Optimal allocation method of hybrid energy storage capacity of multi-energy system under low-carbon background

IF 2.4 4区 工程技术 Q3 ENERGY & FUELS International Journal of Low-carbon Technologies Pub Date : 2023-01-01 DOI:10.1093/ijlct/ctad070
Xiran Wang, Ke Sun, Xuan Yang, Kai Yang, Jiaxi Chen
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引用次数: 1

Abstract

The energy dispatching and distribution ability is improved by optimizing the configuration of hybrid energy storage capacity of multi-energy system in low-carbon background, and an optimal configuration method of hybrid energy storage capacity of multi-energy system in low-carbon background based on equilibrium control and dynamic optimization algorithm is proposed. The data structure model of hybrid energy storage capacity distribution of multi-energy system is constructed. Under the condition that the energy storage optimal allocation model based on cost analysis meets the system performance index, the energy storage optimal allocation model is established with the objective function of minimizing the cost of configuring energy storage system, and with the objective of minimizing the fluctuation of active power of distributed power sources, such as wind and light. Taking the penalty cost of wind energy storage combined output power exceeding the fluctuation limit as the objective function, low-pass filtering method is adopted to stabilize the fluctuation of new energy power, and the optimal configuration capacity of energy storage system is determined according to the allowable frequency deviation and voltage stability of the system. Balanced control and dynamic optimization algorithm are adopted to realize the optimal configuration of hybrid energy storage capacity of multi-energy system under low-carbon background by combining different wind and solar energy combinations, different sampling intervals and different number of power stations. The simulation results show that the hybrid energy storage capacity allocation of multi-energy system has strong adaptability and high environmental adaptability, which effectively improves the transient stability of power grid system and further promotes the safe and stable operation of power grid system.
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低碳背景下多能系统混合储能容量优化分配方法
通过优化低碳背景下多能系统混合储能容量配置,提高能源调度分配能力,提出了一种基于均衡控制和动态优化算法的低碳背景下多能系统混合储能容量优化配置方法。建立了多能系统混合储能容量分布的数据结构模型。在基于成本分析的储能优化配置模型满足系统性能指标的条件下,以储能系统配置成本最小为目标函数,以风、光等分布式电源有功功率波动最小为目标,建立了储能优化配置模型。以风电联合输出功率超过波动极限的惩罚成本为目标函数,采用低通滤波方法稳定新能源功率的波动,根据系统允许的频率偏差和电压稳定性确定储能系统的最优配置容量。采用平衡控制和动态优化算法,结合不同的风能和太阳能组合、不同的采样间隔和不同的电站数量,实现低碳背景下多能系统混合储能容量的最优配置。仿真结果表明,多能系统的混合储能容量分配具有较强的适应性和较高的环境适应性,有效提高了电网系统的暂态稳定性,进一步促进了电网系统的安全稳定运行。
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来源期刊
CiteScore
4.30
自引率
4.30%
发文量
106
审稿时长
27 weeks
期刊介绍: The International Journal of Low-Carbon Technologies is a quarterly publication concerned with the challenge of climate change and its effects on the built environment and sustainability. The Journal publishes original, quality research papers on issues of climate change, sustainable development and the built environment related to architecture, building services engineering, civil engineering, building engineering, urban design and other disciplines. It features in-depth articles, technical notes, review papers, book reviews and special issues devoted to international conferences. The journal encourages submissions related to interdisciplinary research in the built environment. The journal is available in paper and electronic formats. All articles are peer-reviewed by leading experts in the field.
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