基于双层MPC的多源孤岛微网经济运行控制策略
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(1.国网甘肃省电力公司经济技术研究院,甘肃 兰州 730050;2.国网电动汽车服务有限公司,北京 100053)

作者简介:

张中丹(1978—),男,高级工程师,硕士研究生,从事电网规划和新能源并网技术研究。E-mail:zhangzdxt@ 163.com

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基金项目:

国家电网公司科技项目资助(52110417001G);2017年甘肃省青年科技基金资助(17JR5RA345)


Multi-source island microgrid economic operation control strategy based on double-layer MPC
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(1. State Grid Gansu Economic Research Institute, Lanzhou 730050, China;2. State Grid Electric Vehicle Service Company, Beijing 100053, China)

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    摘要:

    含有柴油发电机、光伏发电单元和储能单元的孤岛微网为偏远地区的能源供给提供了有效的解决途径,但是由于光伏出力与负荷需求的双重不确定性,目前尚缺乏行之有效的能量控制策略以同时保证孤岛微网的供电可靠性与经济性。如何在不间断供电的基础上,实现多源孤岛微网的经济运行已是电网公司亟待解决的新问题。为此,提出了一种基于双层模型预测控制(Model Predictive Control, MPC)的多源孤岛微网经济运行控制策略,以实现运行成本最小化,同时减小负荷和光伏功率波动带来的不利影响。通过仿真分析中国西北某村的经济运行成本验证了所提控制策略的有效性。

    Abstract:

    The island microgrids containing diesel generators, photovoltaic cells and energy storage units provide an effective solution to the energy supply in remote areas. However, due to the double uncertainty of renewable energy output and island microgrid load, there is still a lack of effective energy control strategies to ensure the reliability and economy of power supply of isolated island microgrids. Based on uninterrupted power supply, how to realize the economic operation of multi-source island microgrids is a new problem that the grid company needs to solve urgently. In this paper, a multi-source island micro-network economic operation control strategy based on the Model Predictive Control (MPC) is proposed to minimize the cost operation and reduce the adverse influence of load and the fluctuation of PV power fluctuation. The effectiveness of the control strategy is verified by analyzing the economic operation cost of a village in northwest China. This work is supported by Science and Technology Project of State Grid Corporation of China (No. 52110417001G).

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张中丹,吕金历,赵宇洋,等.基于双层MPC的多源孤岛微网经济运行控制策略[J].电力系统保护与控制,2019,47(7):168-174.[ZHANG Zhongdan, Lü Jinli, ZHAO Yuyang, et al. Multi-source island microgrid economic operation control strategy based on double-layer MPC[J]. Power System Protection and Control,2019,V47(7):168-174]

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  • 收稿日期:2018-04-23
  • 最后修改日期:2018-08-01
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  • 在线发布日期: 2019-04-12
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