Research Of Oil Field Distribution Network Optimization Based On Multi-objective Genetic Algorithm

With the rapid development of economy and the improvement of people’sliving standard,the demand for energy increases substantially.Pay attention toenergy saving work,the promotion of energy-saving technology,has become animportant means of energy saving.With the increase of oil field exploitationdifficulty,oil pumping power transformation and distribution equipment energyconsumption gradually serious losses.Oil refined management goes deepcontinuously.Variable power distribution equipments realize the importantbreakthrough in its energy,but when connect any energy-saving equipment as arunning system,the electrical performance is not optimal and mostenergy-saving.Therefore,the electrical properties of transformation anddistribution equipment of machine production well should be carried out anoverall evaluation, optimization has become an important measure to reduce theenergy loss and improve the efficiency of the system.The optimization problem is an old problem, the optimization goal is alwaysthe ambition of researchers.Transformation and distribution plant make two goalsof energy saving and economic integration in the optimization of distributionequipment selection,belongs to the discrete and nonlinear multiobjectiveoptimization problems,there exists conflicting phenomenon between the targets.This paper based on the overall point of view of the oil pumping power totransformation and distribution equipment,through the analysis of thecharacteristics of electrical equipment for machine well,establishes themathematical model of electrical equipment.Using multi-objective geneticalgorithm as the main research contents,the non-dominated sorting genetic algorithm is applied to solve the multi-objective optimization problem and is usedto optimize the system of oil field,and introduces the history origin, progress,thebasic principle of the multi-objective genetic algorithm and the improvementmeasures etc.The concrete measures for the algorithm: according to characteristicsof the discrete variable optimization,integer code is adopted,using a geneticcharacterization of a class of device effectively solves the problem of redundantgenes problems in the process of evolution,eliminating cumbersome encodingand decoding process increase practicality.Using euclidean distance calculation inspace to improve the crowding distance calculation, improving the efficiencyof search on the terminal and optimized condition of the maximum geneticalgebra and optimization of best individual preservation strategy combining, makethe optimized and terminal criterion is more scientific and reasonable.Finally,through the application of Visual Basic programming language tocomplete the optimization research and develop the system of oilfield,write outthe practical software optimized selection of the general multi-objectiveoptimization procedure which is based on the improved and elitist strategy innon-dominated sorting genetic algorithm (NSGA-II) is applied to theoptimization of the transformation and distribution plant equipment.The researchin this paper for the oil field system optimization has important theoreticalsignificance and application value,providing technical support for oilfieldequipment in the selection of application.