兼顾企业综合成本与用户用电体验的微电网双层优化配置
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TM715

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四川省科技支撑计划重点研发项目(2017GZ0343)


Bilevel programming method for optimal sizing of gridconnected DC microgrid system based on economic efficiency of enterprises and customer electricity experience
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    摘要:

    并网型直流微电网对于改善电网末端薄弱环节的供电可靠性和电能质量有着重要作用。传统的优化配置方法多关注企业的经济效益,很少考虑用户的用电体验。在市场环境下,并网型微电网的建立与推广必须重视用电用户的利益。以典型的“风—光—柴—储”并网型直流微电网为研究对象,提出一种兼顾供电企业经济效益和用户用电体验的微电网双层优化配置模型。模型考虑微电网全寿命周期内的初装成本、运行维护成本、燃料成本、置换成本以及与配电网的能量交互费用等,建立以企业综合经济成本最小为目标的上层模型和以用户缺电损失期望最小为目标的下层模型,引入供电可靠性关联上下层模型,使用KKT条件实现双层模型到单层模型的解耦,并用遗传—蚁群混合算法对模型进行求解,算例仿真结果验证了模型和算法的有效性和合理性。

    Abstract:

    The gridconnected DC microgrid plays an important role in improving the power supply reliability and power quality in the end of power grid. The traditional optimal method pays more attention to economic of enterprise and little considerations to the utility of the customers. Under the market environment,the development of gridconnected DC microgrid must concern to the interests of users. This paper focuses on a typical gridconnected DC microgrid with windPVdieselstorage and proposes a bilevel optimal model of microgrid configuration, which takes into account economic efficiency of enterprises and customer electricity experience. Considering the initial installation cost,operation and maintenance cost,fuel cost,replacement cost and energy exchange cost of the microgrid,an upper objective model minimizes the comprehensive economic cost, and a lower objective model minimizes the customer power shortage expectations. By constructing the power supply reliability correlation model, a KKT condition is utilized to realize decoupling of bilevel optimal model. The GAACO is then employed to solve the model,and the results of the case study demonstrate the validity and rationality of the model and algorithm.

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余雪莹,李华强,杨龙杰,等.兼顾企业综合成本与用户用电体验的微电网双层优化配置[J].电力科学与技术学报,2020,35(2):38-45.
YU Xueying, LI Huaqiang, YANG Longjie, et al. Bilevel programming method for optimal sizing of gridconnected DC microgrid system based on economic efficiency of enterprises and customer electricity experience[J]. Journal of Electric Power Science and Technology,2020,35(2):38-45.

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  • 在线发布日期: 2020-09-03
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