考虑精细模型的电-气综合能源系统优化运行方法

随着电力系统与天然气系统耦合程度的不断加深,电-气综合能源系统的优化运行成为当下研究热点。然而,电力与天然气系统的非凸非线性为模型的优化求解带来了巨大挑战,诸多研究工作对模型做了简化处理可能导致调度策略不可行。为此,文中构建了电-气综合能源系统优化模型,采用较为精细的电网交流潮流模型和气网稳态模型构成电-气综合能源系统模型,并采用粒子群(Particle Swarm Optimization,PSO)算法进行求解。为考虑复杂的耦合系统约束,文中将基于分别循环迭代的电-气综合能源系统能量流计算方法嵌入粒子群算法中,根据粒子位置得到非平衡机组出力、非平衡气井产气量,通过能量流计算得到系统的运行状态,进而将上下限约束作为罚项添加到粒子的评价函数中,并赋以较高的权重。在仿真验证中,文中将13节点电力网络与7节点天然气网络耦合作为测试系统,验证了优化方法的有效性。

Optimal Operation Method of Integrated Electric-Gas System Considering Complicated Network Constraints

With the increasing interdependence between the power system and the natural gas system, the optimization operation of the electric-gas integrated energy system has become a current research hotspot. However, the non-convexity and nonlinearity of power and gas system bring huge challenge for the optimization solution, many research works ignore the complicated network constraints. Thus, this paper develops the optimization model of the electric-gas system, considering complicate AC power flow constraints and steady state gas flow constraints, and adopted particle swarm optimization (PSO) algorithm. In order to consider the complicated constraints of power and gas networks, the output of non-slack units and gas production of non-slack wells are obtained according to the position of particles, and the distribution of energy flow is obtained by the energy flow calculation method of the electric-gas integrated energy system based on the cycle iteration. Based on the distribution of energy flow, the network constraints is introduced to the objective function as a penalty item with a big enough coefficient. In the simulation analysis, the test system integrated by 13-bus power network and the 7-node gas network is adopted to verify the effectiveness of the method.