The construction of wind power transmission line lagged behind the development of wind power generation, which leaded to the issue of wind curtailed and power rationing. In the wind power concentrated transmission process, using energy storage system(ESS) can relax transmission bottlenecks, and improve capability of wind power accommodation. An optimal method of using large scale ESS for relaxing wind power centralized transmission bottlenecks was presented in this paper. The comprehensive benefit was calculated by studying the relationship between wind power improved and optimization capacity configuration of ESS. Example shows that the proposed method can achieve more benefit of transmission line and more transmitted wind power than the traditional one without ESS in the same transmission line. ESS optimal power configuration is 46MW, and optimal capacity configuration is 421MWh. The decreased amount of wind curtailed is 983.6GWh with configuration ESS, saving 472100 tons of coal-fired power plans.
This paper designs a grouping energy management strategy to reduce the influence of wind power fluctuations on the power system. To improve operational technicality and economy of energy storage stations, this paper designs a grouping energy management strategy with SOC correction. According to physical constrains of battery energy storage systems, technical and economic evaluation index of energy storage stations are established. Reasonable limit bands to an energy storage station installed 5MW×2h can balance the output power of a wind farm installed 49.3MW achieved through example analysis. Then the energy management strategy designed is proved to be able to control the change range of the battery SOC and distribute control tasks efficaciously, improving operational technicality and economy of the station effectively. This research provides a theoretical reference to design of energy management strategies for energy storage stations installed small at wind farms.
An evaluating method for lifetime degradation degree of battery energy storage system (BESS) is proposed in this paper. Base on the method, relationships among capacity and degradation degree of lifetime of BESS, unmet reference power are analyzed. An evaluation index is then proposed considering operation cost of energy storage and penalty cost for failing to meet the reference power. Lastly, an optimal method for capacity configuration is developed and is verified in the study case.
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