Investigation of energy regulation performance based on entropy theory

doi:10.19799/j.cnki.2095-4239.2023.0940

Abstract

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

CLC Number:

TM 911

Zhenxin SUN, Zhiming ZHANG, Fubo MA, Congjin JIANG, Haoyi DU, Huanjun CHEN, Yukui ZHANG. Investigation of energy regulation performance based on entropy theory[J]. Energy Storage Science and Technology, 2024, 13(5): 1584-1591.

Figures/Tables 7

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