基于IPSO-EPM的油田微电网多目标优化调度

Multi-objective Optimal Scheduling of Oilfield Microgrid Based on IPSO-EPM

针对含光伏发电的油田微电网,由于光伏发电具有随机性和间歇性的特点,弃光现象严重,加之抽油机负载为异步电动机带动,功率因数低,导致油田微电网电能损耗严重。为此,以微电网总运行成本最少、弃光率最小和井群功率曲线方差最小为目标建立多目标优化模型,通过模糊理论归一化不同量纲的目标函数,采用线性加权求和法和层次分析法确定目标函数权重,提出改进粒子群优化外点算法对模型求解,制定微源的最优调度策略。通过算例仿真计算验证了所提模型和算法的有效性。

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 power factor 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.