چكيده به لاتين
Abstract:
By growing of electrical energy consumption in recent years, generation cost, emission, reliability, and quality of electrical energy generation have become more important. MicroGrid are structures that could improve all four aforementioned criteria in electrical energy consumption. Despite of economic, environmental, and welfare benefits of microgrid structures for power system, they have considerable investment cost for installation of distribution generation and other types of distributed energy resources such as energy storages.
Consequently, the high amount of investment cost is not justifiable with inappropriate scheduling of these distributed energy resources. Therefore it is necessary to provide an optimal scheduling program for such microgrids in order to achieve an optimal operational plan in a way that satisfy all objective functions. The application of various types of distribution generation technologies like Proton Exchange Membrane Fuel Cell (PEMFC), Combined Heat and Power systems (CHP) not only can be useful in achieving optimal operation solution but also reducing multi-energy system interdependency.
In this thesis we intend to consider optimal energy management scheme of a multi-carrier micro-grid in presence of demand response programs and also in different operation modes in terms of connected and island modes. Moreover, various types of distributed generation including CHP, PEMFC, gas-fired boiler, and Power Only units (POs (are considered. The thermal and electrical energy storages are used. The operation cost and emission are two objective functions in this study that firstly each of them is chosen as objective function and finally multi-objective programming is presented by Epsilon-Constraint method. The uncertainty of four input parameters, namely wind speed, sun radiation, day-ahead market price, and electrical demand are investigated. The final model is MINLP that has been implemented in GAMS software. The proposed method has been evaluated in five case studies as follows:
• The day-ahead operational scheduling of a connected micro-grid with operational cost objective function
•The day-ahead operational scheduling of a connected micro-grid with emission objective function
•The multi-objective day-ahead operational scheduling of a connected micro-grid with operational cost and emission objective functions
•The day-ahead operational scheduling of a connected micro-grid with operational cost objective function in presence of demand response programs (micro-grid operator perspective)
•The day-ahead operational scheduling of a connected micro-grid with operational cost objective function in presence of demand response programs (micro-grid consumer perspective)
