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Optimal scheduling of energy storage system in wind power integrated system based on bi-level programming

机译:基于双层规划的风电集成系统储能系统优化调度

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Wind power is uncertain and fluctuating. To address its impact on system, a jointed scheduling model of wind power/thermal generation/ energy storage system (ESS) is established in this paper, based on bi-level programming (BLP). Operations of different types of power sources are optimized in the upper-level, while unit commitment of thermal generation is optimized in the lower-level. These two layers work together to yield the best results. Chance constrained programming is applied to address uncertainties of wind power. And a method to utilize the ESS as part of system reserves is introduced to reduce the total reserves required from thermal generation. A control strategy is also applied to maintain state of charge (SOC) reasonable, avoiding SOC reaching the critical area too often because of the rising utilization of ESS. Finally, results of case studies indicate that BLP is effective in optimizing ESS operation in wind power integrated system.
机译:风能是不确定的并且会波动。为了解决其对系统的影响,本文基于双层规划(BLP)建立了风电/热力发电/储能系统(ESS)联合调度模型。在上层优化了各种类型的电源的运行,而在下层优化了火力发电的机组承诺。这两个层一起工作可产生最佳结果。应用机会约束编程来解决风力发电的不确定性。并介绍了一种利用ESS作为系统储备一部分的方法,以减少热力发电所需的总储备。还应用了一种控制策略来维持合理的充电状态(SOC),避免由于ESS利用率的提高而导致SOC过于频繁地到达临界区域。最后,案例研究结果表明,BLP在优化风电集成系统中的ESS运行方面是有效的。

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