Multi-objective self-scheduling of CHP (combined heat and power)-based microgrids considering demand response programs and ESSs (energy storage systems)

• Published in: Energy (Oxford) 2013-06, Vol.55, p.1044-1054
• Main Authors: Aghaei, Jamshid, Alizadeh, Mohammad-Iman
• Format: Article
• Language: English
• Subjects: Applied sciences; CHP; CHP-based MGs; Demand; Demand response programs; Demand side resources; Electric power grids; Energy; Energy storage; Energy storage systems; Exact sciences and technology; experts; Governments; heat; issues and policy; Mathematical models; Multi-objective optimization; Optimization; power generation; system optimization; Thermoelectricity
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2013.04.048

Today's, policy makers, governments, and academic experts in flourishing societies are interested in employing power systems considering high reliability, quality, and efficiency factors. Moreover, climatic concerns force power system appliers to utilize these systems more environmental friendly. To obtain the mentioned aims, MGs (microgrids) act as key solutions. MGs are invented not only to operate power systems more reliable and efficient but also to penetrate CHP (combined heat and power)-based DG (distributed generation) into power systems with an optimal control on their generation. This paper presents a new optimal operation of a CHP-based MG comprising ESS (energy storage system), three types of thermal power generation units, and DRPs (demand response programs). In this paper, DRPs are treated as virtual generation units along with all of realization constraints. In a multi-objective self-scheduling optimization problem of a MG, the first objective deals with minimizing total operational cost of the CHP-MG in an OPF-based formulation and the second refers to the emission minimization of DGs. The proposed model implements a simple MIP (mixed-integer programming) that can be easily integrated in the MGCC (MG central controller). The effectiveness of the proposed methodology has been investigated on a typical 24-bus MG. •A new optimal operation of a CHP-based microgrid (MG) has been presented.•Energy Storage System has been modeled in the proposed framework.•Demand Response Programs as virtual generation units have been included in the proposed scheme for MG.•In a multi-objective self-scheduling optimization problem, the objective functions include cost and emission minimization.•The proposed model implements a Mixed-Integer Programming that can be integrated in the MG Central Controller.