摘要
目前,世界上大部分电力需求是由传统火力发电机组来供给的。确定发电机组的启停状态及实时出力,即机组组合(UC),可实现最佳发电功率分配以节省大量的燃料投入和费用,因此公用事业公司需要根据负荷需求来更经济地管理其发电策略。对此提出了一种基于数学规划的机组组合-最优潮流算法(UC-ACOPF),可接入光热发电站后的电力系统中。在母线电压、线路功率、变压器抽头位置等约束下,实现了最优机组组合和发电功率的安全调度。在修改后的IEEE-14节点测试系统中进行了算例仿真,无论是否接入光热电站,算法均具备有效性,系统接入光热发电站后,总发电成本得到有效降低。
At present,power demand is mostly supplied by traditional thermal power generators.Determining the start-up and stop status and real-time output of generating units,i.e.,unit commitment(UC),can realize the optimal generation power distribution to save fuel inputs and costs.Therefore,utility companies need to manage their generation strategy more economically according to the load demand.In the paper,a unit commitment-AC optimal power flow(UC-ACOPF)algorithm based on mathematical programming is proposed,it can be applied to the power system connected to photothermal power plants.Under the constraints of the bus voltage,line transmission power and transformer tap position,the optimal UC and safe dispatching of power are realized.The example simulation is carried out in the IEEE-14 test system.The algorithm is effective whether connected to photothermal power plants or not.After the system is connected to photothermal power plants,the total power generation cost is effectively reduced.
作者
孙华利
赵莹
董诗焘
庄怀东
SUN Huali;ZHAO Ying;DONG Shitao;ZHUANG Huaidong(Yunnan Electric Power Dispatch and Control Center,Kunming 650000,China;NR Electric Co.,Ltd.,Nanjing 211102,China)
出处
《微型电脑应用》
2023年第8期130-133,共4页
Microcomputer Applications
关键词
机组组合
数学规划
最优潮流
光热发电站
unit commitment
mathematical programming
optimal power flow
photothermal power plant
