Coordinated Planning of Centralized and Distributed Battery Energy Storage for Improving Renewable Energy Accommodation Capability

被引：0
|
作者：
Cai F. [1 ]
Hu Z. [1 ]
Cao M. [1 ]
Cai D. [2 ]
Chen R. [2 ]
Sun G. [2 ]
机构：
[1] Department of Electrical Engineering, Tsinghua University, Beijing
[2] State Grid Hubei Electric Power Research Institute, Wuhan
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 20期
关键词：
analytical target cascading method; battery energy storage; distribution network; optimal planning; renewable energy power generation; transmission network;
D O I：
10.7500/AEPS20220331010
中图分类号：
学科分类号：
摘要：
With the increasing proportion of renewable energy power generation, the randomness and volatility of its output bring great challenges to the safe and stable operation of the power grid. Installing appropriate battery energy storage system in the power grid is an important means to promote the access and accommodation of the renewable energy power generation. From the perspective of transmission and distribution networks, the coordinated optimization planning for the centralized and distributed battery energy storage systems is considered. The centralized battery energy storage systems are installed in the transmission network and distributed battery energy storage systems are installed in the distribution network. The whole problem is decomposed into a main problem of optimal configuration for the centralized energy storage at the transmission network layer and a subproblem of optimal configuration for the distributed energy storage at each distribution network layer. In order to consider the active and reactive power exchange between the two layers, the linearized power flow model of the transmission network including reactive power is adopted in the main problem. In view of the characteristics of the main problem and the subproblem, an improved analytical target cascading method is proposed to solve the problem. Simulation analysis is carried out on the basis of the designed system with the IEEE 24-bus transmission network and the IEEE 33-bus distribution network. Results show that the proposed method can effectively improve the renewable energy accommodation capability in the power grid by installing appropriate battery energy storage in transmission and distribution networks. © 2022 Automation of Electric Power Systems Press. All rights reserved.
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页码：23 / 32
页数：9
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共 28 条
  • [1] XIN Baoan, SHAN Baoguo, LI Qionghui, Et al., Rethinking of the “three elements of energy” toward carbon peak and carbon neutrality, Proceedings of the CSEE, 42, 9, pp. 3117-3126, (2022)
  • [2] LEMMON J, MIAO Ping, YAO Zhen, Et al., Current situations and prospects of energy storage batteries, Energy Storage Science and Technology, 9, 3, pp. 670-678, (2020)
  • [3] PAUL S, NATH A P, RATHER Z H., A multi-objective planning framework for coordinated generation from offshore wind farm and battery energy storage system, IEEE Transactions on Sustainable Energy, 11, 4, pp. 2087-2097, (2020)
  • [4] CAO M J, XU Q S, CAI J L, Et al., Optimal sizing strategy for energy storage system considering correlated forecast uncertainties of dispatchable resources, International Journal of Electrical Power & Energy Systems, 108, pp. 336-346, (2019)
  • [5] ZHANG F, HU Z C, SONG Y H., Mixed-integer linear model for transmission expansion planning with line losses and energy storage systems, IET Generation, Transmission & Distribution, 7, 8, pp. 919-928, (2013)
  • [6] DAI Qian, WU Junling, QIN Xiaohui, Et al., Optimal configuration method of energy storage capacity for improving delivery ability of renewable energy in regional area, Automation of Electric Power Systems, 46, 3, pp. 67-74, (2022)
  • [7] HUANG Ying, LIU Baozhu, WANG Kunyu, Et al., Joint planning of energy storage and transmission network considering wind power accommodation capability, Power System Technology, 42, 5, pp. 1480-1489, (2018)
  • [8] YOU Yi, LIU Dong, ZHONG Qing, Et al., Multi-objective optimal placement of energy storage systems in an active distribution network, Automation of Electric Power Systems, 38, 18, pp. 46-52, (2014)
  • [9] LIN Z, HU Z C, ZHANG H C, Et al., Optimal ESS allocation in distribution network using accelerated generalized Benders decomposition, IET Generation, Transmission & Distribution, 13, 13, pp. 2738-2746, (2019)
  • [10] XIAO Jun, ZHANG Zequn, LIANG Haishen, Optimal method for placement and capacity of energy storage in distribution system, Automation of Electric Power Systems, 39, 19, pp. 54-60, (2015)
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