چكيده به لاتين
In the last decade, the increasing of electricity consumption, and the restructuring of power system, have made it important to focus on components such as cost, reliability and quality of electricity production. Micro-grids structure can improve the mentioned components in supplying electricity by utilizing distributed generation, storage devices and bringing production and consumption points together. Microprocessors based on heat and power co-generation have special advantages due to the simultaneous supply of thermal and electrical demand, high efficiency and low pollution. Although micro-grids have economic, welfare and environmental benefits, they have a high investment cost due to utilization of the scattered production resources (especially renewable). Consequently, optimal operational planning of the micro-grids is necessary. In this thesis, we try to present a short-term (for next day) operational planning of a CHP-based microchip according to its requirements. It has two different types of CHP units, a thermal power plant, a boiler, an electrical energy storage system, and a thermal storage tank. Electrical and thermal interdependence in CHP units is also considered. In addition, the micro-grid is capable of exchanging electricity with the grid in the electricity market. The objective function in this thesis is the total cost of network operating. In the model, predicted price of the electricity market and demand for electric and thermal loads are uncertain parameters. In order to deal with the uncertainties in the problem, a robust optimization method is used. The model is a MINLP type solve by the GAMS software using SBB solver. Finally, the proposed method is simulated and evaluated its results under different microgrid conditions.
Keywords: Short-Term Scheduling, Micro-grid, Robust Optimization, Uncertainty, Robust Budget.
