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作 者:范彩兄 徐嘉伟 马润生 周军 石生超 罗仲全 FAN Caixiong;XU Jiawei;MA Runsheng;ZHOU Jun;SHI Shengchao;LUO Zhongquan(Elctric Power Research Institute Of State Grid Qinghai Electric Power Company,Xining 810000,China)
机构地区:[1]国网青海省电力公司电力科学研究院,青海西宁810000
出 处:《电气应用》2022年第8期33-37,共5页Electrotechnical Application
摘 要:热电联产能够提高燃料利用效率,减少污染,对节能减排有重要意义。而热电联产经济调度是非线性、多约束的非凸优化,求解较为困难。提出了一种基于模式搜索算法的热电联产经济调度优化方法。首先分析了热电联产的运行特点,建立了热电联产经济调度模型,目标函数包括纯热力机组、纯火力机组和热电联合机组,考虑多机组约束,并在目标函数中考虑了火力机组的阀点效应。接着对模式搜索算法求解原理进行分析,并进行全局搜索避免陷入局部最优。最后在含有24台机组的系统中进行仿真,与其他算法对比说明了该模型和算法的有效性。Combined heat and power(CHP)generation can improve fuel efficiency and reduce pollution,which is of great significance for energy conservation and emission reduction.The economic dispatching of CHP is a nonconvex optimization with nonlinear and multi-constraint,and it is difficult to solve.This paper proposes a method based on pattern search algorithm for economic dispatch optimization of combined heat and power.Firstly,the operation characteristics of cogeneration are analyzed,and the economic dispatch model of CHP is established.The objective function includes parts of thermal unit,thermal unit and combined heat and power unit,considering multiunit constraints and the valve point effect.Then the principle of the pattern search algorithm is analyzed,and the global search is performed to avoid falling into local optimum.Finally,the simulation is carried out in a system with 24 units,and the effectiveness of the model and algorithm is illustrated by comparison with other algorithms.
分 类 号:TM73[电气工程—电力系统及自动化]
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