风电与储能系统协同运行的双层优化模型

Jingjing Wang, L. Yao, Jun Wang, S. Liao, Jian Xu, B. Mao, Boyu Xie
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引用次数: 0

摘要

从化石能源向清洁能源转型的需要促使风能、太阳能等可再生能源迅速发展。然而,随着可再生能源在电网中的渗透率不断提高,由于可再生能源的间歇性和波动性,对电网的能量平衡管理和控制等提出了新的挑战。储能一直被认为是缓解可再生能源对电网影响的有效途径,但为了提高可再生能源的调度能力,提高电网的可再生能源消纳能力,需要电网中储能与可再生能源的协同运行方式。针对风电与储能系统协调运行的优化方法,提出了实现风电与储能系统协调运行的双层优化模型。电网优化层对风电的日前调度进行优化,并将调度结果传递给储能系统优化层,储能系统优化层通过设计充放电策略来优化储能系统的输出功率和容量。仿真结果表明,所提出的双层优化模型可以减少因网络拥塞和调节能力不足造成的弃风惩罚,从而降低运行成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bi-level Optimization Model for Coordinated Operation of Wind Power and Energy Storage System
The need for energy transition from fossil energy to clean energy has resulted in the rapid development of renewable energies, such as wind and solar power. However, the increasing penetration of renewable energies in power grids has imposed new challenges on energy balance management and control, etc, of the power grid due to the intermittence and fluctuation of renewable energies. The use of energy storage has been considered an effective way to mitigate the impact of renewable energy on power grids, however, the coordinated operation method between energy storage and renewable energies in power grids is required, in order to increase the dispatch ability of renewable energies and improve renewable energy consumption capacity of power grids. Aiming to investigate optimal coordinated operation methods between wind power and energy storage, this paper proposes a bi-level optimization model to realize the coordinated operation of wind power and energy storage system. The grid optimization layer optimizes the day-ahead schedule of the wind power, and the scheduled result is transmitted to the energy storage system optimization layer, which optimizes the output power and capacity of the energy storage system by designing the charging and discharging strategy. Simulation results show that the proposed bi-level optimization model can reduce the wind curtailment penalty caused by network congestion and insufficient regulation ability, thus reducing the operation cost.
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