基于负荷资源预留的智能用电设备群调控策略
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TM93

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国家电网有限公司科技项目(9920156338)


Study on the regulation strategy of intelligent electrical equipment group based on load resource reservation
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    摘要:

    在电力市场化改革的背景下,针对新的电力供需与服务模式,提出基于负荷资源预留的智能用电设备群调控策略。为满足风电等新能源的消纳需求,在对负荷群进行调控时,预留部分负荷资源。当有新能源消纳需求时,调用预留资源对新能源进行消纳,从而提高新能源的利用率。在用户预约用电的模式之下,提出基于遗传算法的负荷群调控策略。仿真结果表明,算法能够在保证用户用电的前提下有效促进消纳新能源,并对负荷曲线进行优化。

    Abstract:

    In the background of power market reformation, the new power supply and demand service mode are emerging. A dispatching strategy of the intelligent electricity equipment group is proposed on the basis of the load resource reservation under those new modes. In order to meet the energy consumption demand of the renewable energy generation, such as the wind power, the main idea of regulating load is to reserve a part of the demand. The reserved resources are applied when there is demand for renewable energy consumption. Besides, under the mode of user's demand reservation, the load group control strategy is proposed based on genetic algorithm which guarantees the normal power consumption as the priority. Finally, a situation is included for verification. It is shown that the proposed algorithm effectively consumes the renewable energy generation while guaranteeing the user's electricity consumption demand, and the load curve is optimized at the same time.

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王伯伊,庄 斌,刘 迪,等.基于负荷资源预留的智能用电设备群调控策略[J].电力科学与技术学报,2020,35(3):92-98.
WANG Boyi, ZHUANG Bin, LIU Di, et al. Study on the regulation strategy of intelligent electrical equipment group based on load resource reservation[J]. Journal of Electric Power Science and Technology,2020,35(3):92-98.

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  • 在线发布日期: 2020-09-14
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