2022International Conference on Mechanisms and Robotics (ICMAR 2022)Requires access

Multi-agent-based microgrid cluster power coordinated autonomous control strategy

Shuang Shi, Yanping Wang, Junguo Zhu, Jianhua Deng

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Abstract

With the emergence of environmental protection, energy crisis and other problems, distributed photovoltaic microgrid has received wide attention from various countries. The traditional distribution grid dispatching system to monitor the microgrid makes most of the distributed power sources out of control, so it is very important to research and innovate the new microgrid operation mode. By interconnecting microgrids with similar geographic areas and related characteristics electrically and communicatively, and interacting with the distribution grid through a unique access point, microgrid clusters are formed, which is a higher level of distributed power structure. For the stability problem of autonomous operation of microgrid clusters, multi-agent microgrid clusters can not only solve the autonomous operation of the grid, but also make the microgrid with higher stability. In this paper, a coordinated autonomous control strategy for microgrid clusters with ring-type multi-agent is proposed. The method uses a ring network structure between agents to control each microgrid. In this approach, Agents communicate with each other and microgrid units are electrically interconnected to form microgrid clusters with stable power output. Finally, the PSCAD platform simulation verifies the stability of autonomous operation of microgrid clusters with multiple Agents.

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What this paper is about

With the emergence of environmental protection, energy crisis and other problems, distributed photovoltaic microgrid has received wide attention from various countries. The traditional distribution grid dispatching system to monitor the microgrid makes most of the distributed power sources out of control, so it is very important to research and innovate the new microgrid operation mode. By interconnecting microgrids with similar geographic areas and related characteristics electrically and communicatively, and interacting with the distribution grid through a unique access point, microgrid clusters are formed, which is a higher level of distributed power structure. For the stability problem of autonomous operation of microgrid clusters, multi-agent microgrid clusters can not only solve the autonomous operation of the grid, but also make the microgrid with higher stability. In this paper, a coordinated autonomous control strategy for microgrid clusters with ring-type multi-agent is proposed. The method uses a ring network structure between agents to control each microgrid. In this approach, Agents communicate with each other and microgrid units are electrically interconnected to form microgrid clusters with stable power output. Finally, the PSCAD platform simulation verifies the stability of autonomous operation of microgrid clusters with multiple Agents.

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Available abstract

With the emergence of environmental protection, energy crisis and other problems, distributed photovoltaic microgrid has received wide attention from various countries. The traditional distribution grid dispatching system to monitor the microgrid makes most of the distributed power sources out of control, so it is very important to research and innovate the new microgrid operation mode. By interconnecting microgrids with similar geographic areas and related characteristics electrically and communicatively, and interacting with the distribution grid through a unique access point, microgrid clusters are formed, which is a higher level of distributed power structure. For the stability problem of autonomous operation of microgrid clusters, multi-agent microgrid clusters can not only solve the autonomous operation of the grid, but also make the microgrid with higher stability. In this paper, a coordinated autonomous control strategy for microgrid clusters with ring-type multi-agent is proposed. The method uses a ring network structure between agents to control each microgrid. In this approach, Agents communicate with each other and microgrid units are electrically interconnected to form microgrid clusters with stable power output. Finally, the PSCAD platform simulation verifies the stability of autonomous operation of microgrid clusters with multiple Agents.

Key concepts: Microgrid, Distributed generation, Grid, Computer science, Power (physics), Distributed computing, Stability (learning theory), Autonomous agent

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