Charge ◽  
Time Of Use Pricing ◽  
Charge Discharge

Recently, energy storage systems (ESSs) are becoming more important as renewable and microgrid technologies advance. ESSs can act as a buffer between generation and load and enable commercial and industrial end users to reduce their electricity expenses by controlling the charge/discharge amount. In this paper, to derive efficient charge/discharge schedules of ESSs based on time-of-use pricing with renewable energy, a combination of genetic algorithm and dynamic programming is proposed. The performance of the combined method is improved by adjusting the size of the base units of dynamic programming. We show the effectiveness of the proposed method by simulating experiments with load and generation profiles of various commercial electricity consumers.

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