Three-layer day-ahead scheduling for active distribution network by considering multiple stakeholders

Zhou, Yulu; Zhang, Jingrui

doi:10.1016/j.energy.2020.118263

Cited by 9 publications

(1 citation statement)

References 38 publications

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“…Followed by the foundation of the RIES concept, countries worldwide have responded positively and vigorously by carrying out extensive research on the RIES (Zhang et al, 2022). Some key issues of the RIES have already been studied from various perspectives in China (Zhang et al, 2020;Zhou and Zhang, 2020;Zhao et al, 2022b;Rezaei et al, 2022;Yang et al, 2022), and many theoretical and practical results have been obtained.…”

Section: Introductionmentioning

confidence: 99%

Two-stage robust optimization of regional integrated energy systems considering uncertainties of distributed energy stations

Zong

Yuan²

2023

Front. Energy Res.

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For a regional integrated energy system (RIES) composed of an energy supply network and distributed energy station, the uncertainty of distributed photovoltaic (PV) output and the fluctuation of various loads pose significant challenges to the stability of system operation and the accuracy of optimal scheduling. In order to enhance the operational reliability of regional integrated energy systems and reduce the impact of photovoltaic and load uncertainties on distributed energy stations, this study proposes robust optimization method of regional integrated energy systems that takes into account the uncertainty of the distributed energy station. First, the regional integrated energy system is divided into an upper electric-gas energy supply network and a lower distributed energy station. The upper model mainly realizes energy transmission, while the lower model is a two-stage robust optimization model of distributed energy stations in the form of min–max–min, which mainly realizes flexible energy supply of different types of energy. Then, the lower two-stage robust optimization model is simplified and solved using a column and constraint generation (CCG) algorithm. After that, an alternating direction method of multipliers (ADMM) is used to solve the upper and lower models of the regional integrated energy system, and the solution scale is reduced while ensuring the correlation between the energy transmission network and the distributed energy stations. Finally, a test example is provided to illustrate the effectiveness and usefulness of the proposed method. It follows from simulation results that the robust optimization method can effectively reduce the instability of the system operation caused by uncertainty factors and improve the system’s anti-interference ability, and in addition, systems with high penetration levels of photovoltaic output will benefit more from robust optimization.

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