摘要
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。
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 simplify the complicated model,and may lead to the infeasibility of dispatch strategy.Thus,this paper develops the optimization model of the electric-gas integrated energy system,considering detailed AC power flow model and steady-state gas network model to form the model of electric-gas integrated energy system,and adopts particle swarm optimization(PSO)algorithm to solve optimization problem.In order to consider the complicated constraints of coupled system,a method for calculating the energy flow of the electric-gas integrated energy system is embedded into the PSO algorithm,and the output of non-slack units and gas production of non-slack wells are obtained according to the position of particles,and the running state of the system is obtained by the energy flow calculation based on the cycle iteration,and then,the upper and lower constraint is introduced to the objective function as a penalty item with a big enough coefficient.In the simulation verification,the test system integrated by 13-bus power network and the 7-node gas network is adopted to verify the effectiveness of the proposed optimization method.
作者
董文杰
李俊格
田志强
孙英英
曾顺奇
艾芊
Dong Wenjie;Li Junge;Tian Zhiqiang;Sun Yingying;Zeng Shunqi;Ai Qian(Dongfang Electronics Co.,Ltd.,Yantai 264000,Shandong,China;Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd.,Guangzhou 510620,China;Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《电测与仪表》
北大核心
2022年第11期26-33,共8页
Electrical Measurement & Instrumentation
基金
国家重点研发计划项目(2016YFB0901300)。
关键词
粒子群算法
电-气综合能源系统
精细模型
罚函数法
particle swarm optimization
electric-gas integrated energy system
detailed model
penalty function method