Dynamic Power Management for Portable Hybrid Power-Supply Systems Utilizing Approximate Dynamic Programming
| Autor: | Jungdong Lim, Dongsu Yang, Gyo-Bum Chung, Jooyoung Park |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Power management
Engineering Control and Optimization Energy Engineering and Power Technology lcsh:Technology Field (computer science) jel:Q40 jel:Q jel:Q43 jel:Q42 jel:Q41 jel:Q48 jel:Q47 Electrical and Electronic Engineering dynamic power management Engineering (miscellaneous) jel:Q49 hybrid power-supply systems Stochastic control lcsh:T Renewable Energy Sustainability and the Environment business.industry Control engineering Workload jel:Q0 jel:Q4 Power (physics) Dynamic programming approximate dynamic programming Convex optimization Hybrid power business Energy (miscellaneous) |
| Zdroj: | Energies Volume 8 Issue 6 Pages 5053-5073 Energies, Vol 8, Iss 6, Pp 5053-5073 (2015) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en8065053 |
| Popis: | Recently, the optimization of power flows in portable hybrid power-supply systems (HPSSs) has become an important issue with the advent of a variety of mobile systems and hybrid energy technologies. In this paper, a control strategy is considered for dynamically managing power flows in portable HPSSs employing batteries and supercapacitors. Our dynamic power management strategy utilizes the concept of approximate dynamic programming (ADP). ADP methods are important tools in the fields of stochastic control and machine learning, and the utilization of these tools for practical engineering problems is now an active and promising research field. We propose an ADP-based procedure based on optimization under constraints including the iterated Bellman inequalities, which can be solved by convex optimization carried out offline, to find the optimal power management rules for portable HPSSs. The effectiveness of the proposed procedure is tested through dynamic simulations for smartphone workload scenarios, and simulation results show that the proposed strategy can successfully cope with uncertain workload demands. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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