基于碳交易机制的综合能源系统优化
燕飞，范禄禄，戚盼
（内蒙古科技大学信息工程学院，内蒙古 包头 014010）
摘要： 促进发展清洁能源生产绿电，对实现双碳目标有着积极的意义。构建了由燃气轮机、燃气锅炉、吸收式制冷
等组成的综合能源系统，引入碳交易机制，以综合能源成本最低和碳收益率最大为目标函数，建立考虑多重约束的优化
模型。为了提高优化模型的计算速度与精度，提出通过模拟退火算法并结合粒子群算法进行改进的方法，对优化模型进
行求解。计算结果验证了基于模拟退火粒子群算法优化综合能源系统运行的可行性和有效性，对碳交易机制下的清洁能
源综合发展有着积极的促进作用。
关键词： 综合能源系统；双碳目标；碳交易机制；粒子群优化算法
中图分类号： TM715     文献标志码： A     文章编号： 2095-0802-(2022)08-0013-03
Optimization of Integrated Energy System Based on Carbon Trading Mechanism
YAN Fei, FAN Lulu, QI Pan
(School of Information Engineering, Inner Mongolia University of Science & Technology, Baotou 014010, Inner Mongolia, China)
Abstract: Promoting the development of clean energy to produce green electricity is of positive significance to the realization of
dual carbon goals. In this paper, a comprehensive energy system consisting of gas turbine, gas boiler and absorption refrigeration
was constructed, and a carbon trading mechanism was introduced. With the objective function of the lowest comprehensive energy
cost and the highest carbon yield, an optimization model considering multiple constraints was established. In order to improve the
calculation speed and accuracy of the optimization model, an improved method based on simulated annealing algorithm and
particle swarm optimization algorithm was proposed to solve the optimization model. The calculation results verify the feasibility
and effectiveness of optimizing the operation of the integrated energy system based on simulated annealing and particle swarm
optimization algorithm, and play a positive role in promoting the comprehensive development of clean energy under the carbon
trading mechanism.

Key words: integrated energy system; dual carbon goals; carbon trading mechanism; particle swarm optimization algorithm