计及㶲分析的矿山综合能源系统多目标运行方法

doi:doi:10.19912/j.0254-0096.tynxb.2024-0722

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计及㶲分析的矿山综合能源系统多目标运行方法

更新时间：2025-10-22

- 计及㶲分析的矿山综合能源系统多目标运行方法
- Vol. 46, Issue 9, Pages: 650-660(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-0722
  CLC： TM732
- Published Online：14 October 2025，
  
  Published：2025
- 稿件说明：
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[J]. 2025, 46(9): 650-660.
DOI：

[J]. 2025, 46(9): 650-660. DOI： doi:10.19912/j.0254-0096.tynxb.2024-0722.

摘要

首先构建矿山综合能源系统（MIES）基本架构

其中包括涌水、乏风、瓦斯等衍生能源利用设备的基础模型;其次

对系统供给侧和需求侧的能源进行物质流-流耦合的分析

使用能质系数来量化MIES中包括衍生能源在内的各品类能源的品质差异

实现系统能量的高品质、梯级利用;然后构建了以效率和经济性为目标函数

考虑设备特性、能量平衡等约束条件的多目标优化运行模型

并采用NSGA-Ⅱ算法对该模型进行求解。最后

选取山西太原某矿区案例对所提方法进行验证

证明了所提优化模型的有效性。

Abstract

This article first constructs the basic framework of mine integrated energy system（MIES）

which includes foundational models for utilizing mine-derived energy resources such as mine water

exhaust air

and methane. Subsequently

an exergy analysis coupling material flows with exergy flows is conducted for both the supply and demand sides of the system. Energy quality coefficients are utilized to quantify the quality differences among various types of energy

including mine-derived energies within MIES

achieving high-quality and cascading utilization of system energy. Then

a multi-objective optimization operation model is constructed with objectives of exergy efficiency and economic feasibility

considering constraints related to equipment characteristics and energy balance. The NSGA-Ⅱ algorithm is used to solve the model. Finally

a case study from a mining area in Taiyuan

Shanxi

is selected to validate the proposed method

proving the effectiveness of the optimization model.

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references

黄晓芳. 绿色矿山建设全面推进[N]. 经济日报, 2024-04-19(6).

陈小龙, 狄乾斌, 梁晨露, 等. “双碳”目标下减污降碳与经济高质量发展的协同机理与实证探讨——以中国沿海城市群为例[J]. 世界地理研究, 2025, 34(6): 149-163.

王龙飞, 王帅, 李庆, 等. “双碳” 目标下西部地区煤矿多能互补供能研究[J]. 中国煤炭, 2023, 49(10): 36-42.

欧凯, 魏宇飞, 张宁, 等. “双碳” 目标下绿色矿山的发展研究[J]. 煤炭经济研究, 2023, 43(6): 87-93.

黄震, 谢晓敏, 张庭婷. “双碳” 背景下我国中长期能源需求预测与转型路径研究[J]. 中国工程科学, 2022, 24(6): 8-18.

王龙飞, 王帅, 李庆, 等. 西部地区矿井多能互补热电协同供能系统配置优化研究[J]. 煤炭学报, 2025, 50(5): 2739-2751.

WANG Y L, MA Y Z, SONG F H, et al.Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response[J]. Energy, 2020, 205: 118022.

YAO F, MENG K, XU Z, et al.Differential evolution algorithm for multi-objective economic load dispatch considering minimum emission costs[C]//2011 IEEE Power and Energy Society General Meeting. Detroit, MI, USA, 2011: 1-5.

张晓花, 赵晋泉, 陈星莺. 节能减排多目标机组组合问题的模糊建模及优化[J]. 中国电机工程学报, 2010, 30(22): 71-76.

WU T, BU S Q, WEI X, et al.Multitasking multi-objective operation optimization of integrated energy system considering biogas-solar-wind renewables[J]. Energy conversion and management, 2021, 229: 113736.

LI L L, MIAO Y, LIM M K, et al.Integrated energy system for low-carbon economic operation optimization: Pareto compromise programming and master-slave game[J]. Renewable energy, 2024, 222: 119946.

ZENG Y, ZHAO H C, LIU C P, et al.Multi objective optimization of microgrid based on improved multi-objective particle swarm optimization[C]//2022 International Seminar on Computer Science and Engineering Technology (SCSET). Indianapolis, IN, USA, 2022: 80-83.

HUANG H X, LI Z M, BENG GOOI H, et al.Distributionally robust energy-transportation coordination in coal mine integrated energy systems[J]. Applied energy, 2023, 333: 120577.

HU H J, SUN X Y, ZENG B, et al.Enhanced evolutionary multi-objective optimization-based dispatch of coal mine integrated energy system with flexible load[J]. Applied energy, 2022, 307: 118130.

WANG Y, HU H J, SUN X Y, et al.Unified operation optimization model of integrated coal mine energy systems and its solutions based on autonomous intelligence[J]. Applied energy, 2022, 328: 120106.

MU Y F, YAO T A, JIA H J, et al.Optimal scheduling method for belt conveyor system in coal mine considering silo virtual energy storage[J]. Applied energy, 2020, 275: 115368.

BJÖRK F, KILKIS S, MOLINARI M. Energy quality management and low energy architecture[C]//ASES National Solar Conference. North Carolina, USA, 2011.

TAHIR M F, CHEN H Y, HAN G Z.Exergy hub based modelling and performance evaluation of integrated energy system[J]. Journal of energy storage, 2021, 41: 102912.

DI SOMMA M, YAN B, BIANCO N, et al.Operation optimization of a distributed energy system considering energy costs and exergy efficiency[J]. Energy conversion and management, 2015, 103: 739-751.

HU Z B, HE D F, ZHAO H B.Multi-objective optimization of energy distribution in steel enterprises considering both exergy efficiency and energy cost[J]. Energy, 2023, 263: 125623.

YANG W J, HUANG Y P, ZHANG T R, et al.Mechanism and analytical methods for carbon emission-exergy flow distribution in heat-electricity integrated energy system[J]. Applied energy, 2023, 352: 121980.

ZHANG Y, WU X K, HU H J, et al.Modeling and operation optimization of mine integrated energy system under variable conditions of typical equipment[J]. Energy science & engineering, 2022, 10(12): 4411-4430.

贺悝, 郭罗权, 谭庄熙, 等. 考虑调频阶段需求的混合储能一次调频综合控制策略[J]. 太阳能学报, 2024, 45(9): 697-708.

胡枭, 尚策, 陈东文, 等. 考虑能量品质的区域综合能源系统多目标规划方法[J]. 电力系统自动化, 2019, 43(19): 22-31, 139.

曹阳, 温彩凤, 刘珍, 等. 基于RSM和NSGA-Ⅱ法的风电系统经济优化研究[J]. 太阳能学报, 2022, 43(1): 161-168.

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