Renewable energy generation and electric vehicles (EVs) have attracted much attention in\nthe past decade due to increasingly serious environmental problems as well as less and less fossil\nenergy reserves. Moreover, the forms of energy utilization are changing with the development of\ninformation technology and energy technology. The term ââ?¬Å?energy hubââ?¬Â has been introduced to\nrepresent an entity with the capability of energy production, conversion and storage. A residential\nquarter energy-hub-optimization model including a concentrating solar power (CSP) unit is proposed\nin this work, with solar energy and electricity as its inputs to supply thermal and electrical demands,\nand the operating objective is to minimize the involved operation costs. The optimization model\nis a mixed integer linear programming (MILP) problem. Demand side management (DSM) is next\nimplemented by modeling shiftable electrical loads such as EVs and washers, as well as flexible\nthermal loads such as hot water. Finally, the developed optimization model is solved with the\ncommercial CPLEX solver based on the YALMIP/MATLAB toolbox, and sample examples are\nprovided for demonstrating the features of the proposed method.
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