Integrated Economic and Emission Dispatch of Hybrid ThermalPhotovoltaic Generation

Abstract

Due to the increasing demand for qualitative electric energy at a competitive price and
reduced environmental deterioration, electric power generation systems should be optimally
dispatched. In this paper, the Integrated Economic and Emission Dispatch (IEED) of hybrid
thermal-photovoltaic power plants using Bat (Chiroptera) Inspired Algorithm (BIA) is
presented. The IEED technique entails determining the optimal scheduling of the electricity
generating units, to meet the system load, at the lowest possible cost and reduced greenhouse
gases emission, subject to network constraints. While thermal power plants are
dispatchable, a photovoltaic (PV) system is non-dispatchable. Hence, the solution of the
proposed IEED comprises of the optimal real power generation of the thermal units and
binary (ON-OFF) states of the PV system. The nonlinearity in the fuel cost function of the
generators, valve-point loading effect of the thermal units, and need for faster convergence
inform the choice of BIA for the proposed IEED. The proposed method is implemented in
MATLAB software, and simulation is performed using IEEE 57-bus systems, with 30 hybrid
thermal-PV generating units test system. From the simulation carried out, the proposed
method has calculated the optimal solutions, reduced 31.23% and 27.09% of the fuel and
emission costs respectively, without violating any system constraints.