Monitoring method of micro-grid based on DPWS network middleware and Petri nets

Abstract: Current micro-grid systems have problems of poor cooperation abilities and feeble dynamic configuration supports for network structure, and don't cope well with the issues of coexistence caused by the continuous dynamic systems (CDS) and discrete event dynamic systems (DEDS). In order to resolve the matter, a novel micro-grid monitoring network architecture based on the device profile for web service (DPWS) and interpreted Petri nets (IPN) was put forward to analyze the multiple states and the transform relations of different distributed micro sources during the running process of the micro-grid system. Referring to the function requirements and working characteristics of a micro-grid monitoring network system, an intelligent network architecture model for the mixed actions of distributed micro sources was set up. Based on the above model, according to the self-discovering/networking mechanism of DPWS for the target device, the dynamical configuration and automatic discovery for micro-grid system would be realized to improve the adaptive performance and intelligent level of micro-grid system. By the DPWS event subscribing interfaces and dynamical service methods, the distributed real-time monitoring was reached for the distributed micro sources in the micro-grid system. Based on the above research, the DPWS customized encryption mechanism and data transmission methods were combined to address the information security and working stability issues of the micro-grid system, and the simulated models for the monitoring system of the micro-grid were built up by using the IPN. Therefore, the automatic and intelligent level of the device terminal of the micro system were improved, and the running stableness and safety performance were enhanced. Based on the proposed methods, the corresponding numerical experiments were accomplished, and the results showed that the model could describe the concurrency and hybrid phenomena of a micro-grid system. The proposed control strategies can provide adequate self-adapting monitoring services (automatic networking, dynamical configuration, automatic delete, inter-help service, intelligent linking, on-line remote access, large quantity stream data transmission, and automatic data storage) for the micro-grid system, meet the requirements of the micro-grid operations, and provide the technical references to guarantee safe and stable system running. As indicated in the paper, the modeling and analysis for the micro-grid system had high technical difficulties, and the paper performed the corresponding attempts for the area. The research results of the paper provides theoretical references and technical supports for the researcher and engineering in the regions of intelligent network, smart grid, condition based monitoring, and real-time data transmission. Further studies should be carried out on the facets of architecture model optimization, real-time data transmission protocols, IPN model improvement, and industrial field experiments.