Optimal distribution voltage control through a sub-framework in the reactive power management on the Smart Grid

Dozein, Mehdi Ghazavi; Ansari, Javad; Shahbazi, Hamid Reza; Kalantar, Mohsen

doi:10.1109/sgc.2013.6733786

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…Therefore, the development of the AVC strategy for the ADN in cooperation with the TN has become a research focus. Yuquan et al [15] and Ghazavi Dozein et al [16] proposed two AVC frameworks for the Transmission and Distribution (T&D) system. Those oriented objects do not involve dynamic voltage control devices such as DGs, which waste the massive unique voltage regulation capacity of the ADN with the high permeability of DGs.…”

Section: Literature Researchmentioning

confidence: 99%

Demand response‐based autonomous voltage control for transmission and active distribution networks using modified partially observed Markov decision process model

Gu,

Huang

2023

IET Generation Trans & Dist

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To fully utilize the voltage regulation capacity and interaction characteristics of the Transmission and Distribution (T&D) system, a novel Modified Partially Observed Markov Decision Process (MPOMDP)‐based Reinforcement Learning (RL) scheme for Autonomous Voltage Control is proposed, which incorporates Demand Response (DR) and cooperation with the Transmission Network . The proposed scheme consists of two vital components: an MPOMDP block and a Modified Asynchronous Advantage Actor‐Critic‐based RL block. The MPOMDP block innovatively exploits the confidence interval of the observed state to make a better perception of the precise system state by introducing two new probability vectors. Then the MPOMDP block is fed into the underlying architecture of the RL block for asynchronously capturing features and optimal decision‐making, where the solving framework additionally brings in a public data buffer to realize boundary information sharing. Case studies are conducted on a modified T&D system considering N‐1 contingencies, with a training dataset from a district in Suzhou, China. Simulation results demonstrate that the proposed scheme can achieve significant voltage optimization while ensuring fast convergence speed.

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Section: Literature Researchmentioning

confidence: 99%

Demand response‐based autonomous voltage control for transmission and active distribution networks using modified partially observed Markov decision process model

Gu,

Huang

2023

IET Generation Trans & Dist

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An effective decentralized scheme to monitor and control the reactive power flow: a holonic-based strategy

Dozein

Monsef

Ansari

et al. 2015

Int. Trans. Electr. Energ. Syst.

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To determine an appropriate command in order to solve a problem throughout the power system operation, a comprehensive monitoring system must be in existence. Indeed, the operator must prioritize the monitoring of system at different levels to be capable of making a suitable decision. Like all of emerging problems concerned with the smart grid concept in the future power system, a need for continuous optimal reactive power dispatch (ORPD) forces the operator to monitor and control the gird, systematically. In this paper, a holonicbased framework for monitoring and control of the reactive power flow is presented. The holonic architecture has some interesting features by which objective functions of the ORPD could be optimized through a timely proposed strategy. At first, a holonic model is presented for all reactive power resources of the system. Then, some communication and calculation holon are considered, of which these holons have a transfer function application to monitor a related area according to the territory of their holon. Also, to decrease the number of corrective actions during the ORPD strategy, a priority list is defined for each medium voltage feeder holon. Deliberately, the Lagrangian relaxation algorithm is considered for each holon to optimize the reactive power flow locally. This method also is compatible with the proposed holonic-based reactive power framework. Finally, to assess the efficiency of the proposed framework, the suggested method is compared with previous reactive power control methods in a case study.

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An Overview of Distributed Generation Integration Techniques, Present Trends and Future Scope

Porwal,

Fozdar,

Tiwari

2023

Lecture Notes in Electrical Engineering

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Optimal distribution voltage control through a sub-framework in the reactive power management on the Smart Grid

Cited by 5 publications

References 13 publications

Demand response‐based autonomous voltage control for transmission and active distribution networks using modified partially observed Markov decision process model

Demand response‐based autonomous voltage control for transmission and active distribution networks using modified partially observed Markov decision process model

An effective decentralized scheme to monitor and control the reactive power flow: a holonic-based strategy

An Overview of Distributed Generation Integration Techniques, Present Trends and Future Scope

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