基于利润最大化目标与深度调峰约束的热电厂热负荷分配优化方法  

Optimization Method for Thermal Load Distribution in Thermal Power Plants Based on Profit Maximization Objective and Deep Peak Shaving Constraint

作　　者：马连波 唐俊钰 王悦 MA Lianbo;TANG Junyu;WANG Yue

机构地区：[1]国家电投内蒙古能源有限公司,内蒙古通辽028011

出　　处：《今日自动化》2023年第7期9-11,共3页Automation Today

摘　　要：为在热电厂热负荷分配优化过程中提高利润率,减少弃风电量,提出一种新的基于利润最大化目标与深度调峰约束的热电厂热负荷分配优化方法。通过实例证明,新的优化方法应用下,热电厂可同时满足利益最大化和弃风电量最低,充分满足热电厂利润最大化的优化目标,保障热电厂的利益,促进热电厂的可持续发展。In order to improve profit margin and reduce abandoned wind power during the optimization process of thermal load distribution in thermal power plants,a new optimization method for thermal load distribution in thermal power plants is proposed based on profit maximization goals and deep peak shaving constraints.Through practical examples,it has been proven that under the application of the new optimization method,thermal power plants can simultaneously meet the optimization goals of maximizing profits and minimizing wind power waste,fully meeting the profit maximization of thermal power plants,safeguarding their interests,and promoting their sustainable development.

关 键 词：利润最大化 深度调峰 热电厂 热负荷 粒子群算法 

分 类 号：TK269[动力工程及工程热物理—动力机械及工程]