| Hybrid distributed generation systems (HDGSs) can be considered a future aspect of electric grids, and they are currently a rich field of research. There are numerous studies on renewable resources, mainly wind and PV. However, the amount of research on hybrid distributed generation systems (HDGSs) is not as abundant. There are multiple ways to model an HDGS depending on the method of the research, e.g., probabilistic or deterministic. The subsystems of an HDGS can be represented as states using Markov modelling, by simulation using the Monte Carlo technique, by mathematical equations, etc. In the present study, the subsystems of an HDGS will be modelled separately to achieve a highly accurate model for each by including the physical components of every subsystem.;This study proposes a new method of representing a HDGS in that it makes use of multiple techniques and simulations. An effective energy management technique with mathematical equations that govern the power exchange, locally and on the feeder, is also proposed, which gives the running of some energy sources priority over others to minimize the operational cost. Reliability block diagrams (RBDs) will be used to group every subsystem into a minimal number of components to reduce calculation time and complexity. The metrological data of the solar radiation (SR), wind speed (WS), and ambient temperature (TEMP) will be collected and used for forecasting future data. As this study is primarily focused on the operation of the HDGS, the forecast will be an hourly sequential forecast using the auto regressive moving average (ARMA) technique. Secondly, the power output of each distributed generator (DG) will be obtained by using the input-output relation of each subsystem. Monte Carlo simulations will be used to simulate the failures of every subsystem in addition to the equivalent failures seen by the load from the grid. All the subsystems, including the storage, will then be combined into one HDGS. The proposed mathematical equations that govern the energy exchange between the HDGS and the load will subsequently be applied, taking into account the Monte Carlo simulation of all failures and repairs. Thus, the energy supplied to the load at every hour will be obtained as well as the excess or lack of energy at every hour. The three following cases will be studied: one in which the HDGS will supply only the local load beside it, one in which the HDGS will supply the local load and the next load if possible, and one in which the HDGS will supply two loads depending on a provided priority list. Lastly, the reliability of the system will be studied, and additional case studies and analyses will be undertaken. |
