计及风光储的冷热电联产综合能源系统低碳经济优化
Optimization of low carbon economy of integrated energy system of CCHP with wind and solar storage
陈洪银 1郭毅 1王松岑 1芋耀贤 1钟鸣 1贾晓强 1刘铠诚 1黄伟1
作者信息
- 1. 电网安全全国重点实验室,北京 100192;中国电力科学研究院有限公司,北京 100192
- 折叠
摘要
为解决能源危机,中国大力发展综合能源系统,以期进行多能协同互济,实现节能降碳.主要研究计及风光储的冷热电联供系统多目标优化调度问题.首先,从经济和碳排放2个不同的角度出发,建立经济目标函数和环境目标函数,构造考虑风光储的冷热电联供系统多目标优化配置模型以及相应的约束条件;然后,提出增强的非支配排序遗传算法Ⅱ(non-domina-ted sorting genetic algorithm Ⅱ,NSGA-Ⅱ),通过引入支配强度和方差因子,提高算法求解效率和求解精度;最后,以辽西某地正在运行的冷热电联供系统为例进行仿真分析,验证本文所提模型和方法的有效性.
Abstract
To confront the energy crisis,China has been making great efforts to develop an integrated energy system in the hope of achieving multi-energy coordination and mutual aids,and achieving energy conservation and carbon reduction.This paper mainly studies the multi-objective optimization scheduling problem of a combined cooling,heating,and power system that takes into account the wind and solar energy storage.First,from two different perspectives of economy and carbon emissions,an economic objective function and an environmental objective function are established,and a multi-objective optimization configuration model and corresponding constraint conditions for the combined cooling,heating,and power system considering wind and solar energy storage are built.Then,an enhanced non-dominated sorting genetic algorithm Ⅱ(NSGA-Ⅱ)is proposed,which improves the efficiency and accuracy of the algorithm by introducing dominance strength and variance factors.Finally,a simulation analysis is conducted on a running cogeneration system in a certain area of western Liaoning Province to verify the effectiveness of the model and method proposed in this paper.
关键词
冷热电联供/多目标优化/可再生能源/进化算法/综合能源系统Key words
combined cooling,heating and power supply/multi-objective optimization/renewable energy/evolutionary algorithm/integrated energy system引用本文复制引用
基金项目
中国电力科学研究院有限公司科技项目(YD80-22-001)
出版年
2024
国家科技期刊平台
NSTL
万方数据