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Robust transmission expansion planning model considering multiple uncertainties and active load

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输电网扩展规划中的不确定性问题必须得到很好的解决,它极大地影响着电力系统的可靠性和成本效益。由于电力系统运行环境复杂,在规划阶段考虑不同类型的不确定性至关重要。本文提出了一种考虑多重不确定性和主动负荷的鲁棒输电网扩展规划模型。具体来说,该模型同时考虑了风电出力和故障概率的不确定性,并采用情景和区间描述不确定性,进一步采用奔德斯分解技术对模型进行求解。以IEEE RTS和IEEE 118节点系统为例,说明了该模型的可行性和有效性。

Robust transmission expansion planning model considering multiple uncertainties and active load

考虑多阶不确定性和主动负荷的输电网鲁棒扩展规划模型

Wensheng Li1, Long Zhao1, Yin Bo3, Weilun Wang2, Mingqiang Wang2, Shuai Liu2, Rui Liu1, Xian Wang1

(1.Economic & Technology Research Institute, State Grid Shandong Electric Power Company,Jinan 250021, Shandong Province, P. R China 2.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, Shandong Province, P. R China 3.Global Energy Interconnection Group Co., Ltd., Xicheng District, 100031, Beijing, P. R. China)

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Abstract

Uncertainty must be well addressed in transmission expansion planning (TEP) problem, and it significantly affects the reliability and cost-effectiveness of power systems. Owing to the complex operating environment of power systems, it is crucial to consider different types of uncertainties during the planning stage. In this paper, a robust TEP model is proposed by considering multiple uncertainties and active load. Specifically, in this model, the uncertainties of wind power output and contingency probability are considered simultaneously. The uncertainties are described by scenario and interval, and the Benders decomposition technique is applied to solve the model. The feasibility and effectiveness of the proposed model are illustrated using the IEEE RTS and IEEE 118-node systems.

Keywords

Benders decomposition, Transmission expansion planning, Robust optimization, Uncertainty.

Fig.1   Relationship between total cost and

Fig.2  Relationship between total cost and μ

本文引文信息

Li W, Zhao L, Bo Y, Wang W, Wang M, Liu S, Liu R, Wang X (2021) Robust transmission expansion planning model considering multiple uncertainties and active load, 4(5): 476-484

李文升,赵龙,尹博,王纬纶,王明强,刘帅,刘蕊,王宪 (2021) 考虑多阶不确定性和主动负荷的输电网鲁棒扩展规划模型. 全球能源互联网(英文),4(5): 476-484

Biographies

Wensheng Li

Wensheng Li received his M.S. degree from the School of Electrical Engineering, Shandong University, China in 2012. He is currently a professor at the Economic and Technology Research Institute of the State Grid Shandong Electric Power Company. His research interests include power system planning and management.

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Long Zhao

Long Zhao received his M.S. degree from the School of Electrical Engineering, Shandong University, China in 2003. He is currently a professor at the Economic and Technology Research Institute of the State Grid Shandong Electric Power Company. His research interests include power system planning and management.

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Weilun Wang

Weilun Wang received his B.S. degree from the School of Electrical Engineering, Shandong University, China in 2018. He is currently pursuing a M.S. degree in electrical engineering at Shandong University. His research interests include power system economic operation and planning.

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Mingqiang Wang

Mingqiang Wang received his Ph.D. degree from Nanyang Technological University, Singapore, in 2012, and his B.S. and M.S. degrees from the School of Electrical Engineering, Shandong University, China in 2004 and 2007, respectively. He is currently an associate professor at the School of Electrical Engineering,  Shandong  University, Jinan,

Shandong province, China. His research interests include power system economic operation and microgrids.

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Shuai Liu 

Shuai Liu received his B.S degree from the School of Electrical Engineering, Shandong University, China in 2020. He is currently pursuing an M.S degree in electrical engineering at Shandong University. His research interests include power system economic operation.

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Rui Liu

Rui Liu received her M.S. degree from the School of Electrical Engineering, Zhejiang University of Technology, China in 2018. She is currently an engineer at the Economic and Technology Research Institute of the State Grid Shandong Electric Power Company. Her research interests include the high proportion new energy power system planning technology.

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Xian Wang

Xian Wang received her M.S. degree from the School of Electrical Engineering, North China Electric Power University, China in 2017. She is currently an engineer at the Economic and Technology Research Institute of the State Grid Shandong Electric Power Company. Her research interests include the high proportion new energy power system planning technology.

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审核:王   伟

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