Micro-Grid Intelligent Monitoring Framework And Adaptive Service Approch

Fossil energy is still the world’s dominant energy, faced with the increasing depletion of fossil fuels and the rapid development of social contradiction between the growing demand for energy, causing concern for the sustainable development of the world’s energy problems. Solar, wind and other renewable energy in the form of distributed generation is widely used. However, large-scale distributed generation access is not conducive to the stable operation of the power system. The distributed generation, energy storage devices, load combined together to form a microgrid is an effective way to solve the distributed generation connected to the grid.Devices of the microgrid systems frequently entry and exit, leading to a dynamic variability of the network structure, numerous heavy configuration tasks were generated, the response speed of the network has been greatly affected, will not meet the requirements of real-time micro-grid control systems. Compared to the conventional grid, the microgrid systems usually exhibit more dynamic characteristics of mixed continuous and discrete dynamic event-driven interactions, and stability control of micro-grid would be more complex. This paper conducted in-depth study of these issues; the main contents are as follows:(l)The advantages of microgrid network structure were describled by using service-oriented architecture (SOA), a novel microgrid network structure based on device profile for web service (DPWS) was put forward to build a physical frame model for a smart microgrid. The model implements information resources sharing between different microgrid devices, solves heterogeneous problems of communication protocols of different operating systems, thus realizes that the application services could be transplanted and improves the adaptive ability of microgrid.(2) Aiming at the problems of poor cooperation abilities, feeble dynamic configuration supports of feeder structure based micro-grid, a novel micro-grid monitoring system based on DPWS was put forward. According to the plug and play mechanism of DPWS, the self-discovering/networking for the target device was realized to improve the adaptive performance of micro-grid system. By the DPWS event subscribing method, the device dynamical monitoring was reached to guarantee the safe and stable system running. Using the encryption mechanism of DPWS, the communication robustness will be improved. The proposed scheme introduces in detail the functions of the parts of the intelligent micro-grid system, and the corresponding experiments have been finished to check the effectiveness of the system.(3) Current microgrid systems are with the problems of hard to cope with the issues of coexistence caused by the continuous dynamic systems (CDS) and discrete event dynamic systems (DEDS). a novel microgrid monitoring scheme based on DPWS and interpreted Petri nets (IPN) was put forward to analyze the multiple states and the transform relations between them during the running process of the microgrid. The numerical experiments of the model were accomplished. The results show that the model can describe the concurrency and hybrid phenomena of microgrid. The proposed control strategies meet the requirements of the microgrid operations, and provide the technical references to guarantee the safe and stable system running.(4) Analysis of the causes of the islanding mode of microgrid resource scheduling deadlocks occur, draw four necessary conditions for deadlock,and multiple constraint conditions for the existence of microgrid resource scheduling in this paper. In island mode of microgrid resource constrained problems, formulate the multiple target microgrid resource scheduling, established a constraints based on precedence relations and colored resource-oriented Petri nets (CROPN) of micro grid resource scheduling model. The model provides a model support for the realization of microgrid resource scheduling optimization algorithm.(5) For resource constrained situation of microgrid resource scheduling problem, established the mathematical model of ant colony algorithm. Put forward to guarantee the important load operation of microgrid system, the lowest cost and renewable resource utilization for the purpose of the microgrid system resources multi-objective scheduling strategy, and optimized by ant colony algorithm. The algorithm simulation results prove that the model is feasible and effective.