Decentralized Emergency Control of AC Power Grid Modes with Distributed Generation

Alexander Fishov, Anatoly Osintsev, Anvari Ghulomzoda, Andrey Marchenko, Sergey Kokin, Murodbek Safaraliev, Stepan Dmitriev and Inga Zicmane ()
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Alexander Fishov: Department of Automated Electric Power Systems, Novosibirsk State Technical University, Novosibirsk 630073, Russia
Anatoly Osintsev: Department of Power Plants, Novosibirsk State Technical University, Novosibirsk 630073, Russia
Anvari Ghulomzoda: Department of Automated Electric Power Systems, Novosibirsk State Technical University, Novosibirsk 630073, Russia
Andrey Marchenko: Department of Automated Electric Power Systems, Novosibirsk State Technical University, Novosibirsk 630073, Russia
Sergey Kokin: Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg 620002, Russia
Murodbek Safaraliev: Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg 620002, Russia
Stepan Dmitriev: Department of Automated Electrical Systems, Ural Federal University, Yekaterinburg 620002, Russia
Inga Zicmane: Faculty of Electrical and Environmental Engineering, Riga Technical University, 1048 Riga, Latvia

Energies, 2023, vol. 16, issue 15, 1-22

Abstract: Large-scale development of small-scale generation, and facilities based on this, with their integration into existing distribution networks, qualitatively change the modes and tasks of network management and transform previously passive electric networks into active ones. Features of parameters and modes of small-scale generation, insufficient observability and manageability in centralized management determine the need to use a decentralized multi-agent control of the modes of such networks. First of all, this applies to emergency management, which includes automatic restoration of the integrity and normal operation of the network. This paper presents a set of specialized methods for emergency management of active power grid modes and the results of a study of their effectiveness on mathematical and physical models that confirm the feasibility of using decentralized emergency management and network recovery management. In particular, this includes: a method of emergency proactively balanced separation of grid energy districts along one of the a priori fixed network cross-sections in the event of disturbances with the transition to island mode, and a method for two-stage restoration of the integrity and normal network mode with decentralized synchronization of active parts on remote network switches. In the case of the decentralized remote synchronization of active parts, it is proposed to use special control of the excitation and speed of generators to create conditions for the successful operation of automatic reclosing devices with synchronization detection. It is essential for emergency management in active networks with small generation to reject the concept of ensuring the reliability of power supply through maintaining the integrity of the network in favor of the concept of an emergency-balanced breakdown of the network into balanced areas with the subsequent automatic restoration of integrity. To conduct research on the physical model, a prototype of distributed system emergency automation has been developed that does not use data transmission tools, which ensures its high cybersecurity and the feasibility of decentralized management.

Keywords: active electric distribution network; emergency management; multi-agent system of decentralized management; restoration of normal operation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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