Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response

Zhe CHEN; Luyu WANG; Chuangxin GUO; Guang MA; Jinjiang ZHANG

doi:10.7500/AEPS20190813001

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Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response

Basic Research | 更新时间：2025-06-16

- Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response
- Automation of Electric Power Systems Vol. 44, Issue 10, Pages: 50-58(2020)
- 作者机构：
  
  1.浙江大学电气工程学院,浙江省杭州市 310027
  2.浙江科技学院自动化与电气工程学院,浙江省杭州市 310023
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China;Zhejiang Provincial Natural Science Foundation;State Grid Corporation of China
- DOI：10.7500/AEPS20190813001
  CLC：
- Received：31 August 2019，
  
  Revised：2019-10-09，
  
  Published Online：04 March 2020，
  
  Published：25 May 2020
- 稿件说明：
移动端阅览
陈哲,王橹裕,郭创新等.计及风电备用容量与需求响应的多备用资源鲁棒优化[J].电力系统自动化,2020,44(10):50-58.

CHEN Zhe,WANG Luyu,GUO Chuangxin,et al.Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response[J].Automation of Electric Power Systems,2020,44(10):50-58.
陈哲,王橹裕,郭创新等.计及风电备用容量与需求响应的多备用资源鲁棒优化[J].电力系统自动化,2020,44(10):50-58. DOI： 10.7500/AEPS20190813001.

CHEN Zhe,WANG Luyu,GUO Chuangxin,et al.Robust Optimization of Multiple Reserve Resources Considering Reserve Capacity of Wind Power and Demand Response[J].Automation of Electric Power Systems,2020,44(10):50-58. DOI： 10.7500/AEPS20190813001.

摘要

为缓解多重不确定性因素造成的系统运行与备用压力，提出了一种计及风电备用容量与需求侧响应的日前-日内两阶段多备用资源鲁棒优化模型。一方面，为充分发挥风电场与需求侧的备用容量，提高系统运行与备用的灵活性，分别对风电场备用与需求侧备用进行建模；另一方面，基于鲁棒优化模型对系统多种备用资源进行优化，保障电网在最恶劣运行工况下的安全可靠运行，提升了系统的鲁棒性。采用列和约束生成算法对两阶段鲁棒优化问题进行了求解。修改的IEEE RTS-79测试系统算例验证了所提模型与算法的有效性。结果表明，协同优化多种备用资源可以提升电力系统的运行灵活性，促进风电的消纳；同时，通过调节鲁棒模型中不确定性限值的大小，可以实现系统运行鲁棒性与经济性的平衡。

Abstract

To alleviate the system operation and reserve scheduling pressures caused by multiple levels of uncertainty

a two-stage robust optimization model of multiple reserve resources is proposed

which considers the reserve capacity of wind power and demand response. On one hand

to make full use of the wind farm and demand reserve capacity and improve the flexibility of system operation

the reserve capacity provided by wind farm and demand side is modeled， respectively. On the other hand

based on the robust optimization model

multiple reserve resources are co-optimized to ensure the safe and reliable operation of power grid in the worst operation conditions

thus improving the robustness of power system. The two-stage robust optimization problem is solved by the column and constraint generation (C&CG) algorithm. Simulation results on the modified IEEE RTS-79 test system verify the effectiveness of the proposed model and algorithm. The results show that the co-optimization of multiple reserve resources can improve the operation flexibility of power system and promote wind power consumption. At the same time

by adjusting the uncertainty set of the robust model

the balance between the robustness and economic efficiency of the system can be achieved.

关键词

Keywords

references

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