Research on multi-objective optimal allocation of park integrated energy system based on improved genetic algorithm

朱俊铭; 柏晶晶

doi:10.3969/j.issn.1009-1831.2024.03.012

您当前的位置：

首页 >

文章列表页 >

Research on multi-objective optimal allocation of park integrated energy system based on improved genetic algorithm

更新时间：2026-03-05

- Research on multi-objective optimal allocation of park integrated energy system based on improved genetic algorithm
- Vol. 26, Issue 3, (2024)
- 作者机构：
  
  国网江苏省电力有限公司盐城供电分公司,江苏,盐城,224000
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2024.03.012
  CLC：
- Published：2024
- 稿件说明：
移动端阅览
朱俊铭, 柏晶晶. Research on multi-objective optimal allocation of park integrated energy system based on improved genetic algorithm[J]. 2024, 26(3).
DOI：

朱俊铭, 柏晶晶. Research on multi-objective optimal allocation of park integrated energy system based on improved genetic algorithm[J]. 2024, 26(3). DOI： 10.3969/j.issn.1009-1831.2024.03.012.

摘要

通过能源综合化建设来实现终端能源的高效化，成为当前支撑碳中和碳达峰的重要途径之一。针对园区能源系统能效提升、规划配置等问题，提出了园区综合能源系统经济-能效多目标优化规划模型。分析园区综合能源系统的基本结构，以年总成本、综合能效为优化目标，并考虑能源规划投资和能源运行安全的各类约束，建立了园区综合能源系统多目标优化规划模型；然后，基于NSGA-II算法和融合模拟退火算法的特点，融合模拟退火算法的搜索机制改进NSGA-II的求解性能；最后，以我国某园区为例验证模型和算法的有效性。

Abstract

The comprehensive construction of energy to realize the high efficiency of terminal energy has become one of the important ways to support carbon neutralization and carbon peak. Aiming at the problems of energy efficiency improvement

planning and allocation of energy system in the park

a multi-objective optimal allocation model of economy and energy efficiency of comprehensive energy system in the park is put forward. By analyzing the basic structure of the park’s comprehensive energy system

taking the total annual cost and comprehensive energy efficiency as the optimization objectives

and considering various constraints of energy planning investment and energy operation safety

a multi-objective optimal allocation model of comprehensive energy system in the park is established. Then

based on the characteristics of NSGA-II algorithm and fusion simulated annealing algorithm

the search mechanism of fusion simulated annealing algorithm improves the solution performance of NSGA-II. Finally

a park in China is taken as an example to verify the effectiveness of the model and algorithm.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal scheduling of integrated energy system considering heat-electricity-gashydrogen-carbon coupling and the source-load response

Integrated energy system load forecasting based on SEResNet-BiLSTM network

Low-carbon economy optimization scheduling of integrated energy system considering the uncertainty of differentiated demand response

Master-slave game optimization scheduling of integrated energy system considering peak regulation ancillary service

Coordinated and optimized operation of multi-agent integrated energy system with electric vehicle shared energy storage characteristics

Related Author

吕东

冒烨颖

丁敏

宋峥峥

辛锐

赵黎媛

王经书

张鹏飞

Related Institution

国网江苏省电力有限公司苏州供电分公司

国网河北省电力有限公司

河北工业大学人工智能与数据科学学院

电工装备可靠性与智能化国家重点实验室（河北工业大学）

国网河北省电力有限公司信息通信分公司

AI问答

⁰