储能科学与技术 ›› 2024, Vol. 13 ›› Issue (5): 1584-1591.doi: 10.19799/j.cnki.2095-4239.2023.0940

• 储能系统与工程 • 上一篇    下一篇

基于熵理论的能量调节性能研究

孙振新(), 张秩鸣(), 马俯波, 蒋丛进, 杜昊易, 陈换军, 张玉魁   

  1. 国家能源集团新能源技术研究院有限公司,北京 102211
  • 收稿日期:2023-12-25 修回日期:2024-01-15 出版日期:2024-05-28 发布日期:2024-05-28
  • 通讯作者: 张秩鸣 E-mail:12024114@chnenergy.com.cn;12111706@chnenergy.com.cn
  • 作者简介:孙振新(1983—),男,硕士,高级工程师,主要从事新能源、储能技术研究,E-mail:12024114@chnenergy.com.cn
  • 基金资助:
    2020年度国家能源集团科技项目(GJNY-20-124)

Investigation of energy regulation performance based on entropy theory

Zhenxin SUN(), Zhiming ZHANG(), Fubo MA, Congjin JIANG, Haoyi DU, Huanjun CHEN, Yukui ZHANG   

  1. New Energy Technology Research Institute, Beijing 102211, China
  • Received:2023-12-25 Revised:2024-01-15 Online:2024-05-28 Published:2024-05-28
  • Contact: Zhiming ZHANG E-mail:12024114@chnenergy.com.cn;12111706@chnenergy.com.cn

摘要:

在高比例风、光接入背景下,电力系统面临日益突出的能量调节压力。当下,储能作为构建新型电力系统的重要支撑面临配置成本高,利用率不足等问题。本工作基于克劳修斯熵理论,构建出一种可用于量化及评价能源系统能量-时间解耦能力的物理量——功率熵,系统研究了功率熵与功率、时长、容量等储能配置关键决策变量间的内在关系,发现功率熵与多种关键决策变量间具有一致的正相关关系,可用于衡量储能综合调节性能,同时功率熵还兼具体现储能功率时序特征的功能。基于功率熵所展现的特性,本工作建立了基于功率熵的电力系统储能配置优化分析方法,并通过模拟案例分析对功率熵在储能配置优化中的作用进行了验证。结果显示,在不同的储能配置下,系统功率熵增不同,系统优化方向是由储能引入系统的功率熵增逐渐减小的方向,也即储能调节性能冗余逐渐减少的方向。功率熵的概念为未来电力系统的储能配置优化,乃至综合能源系统内部多种能源形式的配置优化提供了一种新思路。

关键词: 储能技术, 优化配置, 克劳修斯熵, 功率熵

Abstract:

Considering the increasing importance of wind and solar energy, the power system increasingly faces prominent energy regulation pressure. Presently, energy storage, as an important supporting factor for building the new power system, faces problems such as high configuration costs and insufficient utilization. Based on Clausius entropy theory, this study constructs a physical quantity, power entropy, to quantify and evaluate the energy-time decoupling ability of an energy system. Taking an energy storage system as an analysis case, this study systematically studies the internal relationship between power entropy and key decision variables of energy storage configuration, such as power, duration, and capacity. It is found that there is a consistent positive correlation between power entropy and a variety of key decision variables, that can measure the comprehensive regulation performance of energy storage; additionally, power entropy also reflects the timing characteristics of energy storage. Based on these characteristics demonstrated by power entropy, this study establishes a power entropy-based optimization analysis method for power system energy storage configuration, and verifies the role of power entropy in energy storage configuration optimization through simulation case analysis. The results show that under different energy storage configurations, the increase in system power entropy is different; additionally, they show that the direction of system optimization is the direction in which the increase in power entropy introduced by energy storage decreases gradually, that is, the direction in which the redundancy of energy storage regulation performance decreases gradually. Thus, the concept of power entropy provides a new path for the optimization of energy storage configuration in future power systems and also for the optimization of multiple energy forms in the integrated energy system.

Key words: energy storage technology, optimal configuration, Clausius entropy, power entropy

中图分类号: