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计及激励型需求侧响应的发输电鲁棒规划策略
引用本文:孙磊,王一均,丁江,丁明,王芃.计及激励型需求侧响应的发输电鲁棒规划策略[J].电力建设,2022,43(7):63-72.
作者姓名:孙磊  王一均  丁江  丁明  王芃
作者单位:1.合肥工业大学电气与自动化工程学院, 合肥市 2300092.新能源利用与节能安徽省重点实验室, 合肥市 2300093.国网能源研究院有限公司, 北京市 102209
基金项目:国家自然科学基金资助项目(51907043);中央高校基本科研业务费专项资金资助项目(JZ2020HGTB0040)
摘    要:大规模风电等可再生能源广泛接入电网将成为新型电力系统发展的重要方向之一, 通过需求侧响应机制调整用户负荷需求, 可有效提高电力系统运行的灵活性并促进风电的消纳。在此背景下, 提出了一种计及激励型需求侧响应的发输电鲁棒规划策略。首先, 引入基于价格激励的需求侧响应机制, 构建基于分段激励价格的需求侧响应模型。其次, 为了有效应对风电的不确定性对规划方案的影响, 提出了基于信息间隙决策理论的计及激励型需求侧响应的发输电鲁棒规划模型, 并将所提出的模型构造为混合整数线性规划模型。最后, 以Garver 6节点系统和改进的IEEE 118系统为例证明所提方法的可行性与有效性。

关 键 词:发输电规划  需求侧响应  风电  信息间隙决策理论  混合整数线性规划  
收稿时间:2021-12-13

Robust Generation and Transmission Expansion Planning Model Considering Incentive-Based Demand Response
SUN Lei,WANG Yijun,DING Jiang,DING Ming,WANG Peng.Robust Generation and Transmission Expansion Planning Model Considering Incentive-Based Demand Response[J].Electric Power Construction,2022,43(7):63-72.
Authors:SUN Lei  WANG Yijun  DING Jiang  DING Ming  WANG Peng
Affiliation:1. School of Electrical Engineer and Automation, Hefei University of Technology, Hefei 230009, China2. Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei 230009, China3. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
Abstract:The extensive access of the large-scale renewable energy, such as wind power, to power systems will be one of the important directions for the development of the new-type power systems. The power demands of customers can be adjusted by employing the demand response mechanism to improve the flexibility of power system operation and promote the consumption of wind power. In this context, a generation and transmission expansion planning model is proposed taking the incentive-based demand response into account. Firstly, the incentive-based demand response mechanism is introduced, and a demand response model based on the segmented price incentive is proposed. Secondly, a robust generation and transmission expansion planning model based on the information gap decision theory is proposed considering incentive-based demand response, and formulated as a mixed integer linear model. Finally, the Garver 6-bus system and the improved IEEE 118-bus system are served for demonstrating the feasibility and validity of the proposed method.
Keywords:generation and transmission expansion planning  demand response  wind power  information gap decision theory  mixed integer linear programming  
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