Journal of Emerging Trends in Engineering and Applied Sciences: Research Areas

Abstract:
Daily generation scheduling is a critical task in the modern energy management system. The main task of unit commitment (UC) problem involves scheduling the ON /OFF status of units, as well as the real power output of thermal units to meet the forecasted demand over a short-term period, meeting all kinds of system and unit constraints to minimize the overall production cost. Optimum scheduling of units save significant amount of production cost per year. In this paper, an advanced three-stage (ATHS) approach for solving unit commitment problem is presented. In the proposed approach, the first stage is utilized to get the solution in a feasible duration of time by producing a primal scheduling of unit, based on predefined priority. In the second stage, a pseudo-inspired algorithm is applied to the crazy particle swarm optimization (CPSO) for the economic dispatch of operating units. In spite of the acceptable solutions obtained by these two stages, proposed approach may take another stage called improved solution modification process (ISMP) to reach an optimal solution. The simulation results of the proposed algorithm have been compared with the results of various existing methods. The obtained results show the effectiveness of proposed approach

Keywords: priority list, unit commitment, economic dispatch, improved solution modification process, crazy particle swarm optimization

Download full paper