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摘要
The energy management problem of the battery is always a technical challenge, especially when incomplete charging-discharging alternation happens continuously under the complex state, as the application participating in a real-time schedule of wind farm power. This paper focuses on the energy management of the battery which participates in wind power optimal forecast. First, innovative energy management strategy is designed to avoid non-linear model construction of the battery. In terms of the energy-exchange equivalent prediction method, the energy management scheme can make full use of peripheral parameters tested from charge-discharge interface circuit. Then, the charge-discharge power is obtained from the active demand of wind power forecast error correction, the converter efficiency, and the self-discharge factor. In addition, a diagnosis method of health status based on judgment of coefficient mutation and a life cycle algorithm based on integral statistics of the whole process are studied, respectively. Second, to facilitate the subsequent prediction, the capacity change of the actual storage system is revised in a manner where the static and dynamic parameters consist of actual current-time integration during the charge or discharge process and equivalent parameter correction of the relation between power energy throughput and charge capacity change. The transmission efficiency correction of converter and self-discharge efficiency, the dynamic determination of the battery health state, and life cycle statistics are also considered. Finally, a practical application case is introduced to validate the above strategies. The results verify that both the dynamic forecast of the state of charge and the feasible management of energy storage are achieved. Published by AIP Publishing.
