引用本文: | 苏向敬,刘一航,张知宇,符 杨.计及源荷不确定影响的不平衡配电网两阶段优化[J].电力系统保护与控制,2022,50(23):94-103.[点击复制] |
SU Xiangjing,LIU Yihang,ZHANG Zhiyu,FU Yang.Two-stage optimization of unbalanced distribution networks considering impacts ofDG and load uncertainties[J].Power System Protection and Control,2022,50(23):94-103[点击复制] |
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摘要: |
在“碳达峰、碳中和”国家战略背景下,分布式电源(distributed generators, DG)的大量接入虽然带来显著的社会和环境效益,但其高间歇性与不确定性也导致峰谷差拉大、电压频繁越限,危害配网安全稳定运行。作为缓解上述问题的有效手段,储能与DG的协调控制近年来得到广泛关注。但现有研究普遍基于三相平衡网络模型假设,且受储能自身特性限制对DG不确定性影响考虑不足。为此,提出一种基于储能和DG协同控制的不平衡配电网两阶段优化策略。其中,第I阶段基于三相配网模型和源荷功率预测,对储能开展长时尺度(24 h)优化调度,以提升运行经济性。针对第I阶段存在的电压越限风险,第II阶段基于源荷不确定性建模和DG逆变器无功能力,在短时间尺度(15 min)开展不平衡配网电压分布式鲁棒优化,以提升运行安全性。对上述两阶段优化问题采用凸化和对偶重构手段进行求解,并基于真实配电网案例进行仿真验证。结果表明:所提两阶段优化策略能有效计及三相不平衡和源荷不确定影响,并提升配电网运行的经济性与安全性。 |
关键词: 分布式电源 电池储能 不平衡配电网 分布式鲁棒优化 凸优化 |
DOI:DOI: 10.19783/j.cnki.pspc.220202 |
投稿时间:2022-02-21修订日期:2022-05-09 |
基金项目:国家自然科学基金面上项目资助(61873159);上海绿色能源并网工程技术研究中心项目资助(13DZ2251900) |
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Two-stage optimization of unbalanced distribution networks considering impacts ofDG and load uncertainties |
SU Xiangjing,LIU Yihang,ZHANG Zhiyu,FU Yang |
(1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. Haiyan Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Jiaxing 314300, China) |
Abstract: |
In the context of a national strategy of ‘emission peak and carbon neutrality’, the penetration of distributed generators (DG) is increasing dramatically, bringing significant social and environmental benefits. However, DG features such as high intermittency and uncertainty lead to problems such as high peak-valley difference and frequent voltage violation, causing negative impacts on the safe and stable operation of distribution networks. As one of the most effective solutions, the coordination of a battery energy storage system (BESS) and DG has been attracting a lot of attention. However, existing studies of BESS and DG coordination unreasonably assume distribution networks are three-phase balanced, and are less capable to deal with uncertainties because of the limitations of BESS characteristics. Thus, a BESS and DG-based two-stage control strategy of unbalanced distribution networks is proposed. Specifically, based on a three-phase network model and predictions of DG and load power, stage I performs BESS control on a long-time scale (24 hours) to improve the operational economy. To deal with the voltage violation risk in stage I, stage II conducts distributionally robust voltage optimization of the unbalanced distribution network over a short time scale (15 min), based on source-load uncertainty modeling and the reactive capability of a DG inverter, thus improving the operational safety. Convex optimization and dual reconstruction are used to solve the above two-stage optimization problem, and simulations are carried out on a real distribution network. The results show that the proposed two-stage optimization strategy can effectively take into account the impacts of three-phase unbalance and source-load uncertainty, and also improve the economy and safety of distribution network operation.
This work is supported by the General Program of National Natural Science Foundation of China (No. 61873159). |
Key words: distributed generation battery energy storage system unbalanced distribution network distributionally robust optimization convex optimization |