Optimum Policies for an Energy Harvesting Transmitter Under Energy Storage Losses

被引:84
作者
Tutuncuoglu, Kaya [1 ]
Yener, Aylin [1 ]
Ulukus, Sennur [2 ]
机构
[1] Penn State Univ, Dept Elect Engn, University Pk, PA 16802 USA
[2] Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
基金
美国国家科学基金会;
关键词
Energy harvesting communications; optimal packet scheduling; nodes with rechargeable batteries; inefficient energy storage; POWER ALLOCATION; DATA-TRANSMISSION; CHANNEL; SYSTEMS; MODEL; NODES;
D O I
10.1109/JSAC.2015.2391511
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We consider an energy harvesting network where the transmitter harvests energy from nature, and the harvested energy can be saved in an imperfect battery which suffers from charging/discharging inefficiency. In particular, when E units of energy is to be stored in the battery, only eta E units is saved and (1-eta) E is lost due to charging/discharging inefficiency, where 0 <= eta <= 1 represents the storing efficiency. We determine the optimum offline transmit power schedule for such a system for single-user and broadcast channel models, for static and fading channels, with and without a finite battery size. We show that the optimum policy is a double-threshold policy: specifically, we store energy in the battery only when the harvested energy is above an upper threshold, and retrieve energy from the battery only when the harvested energy is below a lower threshold; when the harvested energy is in between these two thresholds, we use it in its entirety in the current slot. We show that the two thresholds remain constant unless the battery is depleted or full. We provide an algorithm to determine the sequence of optimum thresholds. For the case with fading, we develop a directional water-filling algorithm which has a double-threshold structure. Finally, we formulate the online problem using dynamic programming, and numerically observe that the online policy exhibits a double-threshold structure as well.
引用
收藏
页码:467 / 481
页数:15
相关论文
共 50 条
[21]   Optimal Energy Allocation for Energy Harvesting Transmitters With Hybrid Energy Storage and Processing Cost [J].
Ozel, Omur ;
Shahzad, Khurram ;
Ulukus, Sennur .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2014, 62 (12) :3232-3245
[22]   Energy Harvesting From Harbor Cranes With Flywheel Energy Storage Systems [J].
Ahamad, Nor Baizura Binti ;
Su, Chun-Lien ;
Xiao Zhaoxia ;
Vasquez, Juan C. ;
Guerrero, Josep M. ;
Liao, Chi-Hsiang .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2019, 55 (04) :3354-3364
[23]   Delay Constrained Energy Harvesting Networks with Limited Energy and Data Storage [J].
Varan, Burak ;
Yener, Aylin .
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2016, 34 (05) :1550-1564
[24]   Revenue targeting for a prosumer with storage under gross and net energy metering policies [J].
Hesaroor, Kashinath ;
Das, Debapriya .
JOURNAL OF ENERGY STORAGE, 2022, 50
[25]   Delay Minimal Policies in Energy Harvesting Communication Systems [J].
Arafa, Ahmed ;
Tong, Tian ;
Fu, Minghan ;
Ulukus, Sennur ;
Chen, Wei .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2018, 66 (07) :2918-2930
[26]   Power allocation and transmitter switching for broadcasting with multiple energy harvesting transmitters [J].
Hongbin Chen ;
Feng Zhao ;
Rong Yu ;
Xiaohuan Li .
EURASIP Journal on Wireless Communications and Networking, 2014
[27]   Optimization of smart energy systems based on response time and energy storage losses [J].
Andiappan, Viknesh .
ENERGY, 2022, 258
[28]   Optimum building energy retrofits under technical and economic uncertainty [J].
Rysanek, A. M. ;
Choudhary, R. .
ENERGY AND BUILDINGS, 2013, 57 :324-337
[29]   Data Driven Optimization of Energy Management in Residential Buildings with Energy Harvesting and Storage [J].
Ahmed, Nadia ;
Levorato, Marco ;
Valentini, Roberto ;
Li, Guann-Pyng .
ENERGIES, 2020, 13 (09)
[30]   Power Allocation Algorithm for an Energy-Harvesting Wireless Transmission System Considering Energy Losses [J].
Zhao, Su ;
Huang, Gang ;
Zhu, Qi .
ALGORITHMS, 2019, 12 (01)