Identifying Effective Alternatives to Economic Dispatching with the Particle Swarm Optimization Algorithm Approach in the Oil Industry

Nowadays, oil industries management needs a new approach in the realm of production planning and operations process with a cost management approach. For their survival, organizations and industrial units, by recognizing the impact points of the challenges ahead, take steps towards their goals. Economic dispatching attempts to determine the share of production capacity in a way that optimizes the overall performance of the system economically and improve system performance, including: production and process planning, supply and demand balance, cost management, productivity growth, optimal allocation of resources according to the capacity of tanks, formulation of production and operational strategies, the impact on the strategic vision document. Identifying points of influence and collecting field information from the industrial unit and employing quantitative calculations, mathematical modeling and related formulas in MATLAB environment, this article aims to implement economic dispatching employing particle swarm optimization algorithm and hypothetical information to measure the feasibility of implementation and its impact on the overall performance of the system. Given that economic dispatching has so far been implemented in the field of power plants and a few gas companies and has provided acceptable results, present study developed a new approach in the field of oil industry in Iran. Finding revealed that the industrial unit can lead its costs to a better degree of efficiency in order to implement economic dispatching.