Indicator-based multi-objective chemical reaction optimization for combined heat and power optimum power flow with thermodynamic model

Abstract

Chemical reaction optimization is a recently developed heuristic optimization technique. This research aims to utilize Indicator-Based Chemical Reaction Optimization (IBCRO) to solve multi-objective combined heat & power (CHP) optimization, which considers cost, steam production and power system loss. CHP system will be modeled using thermodynamic equations of gas turbine and Heat Recovery Steam Generators (HRSG). The performance will be compared with other algorithms: goal attainment, NSGA II, MOPSO and PESA. The result shows that IB-CRO can compete with other popular algorithms, proven by high average satisfactory degree values and coverage metrics.