太阳能与沼气耦合综合能源系统容量与运行联合优化

李金生; 刘超; 彭煜焜; 高光; 张雪莉; 闫晓强

doi:10.19912/j.0254-0096.tynxb.2025-0642

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太阳能与沼气耦合综合能源系统容量与运行联合优化

更新时间：2026-07-22

- 太阳能与沼气耦合综合能源系统容量与运行联合优化
- Vol. 47, Issue 6, Pages: 192-199(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19912/j.0254-0096.tynxb.2025-0642
  CLC： TM73
- Online First：08 July 2026，
  
  Published：2026
- 稿件说明：
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李金生, 刘超, 彭煜焜, et al. 太阳能与沼气耦合综合能源系统容量与运行联合优化[J]. 2026, 47(6): 192-199.
DOI：

李金生, 刘超, 彭煜焜, et al. 太阳能与沼气耦合综合能源系统容量与运行联合优化[J]. 2026, 47(6): 192-199. DOI： 10.19912/j.0254-0096.tynxb.2025-0642.

摘要

设计一种太阳能与沼气耦合综合能源系统

并提出容量与运行联合优化方法。首先

引入沼气生产的热力学模型

构建容量-运行双层优化模型。上层优化沼气池大小以及能量转换和储能设备的容量

从而最大限度地降低年总成本;下层以上层结果为约束

优化能量转换和储能设备的运行方案

使运行成本最小化。其次

通过将非线性规划法集成到遗传算法中

求解模型以确定系统的最优容量配置和运行方案。最后

通过5个仿真场景验证所提系统及联合优化方法的有效性。结果表明

采用该方法优化的太阳能与沼气耦合综合能源系统具有最佳的经济性能

且用能方案高效合理。

Abstract

An integrated energy system coupled with solar energy and biogas is designed in this study

and a joint optimization method of capacity and operation is proposed. Firstly

a thermodynamic model of biogas production is introduced

and a capacity-operation two-layer optimization model is constructed. The upper layer optimizes the size of the biogas digester and the capacity of energy conversion and energy storage equipment to minimize the annual total cost. The lower layer takes the upper-layer results as constraints to optimize the operation plan of energy conversion and energy storage equipment

minimizing the operation cost. Secondly

by integrating the nonlinear programming method into the genetic algorithm

the model is solved to determine the optimal capacity configuration and operation scheme of the system. Finally

five simulation scenarios are used to verify the effectiveness of the proposed system and the joint optimization method. The results show that the integrated energy system optimized by the proposed method has the best economic performance

and the energy consumption scheme is efficient and reasonable.

关键词

Keywords

references

胡福年, 周小博, 张彭成, 等. 计及碳捕集的综合能源系统低碳经济优化调度[J]. 太阳能学报, 2024, 45(3): 419-427.

ALISHAVANDI A M, MOGHADDAS-TAFRESHI S M. Optimal sizing of a multi-energy system using a multi-agent decentralized operation model considering private-ownership[J]. Sustainable energy technologies and assessments, 2022, 49: 101699.

杨雨莹, 任晓芬, 张景, 等. 基于改进AHP-TOPSIS的村镇太阳能+生物质能联合供暖综合评价[J]. 太阳能学报, 2024, 45(2): 342-350.

SEVINCHAN E, DINCER I, LANG H X.Energy and exergy analyses of a biogas driven multigenerational system[J]. Energy, 2019, 166: 715-723.

KHISHTANDAR S.Simulation based evolutionary algorithms for fuzzy chance-constrained biogas supply chain design[J]. Applied energy, 2019, 236: 183-195.

SU B S, HAN W, ZHANG X S, et al.Assessment of a combined cooling, heating and power system by synthetic use of biogas and solar energy[J]. Applied energy, 2018, 229: 922-935.

SU B S, HAN W, JIN H G.Proposal and assessment of a novel integrated CCHP system with biogas steam reforming using solar energy[J]. Applied energy, 2017, 206: 1-11.

黄文龙, 葛文超, 任洪波, 等. 全可再生能源多能互补系统优化配置与运行探索[J]. 太阳能学报, 2024, 45(5): 351-359.

MARAVER D, SIN A, ROYO J, et al.Assessment of CCHP systems based on biomass combustion for small-scale applications through a review of the technology and analysis of energy efficiency parameters[J]. Applied energy, 2013, 102: 1303-1313.

WANG J J, YANG K, XU Z L, et al.Energy and exergy analyses of an integrated CCHP system with biomass air gasification[J]. Applied energy, 2015, 142: 317-327.

KASAEIAN A, RAHDAN P, RAD M A V, et al. Optimal design and technical analysis of a grid-connected hybrid photovoltaic/diesel/biogas under different economic conditions: a case study[J]. Energy conversion and management, 2019, 198: 111810.

WANG J J, DONG F X, MA Z R, et al.Multi-objective optimization with thermodynamic analysis of an integrated energy system based on biomass and solar energies[J]. Journal of cleaner production, 2021, 324: 129257.

SARKAR T, BHATTACHARJEE A, SAMANTA H, et al.Optimal design and implementation of solar PV-wind-biogas-VRFB storage integrated smart hybrid microgrid for ensuring zero loss of power supply probability[J]. Energy conversion and management, 2019, 191: 102-118.

LI C B, YANG H Y, SHAHIDEHPOUR M, et al.Optimal planning of islanded integrated energy system with solar-biogas energy supply[J]. IEEE transactions on sustainable energy, 2020, 11(4): 2437-2448.

ZHANG L, ZHANG L Z, SUN B, et al.Nested optimization design for combined cooling, heating, and power system coupled with solar and biomass energy[J]. International journal of electrical power & energy systems, 2020, 123: 106236.

DI SOMMA M, YAN B, BIANCO N, et al.Multi-objective design optimization of distributed energy systems through cost and exergy assessments[J]. Applied energy, 2017, 204: 1299-1316.

JI L, LIANG X L, XIE Y L, et al.Optimal design and sensitivity analysis of the stand-alone hybrid energy system with PV and biomass-CHP for remote villages[J]. Energy, 2021, 225: 120323.

EL-MASHAD H M, VAN LOON W K P, ZEEMAN G. A model of solar energy utilisation in the anaerobic digestion of cattle manure[J]. Biosystems engineering, 2003, 84(2): 231-238.

WANG J J, YANG Y.Energy, exergy and environmental analysis of a hybrid combined cooling heating and power system utilizing biomass and solar energy[J]. Energy conversion and management, 2016, 124: 566-577.

WU N Y, ZHAN X Y, ZHU X Y, et al.Analysis of biomass polygeneration integrated energy system based on a mixed-integer nonlinear programming optimization method[J]. Journal of cleaner production, 2020, 271: 122761.

LI F, SUN B, ZHANG C H, et al.A hybrid optimization-based scheduling strategy for combined cooling, heating, and power system with thermal energy storage[J]. Energy, 2019, 188: 115948.

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