油田配电网具有结构相对固定和有功损耗难以减少的特点.目前,油田生产面临国家"碳达峰、碳中和"的要求,分布式电源的接入可以使油田电网满足绿色环保生产和避免伴生气直接排放的要求.基于此,建立了一种油田配电网接入分布式电源的优化配置数学模型.该数学模型可以同时规划光伏发电装置和井口伴生气发电装置的容量及位置,减少电网损耗和火电供给.构建了基于神经网络能量函数的数学模型,并利用Hopfield神经网络直接求解微分方程,确定了规划方案的最优解.对西北某油田W变10 kV LD#线路接入分布式电源的实际优化结果表明,所提的优化方法和数学模型可在系统供电成本最低的前提下提高油田配电网的清洁能源比例至15.75%,实现油田配电网"清洁替代、绿色低碳、节能环保"的目标要求.
Oilfield distribution network has the characteristics of relatively fixed structure and hard to reduce active power loss.At pres-ent,oilfield production faces the requirements of national"carbon peak and carbon neutralization".The access of distributed power sup-plies can make the oilfield power grid meet the requirements of environmentally friendly production and avoid the direct emission of as-sociated gas.Based on this,a mathematical model for optimal allocation of distributed power supplies connected to oilfield distribution network is established.It can simultaneously plan the capacity and location of photovoltaic power generation devices and wellhead asso-ciated gas power generation devices,so as to reduce power grid loss and thermal power supply.The mathematical model based on neural network energy function is established,and it is solved using Hopfield neural network so as to obtain optimal solution of planning scheme.The actual optimization result of 10 kV LD # line to which distributed power supplies in W substation of an oilfield in northwest China are connected shows that the proposed optimization method and mathematical model can increase the proportion of clean energy in oilfield distribution network to 15.75%under the premise of the lowest power supply cost of the system to achieve the goal of"clean substitution,green low carbon,energy saving and environmental protection"of oilfield distribution network.