考虑源荷特性的双层互动优化调度
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(1.新疆大学电气工程学院,新疆 乌鲁木齐 830047;2.新疆兵电能源研究院股份有限公司, 新疆 乌鲁木齐 830000; 3.国网新疆电力有限公司经济技术研究院, 新疆 乌鲁木齐 830011)

作者简介:

陈志杰(1994—),男,硕士研究生,研究方向为电力系统调度优化;E-mail:czj1075473638@163.com
李凤婷(1965—),女,博士,教授,博士生导师,研究方向为含间歇性能源、负荷的系统运行控制与保护。E-mail:xjlft2009@sina.com

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新疆维吾尔自治区科技支疆项目资助(2017E0277)


A bi-level interactive optimization scheduling considering source-load characteristics
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(1. College of Electrical Engineering, Xinjiang University, Urumqi 830047, China;2. Xinjiang Military Power Research Institute Co., Ltd., Urumqi 830000, China;3. Economic Research Institute, State Grid Xinjiang Electric Power Co., Ltd., Urumqi 830011, China)

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    摘要:

    针对含风电电力系统的风电消纳水平低及高峰谷差问题,提出了一种综合考虑电源侧与负荷侧特性的双层互动调度策略。该策略将源荷分层并各自建模,考虑分时电价等激励措施下可控负荷时空调节能力,以最小发电成本为目标优化电源组合,降低负荷峰谷差,增强常规机组提供旋转备用的能力。采用CPLEX对源荷双层互动模型优化求解。经验证,该策略在保证电网稳定运行的前提下,可进一步提高电力系统运行的经济性和调节能力,具有较好的实用性。

    Abstract:

    For the wind power system with low wind power consumption level and peak valley difference, this paper proposes a bi-level interactive scheduling strategy that takes into account the characteristics of the power supply side and the load side. The strategy stratifies and models the source and load, considers the controllable load space-time adjustment ability under the incentive measures such as time-of-use price, optimizes the power supply combination with the minimum power generation cost, reduces the load peak-to-valley difference, and enhances the conventional unit to provide spinning reserve ability. The CPLEX is used to optimize the source-load bi-level interaction model. It is verified that the strategy can further improve the economical and adjustment ability of the power system operation under the premise of ensuring the stable operation of the power grid, and has good practicability. This work is supported by Science and Technology Support Xinjiang Project of the Xinjiang Uygur Autonomous Region (No. 2017E0277).

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陈志杰,李凤婷,赵新利,等.考虑源荷特性的双层互动优化调度[J].电力系统保护与控制,2020,48(1):135-141.[CHEN Zhijie, LI Fengting, ZHAO Xinli, et al. A bi-level interactive optimization scheduling considering source-load characteristics[J]. Power System Protection and Control,2020,V48(1):135-141]

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  • 收稿日期:2019-02-23
  • 最后修改日期:2019-04-03
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  • 在线发布日期: 2019-12-31
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