ABSTRACT This study presents a distributed control system for a multiagent co‐simulation environment, designed to regulate a direct current (DC) bus voltage in a grid‐connected microgrid (MG). The system adopts a client/server architecture, enabling seamless communication in a network of interconnected components integrated into a MG while implementing adaptive update‐rate communication to optimise data exchange efficiency. A multiagent system (MAS) orchestrates interactions between power converters, ensuring seamless operation of a DC microgrid powered by photovoltaic (PV) arrays, a battery storage system and an inverter/rectifier converter connected to the main grid. The framework integrates Python, TCP/IP sockets and industry‐standard simulators (PLECS, PSIM and RTDS) to create a co‐simulation environment. Key results demonstrate effective DC bus voltage regulation and battery voltage control (used as a proxy for SoC), ensuring system stability under varying operating conditions. The proposed approach enhances system responsiveness through adaptive update rate communication, which dynamically adjusts data transmission among agents and the MAS based on real‐time network conditions. This improvement is evidenced by a reduction of approximately in the average settling time of the secondary control layer, from to , when the communication medium delay varies during system operation under the adaptive update rate, compared with the fixed update rate scenario. These results highlight the superior dynamic performance of the hierarchical control strategy at the supervisory level.
Fernandes et al. (Thu,) studied this question.
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