文章摘要
张津珲,王旭,蒋传文,等.新型城镇下含热电联产机组的配电网两阶段鲁棒优化调度[J].电力系统自动化. DOI: 10.7500/AEPS20181113004.
ZHANG Jinhui,WANG Xu,JIANG Chuanwen, et al.Two-stage Robust Optimization of CHP-Based Distribution Network under New-type Urbanization[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20181113004.
新型城镇下含热电联产机组的配电网两阶段鲁棒优化调度
Two-stage Robust Optimization of CHP-Based Distribution Network under New-type Urbanization
DOI:10.7500/AEPS20181113004
关键词: 新型城镇  配电网  电热联产机组  鲁棒优化  负荷响应
KeyWords: new-type urbanization  distribution network  CHP units  robust optimization  demand response
上网日期:2019-09-06
基金项目:国家重点研发计划,国家电力公司科技项目
作者单位E-mail
张津珲 上海交通大学电力传输与功率变换控制教育部重点实验室 SJTUZJH@163.com 
王旭 上海交通大学电力传输与功率变换控制教育部重点实验室 wangxu1989@sjtu.edu.cn 
蒋传文 上海交通大学电力传输与功率变换控制教育部重点实验室 jiangcw@sjtu.edu.cn 
龚开 上海交通大学电力传输与功率变换控制教育部重点实验室 527835828@qq.com 
尹硕 国网河南省电力公司经济技术研究院 812643161@qq.com 
杨萌 国网河南省电力公司经济技术研究院 3227454030@qq.com 
摘要:
      随着新型城镇化的改革,多种分布式电源与多元化负荷逐步接入配电网,多种不确定性因素对配电网的运行调度带来极大挑战。本文建立含热电联产(CHP)机组和风电机组的新型城镇配电网两阶段随机鲁棒优化模型。首先,采用场景集描述负荷波动的不确定性,采用保守性模型构建风电出力模糊集合。两阶段鲁棒优化调度中,第一阶段决策日前机组启停方案,第二阶段考虑风电出力的不确定性决策各机组实时出力。采用最优性(KKT)条件将第二阶段双层模型变为单层线性优化问题,整体两阶段模型采用列与约束生成(CCG)方法迭代求解,在负荷的场景集内得到考虑风电不确定性的新型城镇化配电网鲁棒优化调度方案。最后通过改进33节点算例和改进123节点算例验证了模型的鲁棒性和经济性以及调度方案应对负荷波动的适应性。
Abstract:
      As the reformation of new-type urbanization, varieties of distributed power resources and loads will be connected to the distribution network. System uncertainties make the traditional optimal scheduling problem more challenging. This paper proposes a two-stage robust scheduling model for the new-type urban distribution network, which consists of the CHP units and the wind turbines. Scenario sets and the conservation model are applied to describe the load fluctuations and the ambiguity sets of wind outputs, respectively. In the first stage of the two-stage model, the day-ahead unit commitments of the CHP units are determined. In the second stage, the optimal scheduling solution considering the system uncertainties are obtained. As the problem in the second stage is a bi-level robust optimization model, we use the Karush-Kuhn-Tucher method (KKT) to transform the model into a single-level problem. Then the proposed two-stage model is solved by the column-constraint-generation method (CCG) iteratively. Numerical case studies are implemented on the modified IEEE 33-bus and 123-bus networks. Simulation results demonstrate that the proposed two-stage robust optimization model balance the robustness and economy of the system and process the load fluctuations effectively. This work is supported by National Key R&D Program of China(2018YFB0905200) and State Grid Science & Technology Project(52170018000S).
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