Monthly Generation Scheduling Method of Renewable Energy Power System Based on Power Plant Aggregation & Decomposition Models

被引：0

作者：

Li P. ^{[1
]}

Fan Y. ^{[2
]}

Huang Y. ^{[1
]}

Sun Y. ^{[3
]}

Wang W. ^{[1
]}

Liu C. ^{[1
]}

机构：

[1] State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Haidian District, Beijing

[2] State Grid Qinghai Electric Power Company, Xining, 810000, Qinghai Province

[3] State Grid Xinjiang Electric Power Co., Ltd., Urumqi, 830063, Xinjiang Uygur Autonomous Region

来源：

Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 09期

关键词：

Aggregation and decomposition model; Monthly generation scheduling; Multi-scenarios; Renewable energy power system; Unit commitment;

D O I：

10.13335/j.1000-3673.pst.2020.0509

中图分类号：

学科分类号：

摘要：

Monthly generation scheduling and unit commitment is a great challenge for renewable energy power system due to the intermittent and volatile characteristics of large-scale renewable energy. This paper proposes a monthly generation scheduling method based on power plant aggregation-decomposition models. Firstly, under the framework of power grid aggregation, an aggregation model for the same type thermal units and wind and photovoltaic (PV) power stations integrated in the same grid nodes is established. And then, a monthly aggregation unit commitment optimization model is constructed and multi-scenarios of wind and PV power outputs are incorporated as inputs to optimize the aggregated unit committed state and power generation of wind and PV stations. Finally, a unit commitment decomposition and an economic dispatching models are proposed to obtain the optimal unit commitment and monthly generation schedules considering multi-scenarios. Case studies are conducted with the actual data of a provincial power grid, and the testing results verify the effectiveness and applicability of the proposed method. © 2020, Power System Technology Press. All right reserved.

引用

页码：3281 / 3289

页数：8

共 24 条

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