http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Renzhi Zhang (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Xiong, Pan,Zhang, Xiuyun,Zhang, Fan,Yi, Ding,Zhang, Jinqiang,Sun, Bing,Tian, Huajun,Shanmukaraj, Devaraj,Rojo, Teofilo,Armand, Michel,Ma, Renzhi,Sasaki, Takayoshi,Wang, Guoxiu American Chemical Society 2018 ACS NANO Vol.12 No.12
<P>Cation-deficient two-dimensional (2D) materials, especially atomically thin nanosheets, are highly promising electrode materials for electrochemical energy storage that undergo metal ion insertion reactions, yet they have rarely been achieved thus far. Here, we report a Ti-deficient 2D unilamellar lepidocrocite-type titanium oxide (Ti<SUB>0.87</SUB>O<SUB>2</SUB>) nanosheet superlattice for sodium storage. The superlattice composed of alternately restacked defective Ti<SUB>0.87</SUB>O<SUB>2</SUB> and nitrogen-doped graphene monolayers exhibits an outstanding capacity of ∼490 mA h g<SUP>-1</SUP> at 0.1 A g<SUP>-1</SUP>, an ultralong cycle life of more than 10000 cycles with ∼0.00058% capacity decay per cycle, and especially superior low-temperature performance (100 mA h g<SUP>-1</SUP> at 12.8 A g<SUP>-1</SUP> and −5 °C), presenting the best reported performance to date. A reversible Na<SUP>+</SUP> ion intercalation mechanism without phase and structural change is verified by first-principles calculations and kinetics analysis. These results herald a promising strategy to utilize defective 2D materials for advanced energy storage applications.</P> [FIG OMISSION]</BR>
-
A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach
Lu, Renzhi,Hong, Seung Ho,Zhang, Xiongfeng Elsevier 2018 APPLIED ENERGY Vol.220 No.-
<P><B>Abstract</B></P> <P>With the modern advanced information and communication technologies in smart grid systems, demand response (DR) has become an effective method for improving grid reliability and reducing energy costs due to the ability to react quickly to supply-demand mismatches by adjusting flexible loads on the demand side. This paper proposes a dynamic pricing DR algorithm for energy management in a hierarchical electricity market that considers both service provider’s (SP) profit and customers’ (CUs) costs. Reinforcement learning (RL) is used to illustrate the hierarchical decision-making framework, in which the dynamic pricing problem is formulated as a discrete finite Markov decision process (MDP), and Q-learning is adopted to solve this decision-making problem. Using RL, the SP can adaptively decide the retail electricity price during the on-line learning process where the uncertainty of CUs’ load demand profiles and the flexibility of wholesale electricity prices are addressed. Simulation results show that this proposed DR algorithm, can promote SP profitability, reduce energy costs for CUs, balance energy supply and demand in the electricity market, and improve the reliability of electric power systems, which can be regarded as a win-win strategy for both SP and CUs.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Propose an artificial intelligence based dynamic pricing demand response algorithm. </LI> <LI> Reinforcement learning is used to illustrate the decision-making framework. </LI> <LI> Uncertainty of customer’s demand and flexibility of wholesale prices are achieved. </LI> <LI> Effects of customers’ private preferences in the electricity market are addressed. </LI> </UL> </P>
-
Xiao-Na Song,Renzhi Zhang,Mi Wang,Junwei Lu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.3
This paper focuses on the synchronization of reaction-diffusion complex dynamical networks with coupling delay. In order to reflect the uncertainties of the controller, the nonfragile problem is considered. Furthermore, we also take into account the dissipativity analysis problem, which contains the H∞ performance and passivity performance in a unified framework. By utilizing the Lyapunov functional method, two sufficient delay-dependent conditions, which ensure the considered system is globally asymptotically synchronized onto the unforced node and strictly dissipative, are established in terms of linear matrix inequality. Finally, three numerical examples are employed to demonstrate the effectiveness of the design methods.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
