Search

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper addresses the throughput maximization problem in wireless mesh networks. For the case of cooperative access points, we present a negotiation-based throughput maximization algorithm which adjusts the operating channel and power level among access points automatically, from a game: theoretical perspective. We show that this algorithm converges to the optimal channel and power assignment which yields the maximum overall throughput with arbitrarily high probability. Moreover, we analyze the scenario where access points belong to different regulation entities and hence non-cooperative. The long-term behavior and corresponding performance are investigated and the analytical results are verified by simulations. [ABSTRACT FROM AUTHOR]

We analyze the welfare properties of the competitive equilibrium in a capital accumulation model where individual preferences are subject to both habit formation and consumption spillovers. Using an additive specification for preferences, according to which the argument in the utility function is a linear combination of present and past values of own consumption and consumption spillovers, we analyze the circumstances under which these spillovers are a source of inefficiency. It is shown that consumption externalities have to interact with habits in order to generate an inefficient dynamic equilibrium. Finally, we characterize optimal tax policies aimed at restoring efficient decentralized paths. [ABSTRACT FROM AUTHOR]

The state of charge (SOC) estimation and battery equalization method are essential in battery management system (BMS). In this paper, an improved H infinity filter algorithm based on the reverse recursion of historical data which could update the inner parameters of algorithm online is proposed. The battery life decay experiment result shows that open circuit voltage (OCV)–SOC relationship and the actual capacity of battery have a great impact on the SOC estimation accuracy based on H infinity, and the max SOC estimation error can exceed 15%. The improved H infinity algorithm proposed in this paper can keep the SOC error within 3% and its convergence to the true SOC is faster than the sliding mode observer algorithm. On this basis, a novel equalization strategy based on shunting is proposed. The equalization strategy model is simulated in SIMULINK, and as compared with the general cell bypass methods, the proposed method utilizes a redundant cell to achieve a high efficiency beyond 99%. The analysis results show that the 6Ah redundant cell could decrease the inconsistence of SOCs to 2%. • The SOC estimation based on H infinity filter algorithm is introduced for equalization strategy. • An improved H infinity filter algorithm based on reverse recursion of historical data is proposed. • The equilibrium efficiency higher than 99% is achieved using the proposed balancing method. • A 6Ah redundant cell could improve the in consistence of SOCs to 1.5%. [ABSTRACT FROM AUTHOR]