Optimal Dispatching Technology of Distributed Power Generation Based on Situation Awareness

Yu Xia^1, , Xinyuan Zhang¹, Haoran Ge¹, Shaofei Hao¹ and Wenjing Zou¹

¹School of NARI Electric & Automation Engineering, Nanjing Normal University, Nanjing, China

Cite this paper

Yu Xia, Xinyuan Zhang, Haoran Ge, Shaofei Hao and Wenjing Zou. Optimal Dispatching Technology of Distributed Power Generation Based on Situation Awareness. American Journal of Electrical and Electronic Engineering. 2021; 9(1):7-11. doi: 10.12691/AJEEE-9-1-2

Abstract

The comprehensive utilization of distributed power sources can effectively reduce the consumption of fossil energy and reduce carbon emissions. Based on the situational awareness technology, this paper proposes a distributed power optimization dispatching technology, with the least carbon emission as the optimization goal and meeting the grid load demand as the constraint condition. First, in the situation awareness stage, collect information such as the operation status of the power grid; second, use the data collected by situation awareness to simulate the operation of the power grid in the situation understanding stage to achieve in-depth perception of the power grid; finally, consider the grid operating load in the situation guidance stage Demand adjustment and optimization strategy to realize flexible dispatch and control of the power grid in a favorable direction. This paper takes the IEEE 30-bus system as an example for simulation analysis, and the simulation results verify the effectiveness of the proposed method.

Keywords

situation awareness, distributed power, optimal scheduling

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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