Thinking and Technical Practice of Adjustable Load Resources Participating in Dispatching and Control of Power Grid

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Abstract

With the rapid development of the scale for renewable energy and the change of grid characteristics, the dispatching space of traditional adjustable resources becomes smaller and smaller. It is urgent to effectively expand the adjustable resources of power grid and promote transition from the traditional passive 'source changing with load' mode to the collaborative 'interaction between source and load' mode. This paper proposes the technical architecture and some technologies of adjustable load resources participating in dispatching and control without changing the structure of existing dispatching and control system of smart grid. After being converged on the aggregator's operation platform, the adjustable load resources are connected to the load dispatching and control platform. A three-level business system of dispatching and control center-aggregator load resources is constructed, so as to realize the real-time interactions of monitoring, control, market and other information between dispatching and control center and aggregators, and support the load resources participating in the whole grid dispatching and optimization through continuous power regulation. The 168 hour closed-loop control of orderly charging piles and distributed energy storage clusters in Beijing is conducted by the North China power grid, the feasibility of the technical route is verified. This route helps several adjustable load aggregators participate in peak-shaving auxiliary service market of North China power grid. Finally, the technical problems about large-scale adjustable load resources widely participating in power grid regulation are analyzed and prospected.

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APA

Ning, J., Jiang, C., Zhang, Z., Zhang, Y., Guo, L., Shi, P., & Gu, Y. (2020). Thinking and Technical Practice of Adjustable Load Resources Participating in Dispatching and Control of Power Grid. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 44(17), 1–8. https://doi.org/10.7500/AEPS20191226007

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