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计及风电备用容量与需求侧响应的多备用资源鲁棒优化
作者:
作者单位:

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:

通讯作者:

基金项目:

国家重点研发计划资助项目(2017YFB0902600);浙江省自然科学基金资助项目(LZ14E070001);国家电网公司科技项目(52110418000T)。


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

1.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.College of Electrical Engineering, Zhejiang University of Science &3.Technology, Hangzhou 310023, China

Fund Project:

This work is supported by National Key R&D Program of China (No.2017YFB0902600), Zhejiang Provincial Natural Science Foundation (No.LZ14E070001) and State Grid Corporation of China (No.52110418000T).

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    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,为充分发挥风电机组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 wind power reserve capacity and demand response. On the one hand, to make full use of the wind farm and demand reserve capacity and improve the flexibility of system operation, the reserve provided by wind power 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 operating 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 operational 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.

    表 1 考虑不同备用资源系统优化结果Table 1 Optimization results considering different reserve resources
    图1 传统发电机组出力与备用方式Fig.1 Generation and reserve model of traditional generators
    图2 风电场出力与备用方式Fig.2 Generation and reserve model of wind farms
    图3 各模型备用优化结果Fig.3 Reserve optimization results of different models
    图4 随不确定性限值变化的成本Fig.4 Costs varying with the change of uncertainty limits
    图5 各备用资源占比随风电备用容量价格的变化Fig.5 Ratios of reserve resources varying with the price of wind power reserve
    图 各模型机组组合结果Fig. Unit Commitment results of different models
    表 2 鲁棒优化模型与基于场景的随机优化模型的对比Table 2 Comparison of robust model and scenario-based stochastic model
    表 3 不确定性限值对计算效率的影响Table 3 Impact of uncertainty limits on computational efficiency
    表 4 Table 4
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引用本文

陈哲,王橹裕,郭创新,等.计及风电备用容量与需求侧响应的多备用资源鲁棒优化[J/OL].电力系统自动化,http://doi.org/10.7500/AEPS20190813001.
CHEN Zhe,WANG Luyu,GUO Chuangxin,et al.Robust Optimization of Multiple Reserve Resources Considering Wind Power Reserve Capacity and Demand Response[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190813001.

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历史
  • 收稿日期:2019-08-13
  • 最后修改日期:2020-03-03
  • 录用日期:2019-10-11
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