An intelligent decision making system for provide energy sustainability in renewable energy sources

An Intelligent Energy Management System (IEMS) for maintaining the energy sustainability in Renewable Energy Systems (RES) is introduced in this thesis. A RES consisting of wind and Photovoltaic (PV) solar panels is established and used to test the proposed IEMS. Since the wind and solar sources are not reliable in terms of sustainability and power quality, a management system is required for supplying the load power demand. The power generated by wind and PV solar systems is collected on a common DC bus as a renewable green power pool to be used for supplying power to DC or AC loads. The renewable green DC power bus is operated in a way that there is always a base power available for permanent loads. Then the additional power requirement is supplied from either wind or PV or both depending upon the availability of these power sources. The decision about operating these systems is given by a IEMS with fuzzy logic decision maker proposed in this study. Using the generated and required power information from the wind/PV and load sides, the fuzzy reasoning based IEMS determines the amount of power to be supplied from each or both sources. Besides, the IEMS tracks the maximum power operating point of the wind energy system. The IEMS is also designed to operate the RES as a part of power utility. Therefore the IEMS can also be considered as a smart grid operator in the proposed RES application.