For the oilfield microgrid containing photovoltaic power generation,due to the randomness and intermittent characteristics of photovoltaic power generation,light abandonment is serious.In addition,the load of the pumping unit is driven by an asynchronous motor,and the powerfactor is low,resulting in serious power loss in the oilfield microgrid.To this end,a multi-objective optimal scheduling model is established with the goals of the highest economic benefit of the microgrid,the smallest light rejection rate,and the smallest variance of the total output power curve of the well group,and the corresponding membership degree is obtained by normalizing the objective functions of different dimensions through fuzzy theory.The function is processed into a single objective function by the linear weighted summation method,and the weight of the objective function is determined by the improved hierarchy method,and the improved particle swarm optimization-exterior point method is proposed to solve the model.Formulate the optimal scheduling strategy for micro-sources.The effectiveness of the proposed model and algorithm is verified by numerical examples.
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