| 引用本文: | 商立群,惠泽,王建新.计及UPFC最优配置的电力系统鲁棒调度协同优化策略[J].电力自动化设备,2024,44(2):165-172. |
| SHANG Liqun,HUI Ze,WANG Jianxin.Robust scheduling collaborative optimization strategy of power system considering optimal configuration of UPFC[J].Electric Power Automation Equipment,2024,44(2):165-172. |
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| 摘要: |
| 统一潮流控制器(UPFC)应用于潮流调控时，计及UPFC调控参数的交流潮流计算是非凸、非线性问题，且多台装置间的非线性交叉耦合特性也会直接影响优化配置方案。为此，基于UPFC的潮流调控特性，构建了计及UPFC的松弛型交流潮流二阶锥规划模型；计及风电的不确定性，协同考虑UPFC的规划和电力系统的调度问题，建立了计及UPFC最优配置的电力系统鲁棒协同优化模型，并采用列和约束生成算法进行求解。以IEEE RTS-24节点系统为算例进行仿真分析，结果表明所提协同优化策略有效提升了UPFC配置方案的适应性，提高了系统运行经济性和风电消纳能力，增强了系统运行调控的灵活性。 |
| 关键词: UPFC 风电不确定性 凸优化 交叉耦合特性 鲁棒调度 协同优化 电力系统 |
| DOI：10.16081/j.epae.202305014 |
| 分类号: |
| 基金项目:陕西省自然科学基础研究计划资助项目(2021JM-393) |
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| Robust scheduling collaborative optimization strategy of power system considering optimal configuration of UPFC |
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SHANG Liqun, HUI Ze, WANG Jianxin
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Xi’an Key Laboratory of Electrical Equipment Condition Monitoring and Power Supply Security, School of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’an 710054, China
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| Abstract: |
| When unified power flow controller(UPFC) is applied to power flow control, the calculation of AC power flow considering UPFC control parameters is a non-convex and nonlinear problem, and the nonlinear cross-coupling characteristics between multiple devices will directly affect the optimal configuration scheme. Therefore, based on the power flow control characteristics of UPFC, a relaxed AC power flow second-order cone programming model with UPFC is constructed. Considering the uncertainty of wind power, a robust collaborative optimization model of power system with the optimal UPFC configuration is established with the consideration of UPFC planning and power system scheduling, which is solved by column-and-constraint generation algorithm. Taking IEEE RTS-24-bus system as an example for simulation analysis, and the results show that the proposed collaborative optimization strategy effectively improves the adaptability of UPFC configuration scheme, improves the system operation economy and wind power absorption ability, and enhances the operation and regulation flexibility of system. |
| Key words: UPFC wind power uncertainty convex optimization cross-coupling characteristic robust scheduling collaborative optimization electric power systems |
