Micro-process coordination enabled by service oriented agent based MicroGrid workflow

This paper proposes a multi-agent system for energy resource scheduling of micro-grid consisting of integrated micro-grids and lumped loads. The agent represents message of micro-grid unit and constitutes an autonomic unit. Organizational micro-process coordination attempts to support the collaboration among different processes, In order to coordinate the processing of different units, we need to efficiently integrate different units´ workflows to provide customized services. By understanding the properties of messages, the agent uses a projection-join closure to capture such message situations. The network is achieved by the evolution of the agent based on the semantic negotiation. We propose a new QS-MO algorithm to solve the above-mentioned problem. Simulation results demonstrated that the proposed method is effective in improving the performance and management of micro-sources.