Cost, emission and reserve pondered pre-dispatch of thermal power generating units coordinated with real coded grey wolf optimisation

摘要: The optimisation of unit commitment (UC) problem in the daily operation and planning power system may save electric utilities millions dollars per year production costs. Though many works literature uses evolutionary techniques to solve pre-dispatch thermal generating units, search for optimal generation schedules order minimise total operating cost is still an interesting research task. In viewpoint this, a new population-based bio-inspired algorithm namely grey wolf (GWO) has been implemented scheduling core objectives such as minimisations cost, emission level maximisation reliability are optimised subject various prevailing constraints. Additionally, real coding scheme adopted handle constraints effectively. effectiveness coded GWO (RCGWO) verified on standard 10, 20, 40, 60, 80 100 systems. Further, practical 38-unit utilised show feasibility RCGWO. simulation results that RCGWO very competent solving UC comparison state-of-the-art methods.