Analysis of multi-scenario power supply and demand balance in Shandong power grid based on the new generation PSDB platform

Cheng, Peifen; Shen, Yang; Wang, Nan; Tian, Xin; Zhao, L.; Wang, Yuan; An, Peng; Mu, Ying

doi:10.1109/acpee53904.2022.9783843

Cited by 1 publication

(1 citation statement)

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“…With this basic foundation in mind, this paper shifts to a comprehensive literature review of existing methodologies and approaches to assess the supply regulation capability of such types of power systems. This part is characterized by a critical examination of the methodologies currently embedded in traditional power systems, which are purported to be applicable to new energy type of systems [5]. The examination reveals several deficiencies and shortcomings in applying contemporary methodologies to new power systems.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Quantitative Assessment Techniques for Supply-Regulation Capability in Multi-Scenario New-Type Power Systems

Liu,

Wang,

Xin

et al. 2024

EAI Endorsed Trans Energy Web

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This paper offers an in-depth investigation into various quantitative assessment methods used to quantify the supply regulation capacity in new types of power systems under different conditions. As new forms of energy, including renewables, are increasingly becoming the predominant sources of power systems, the traditional systems are undergoing transformative modifications to efficiently address the issue of power generation and consumption fluctuations. In this regard, this paper proposes an original framework that combines advanced statistical methods and machine learning. The primary purpose of the framework is to identify the level of resilience and flexible adaptability of new power systems. The paper presents the results of the simulations and real-world applications of the proposed measurement methods in enhancing power supply reliability and efficiency in all conditions. The implications based on the results will be beneficial to policymakers and other specialists who are making decisions involving designing and optimizing modern power systems. Furthermore, the paper aims to contribute to the existing discussion by providing further insights into the effectiveness of the proposed methods of measurement.

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Section: Introductionmentioning

confidence: 99%