Chance-constrained Optimal Configuration for Energy Storage System Considering Time-of-use Price and Maximum Transient Frequency Deviation

被引：0
作者：
Cao Y. [1 ]
Wu Q. [2 ]
Zhang H. [3 ]
Li C. [3 ]
机构：
[1] Center for Electric Power and Energy, Department of Electrical Engineering, Technical University of Denmark, Lyngby
[2] Tsinghua-Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen
[3] Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 02期
基金：
中国国家自然科学基金;
关键词：
chance-constrained optimization; energy storage system; frequency regulation capability; frequency stability; time-of-use price;
D O I：
10.7500/AEPS20220330005
中图分类号：
学科分类号：
摘要：
In order to compensate the decreasing frequency stability control resource caused by the large-scale integration of the renewable energy in the power system, a chance-constrained optimal configuration scheme considering the time-of-use price and the maximum transient frequency deviation (MTFD) is proposed for the energy storage system (ESS). Firstly, an extended system frequency response model is established to estimate the frequency dynamic response characteristics under the predefined contingency, from which the constraints of MTFD are extracted by the max-affine function based piecewise linearization method. Secondly, taking into account the uncertainty of contingencies, a chance-constrained optimization model is built to optimize the capacity of the ESS, with the objective of minimizing the investment cost and maximizing the peak-valley arbitrage income. Thirdly, the linear weighted method and the Monte Carlo- and nonlinear decreasing inertia weight-based particle swarm optimization algorithm are used to attain the optimal capacity of the ESS. Finally, a case study is carried out to validate the effectiveness of the proposed method. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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收藏
页码：61 / 68
页数：7
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