基于改进黑洞算法的微电网优化调度
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仝年(1993-),男,硕士,主要从事微电网运行与控制研究;E-mail:903020445@qq.com

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TM734

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新疆维吾尔自治区科技支疆项目(2017E0277)


Optimal scheduling of microgrid based on improved black hole algorithm
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    摘要:

    为提高微电网运行的经济性,需要对其进行日前优化调度。首先建立微电网优化调度数学模型,以微电网内部蓄电池充放电功率和燃料电池输出功率为优化向量,以微电网运行成本最少为优化目标,基于日前预测数据, 先将一天分成24h,以1h作为1个调度时段进行优化;然后以15min为1个时段将一天分成96个调度时段,将小时级优化调度的结果作为15min级优化调度的初始值进行二次优化;最后采用差分进化改进黑洞算法分别求解模型。算例结果显示改进的黑洞算法收敛速度快,求得的优化结果能够作为未来一天中微电网内部蓄电池充放电功率和燃料电池输出功率的参考,减少微电网运行成本。

    Abstract:

    In order to improve the economical efficiency of micro-grid, it is necessary to conduct the day-ahead optimal scheduling. In this paper, a micro-grid optimal scheduling model is established for minimizing the operation cost of the micro-grid. The optimization variables of this model includes the battery charge/discharge power and fuel cells output power. Based on the day-ahead predicted data, one day is divided into 24 hours and the the scheduling period is set as 1 h. Then, taking 15 minutes as a period and the day is divided into 96 scheduling periods. The results of the one hour optimal scheduling are taken as the input of the 15 minutes optimal scheduling for re-optimization. The several heuristic algorithms are used to solve the models, respectively. The results show that the improved black hole algorithm converges faster than the others. The optimal results can be utilized as a reference for the battery charge/discharge power and the fuel cells output power for the next day. This method can effectively reduce the operating costs of micro-grid.

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仝年,李燕青,申宏威,等.基于改进黑洞算法的微电网优化调度[J].电力科学与技术学报,2021,36(5):113-119.
Tong Nian, Li Yanqing, Shen Hongwei, et al. Optimal scheduling of microgrid based on improved black hole algorithm[J]. Journal of Electric Power Science and Technology,2021,36(5):113-119.

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  • 在线发布日期: 2021-11-16
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