Robust Day-Ahead Scheduling of Source-Network-Load-Storage Flexible Resources for Wind Power Accommodation

2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT) Pub Date : 2021-12-01 DOI:10.1109/CEECT53198.2021.9672632

Qiang Zhou, Xiaochuan Xu, Wenhao Xiao, Yanbin Xie, Yuan Zhu, F. Mu

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引用次数: 1

Abstract

In view of the large-scale development of wind power around the world, the coordination scheduling of source-network-load-storage (SNLS) flexible resources is beneficial to utilize wind power. Firstly, considering uncertainties of both wind power and price-based demand response (PDR), this paper constructs a day-ahead scheduling model of SNLS flexible resources based on robust optimization framework. Secondly, the constructed model considers the operation characteristics of SNLS flexible resources, with the minimum total cost as the optimization goal, and considers life constraints on battery energy storage (BES) and congestion management on transmission lines. After linearization, the model constructed in this paper is formulated as a mixed-integer linear programming (MILP) problem. Finally, numerical test is carried out on the modified version of the IEEE 30-bus test system. Through comparative analysis, the test results verify the feasibility and effectiveness of the proposed method for scheduling SNLS flexible resources to accommodate wind power.

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风电调节源-网-蓄柔性资源的鲁棒日前调度

鉴于风电在世界范围内的大规模发展，对源-网-负荷-蓄(SNLS)柔性资源进行协调调度有利于风电的有效利用。首先，考虑风电和基于价格的需求响应(PDR)的不确定性，构建基于鲁棒优化框架的SNLS柔性资源日前调度模型。其次，构建的模型考虑了SNLS柔性资源的运行特点，以总成本最小为优化目标，考虑了电池储能(BES)的寿命约束和输电线路的拥塞管理。在线性化之后，本文所建立的模型被表述为一个混合整数线性规划问题。最后，对改进版的IEEE 30总线测试系统进行了数值测试。通过对比分析，试验结果验证了所提出的SNLS柔性资源调度适应风电的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT)

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