Intelligent Energy Management for Hybrid Sysytem Based on Microgrid

A microgrid can be operated in on-grid or off-grid, mode using distributed energy resources (DER), among which combined heat power can play an important role in increasing the total energy efficiency. This paper reports the total solutions to the problem of scheduling DER including CHP and their dispatch, called a generation application package. To increase the accuracy of forecasting, this paper proposes the methods of electrical or heat load forecasting and photovoltaic forecasting using a pattern recognition algorithm by k-means clustering. In response of the forecasted data, the formulation and solution of generation scheduling and dispatch of DER are provided in two operation modes of a microgrid. The formulation and the detailed solution of the economic dispatch of the DER are presented. Finally, field tests of the generation applications package were performed and the results shown of the the proposed solutions are very effective in the real fields. This paper proposes the dynamic optimal schedule management method for an isolated or grid-connected microgrid system with renewable power generations such as PV systems and wind power systems, and with back-up and storage sources such as micro-turbine generators and electricity storage, which is able to consider forecast errors with uncertainties of solar radiation, wind speed and local user demands. The energy management system (EMS) structure for accumulation interms of the economic and stable operation in the microgrid is proposed. Optimization problem for the power from micro-turbine generators or the grid and electricity storage in EMS is resolved by dynamic programming (DP) and equal incremental fuel cost method. The proposed method is confirmed by matlab study that used forecast data and realization data of renewable power generations and local user demands. In conclusion, this paper presented a practicable method for the operation of a microgrid. . Keywords-Distributed energy resources, Economic dispatch, Generation scheduling, Microgrid EMS