Generation and Load Integrated Optimal Scheduling Considering Adjustable Load

被引：0
|
作者：
Hou H. [1 ]
Xu T. [1 ]
Xiao Z. [2 ,3 ]
Deng X. [1 ]
Liu P. [1 ]
Xue M. [1 ]
机构：
[1] School of Automation, Wuhan University of Technology, Wuhan
[2] Economic & Technical Research Institute of State Grid Hunan Electric Power Company Limited, Changsha
[3] Hunan Key Laboratory of Energy Internet Supply-demand and Operation(Economic & Technical Research Institute of State Grid Hunan Electric Power Company Limited), Changsha
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 11期
关键词：
Electric vehicle; Generation and load integrated scheduling; Interruptible load; Scheduling strategy; Transferable load;
D O I：
10.13335/j.1000-3673.pst.2020.0268a
中图分类号：
学科分类号：
摘要：
The rapid development of renewable energy and adjustable load has brought challenges to the safety and economic operation of the power generation side. In this paper, a generation and load integrated optimal scheduling strategy considering adjustable load is proposed, in which the adjustable loads such as the transferable loads, the interruptible loads and the electric vehicles may participate in the scheduling by reporting to the load agents. Considering the constraints of wind and solar power generation utilization rate and user satisfaction with electricity expenditure, a scheduling strategy model is established which optimizes the benefits of the wind-photovoltaic-storage hybrid power system and the benefits of user side. Meanwhile, the multi-objective particle swarm optimization algorithm is used to solve the model. Besides, the scheduling results are compared with those considering three types of adjustable loads respectively, and the effects of the three types of adjustable loads on the results are analyzed. A case is given to show that the proposed strategy can maximize the benefits of the wind-photovoltaic-storage hybrid power system and the benefits of user side. © 2020, Power System Technology Press. All right reserved.
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页码：4294 / 4301
页数：7
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