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20162022
most citedDeep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side

43 citations · 76 across the 18 of their papers we have counts for

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5 papers · 1 filter

math.OC20212 cited

Distributionally Robust Frequency Constrained Scheduling for an Integrated Electricity-Gas System

Lun Yang, Yinliang Xu, Jianguo Zhou +1

Power systems are shifted from conventional bulk generation toward renewable generation. This trend leads to the frequency security problem due to the decline of system inertia. On…

math.OC20201 cited

A Data-Driven Warm Start Approach for Convex Relaxation in Optimal Gas Flow

Haizhou Liu, Lun Yang, Xinwei Shen +3

In this letter, we propose a data-driven warm start approach, empowered by artificial neural networks, to boost the efficiency of convex relaxations in optimal gas flow. Case studi…

math.OC2020

Optimal Planning of Integrated Heat and Electricity Systems: a Tightening McCormick Approach

Lirong Deng, Xuan Zhang, Tianshu Yang +1

In this paper, we propose a convex planning model of integrated heat and electricity systems considering variable mass flow rates. The main challenge comes from the non-convexity o…

math.OC20172 cited

A Distributed Power Routing Method between Regional Markets based on Bellman-Ford Algorithm

Xue Tai, Hongbin Sun, Qinglai Guo +1

With the deregulation of power industry, large power users can buy electricity directly from power producers. For trades between different regional markets, it is necessary to rese…

math.OC2016

Coordinated Multi-area Economic Dispatch via Critical Region Projection

Ye Guo, Lang Tong, Wenchuan Wu +2

A coordinated economic dispatch method for multi-area power systems is proposed. Choosing boundary phase angles as coupling variables, the proposed method exploits the structure of…