计及碳交易和调峰灵活性的多场景热电负荷优化分配  

Optimal Thermoelectric Load Dispatching and Operation Considering Carbon Trading and Peak Shaving

作　　者：王宁玲[1] 刘嘉康 陈宏彬 武青群 郭喜燕[1] 杨志平[1] WANG Ningling;LIU Jiakang;CHEN Hongbin;WU Qingqun;GUO Xiyan;YANG Zhiping(School of Energy Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学能源动力与机械工程学院,北京102206

出　　处：《华北电力大学学报(自然科学版)》2023年第6期76-84,共9页Journal of North China Electric Power University:Natural Science Edition

基　　金：国家重点研发计划项目(2020YFB0606202).

摘　　要：面向提高机组调峰灵活性和降低碳排放需求,建立热电联产机组收益和负荷优化分配模型,得到机组热电负荷分配策略、收益及碳排放分布特性。选取两台350 MW机组4种运行场景,采用进化算法EA,以机组总体收益最大和碳排放最低为目标进行热电负荷优化分配,得到了4种运行场景收益情况以及原因;定义了两台机组热电负荷分配不均数,同时研究了热电负荷分配不均数在4种场景下对机组总收益的影响。为热电联产机组的高效低碳负荷优化分配和灵活运行提供参考。In order to improve the flexibility of unit peak shaving and reduce carbon emissions,we built a optimal distribution model of revenue and load of cogeneration unit,and obtained the distribution strategy,revenue and carbon emission characteristics of cogeneration unit.We selected four operation scenarios of two 350 MW units,used the evolutionary algorithm EA to optimize the thermoelectric load distribution with the goal of maximum overall income and minimum carbon emission of the units,and obtained the income and reasons of the four operation scenarios;We also defined the uneven distribution of thermoelectric load of two units,and investigated the influences of uneven distribution of thermoelectric load on the total income of units under four scenarios.It provides a reference for efficient and low-carbon load optimal distribution and flexible operation of cogeneration units.

关 键 词：碳交易 调峰灵活性 热电联产 多场景负荷分配 优化运行 

分 类 号：TM621[电气工程—电力系统及自动化]