上海交通大学学报

上海交通大学学报 >

2023 , Vol. 57 >Issue 1: 10 - 16

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2022.017

新型电力系统与综合能源

需求响应下的并网型风-光-沼微能源网优化配置

展开
  • 1.广东电网有限责任公司清远供电局,广东 清远 511500
    2.上海交通大学 电力传输与功率变换控制教育部重点实验室,上海 200240
    3.南京工业大学 电气工程与控制科学学院,南京 211816
俞发强(1990-),工程师,主要从事配电设备运维等工作.

收稿日期: 2022-01-24

  修回日期: 2022-03-22

  网络出版日期: 2022-10-31

基金资助

广东电网公司科技项目(GDKJXM20185779-031800KK52180097)

收起

Optimal Sizing of Grid-Connected Wind-Solar-Biogas Integrated Energy System Considering Demand Response

Expand
  • 1. Qingyuan Power Supply Bureau, Guangdong Power Grid Co., Ltd., Qingyuan 511500, Guangdong, China
    2. Key Laboratory of Power Transmission and Power Conversion Control of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
    3. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China

Received date: 2022-01-24

  Revised date: 2022-03-22

  Online published: 2022-10-31

Fold

摘要

我国农村地区存在丰富的生物质资源,可通过发酵系统将其转化为沼气能加以利用.然而,沼气工程的产出以沼气为主,经济效益普遍较低,难以推广.提出一种由多种可再生能源构成的并网风-光-沼微能源网,利用太阳能、风能和沼气之间的互补性,为用户提供沼气和电力.根据微生物发酵动力学模型和沼气发酵的温敏特性,对沼气的类储能特性进行建模.同时考虑需求侧响应进一步增加系统灵活性,利用分时电价节省购电成本,从而将投资成本和年度运行成本降至最低.案例研究表明,该风-光-沼微能源网可稳定地向用户提供电力;并且通过参与需求响应,可使得投资成本降低3%~9%的情况下年收益增加127%~240%.

关键词： 微能源网; 沼气发电; 需求侧响应; 优化配置

本文引用格式

俞发强, 张名捷, 程语, 陈达伟, 杨函煜, 黎灿兵 . 需求响应下的并网型风-光-沼微能源网优化配置[J]. 上海交通大学学报, 2023 , 57(1) : 10 -16 . DOI: 10.16183/j.cnki.jsjtu.2022.017

Abstract

There are abundant biomass resources in China’s rural areas, which can be converted into biogas energy through fermentation systems. However, the rewards of the investments of the pure biogas projects is poor because biogas is a cheap resource. This paper proposes a 100% renewable grid-connected wind-solar-biogas integrated energy system which utilizes the complementarity between solar energy, wind energy, and biogas to provide users with biogas and electricity. The battery-like characteristics of biogas are modeled based on the microbial fermentation kinetic model and the temperature-sensitive characteristics of biogas fermentation. In addition, the demand-side response is considered to further increase the flexibility of the system, and the time-of-use electricity price is used to save power purchase costs, thereby minimizing investment costs and annual operating costs. Case studies show that the wind-solar-biogas micro-energy network can effectively reduce the total investment cost by 3% to 9% while increasing the benefit by 1.27 to 2.40 times.

Key words： integrated energy system; biogas generation; demand response; optimal sizing

参考文献

[1] 王文彬, 郑蜀江, 范瑞祥, 等. “双碳”背景下微网分布式电能交易绩效评价指标与方法[J]. 上海交通大学学报, 2022, 56(3): 312-324.
[1] WANG Wenbin, ZHENG Shujiang, FAN Ruixiang, et al. Performance evaluation index and method of micro-grid distributed electricity trading under the background of “carbon peaking and carbon neutrality”[J]. Journal of Shanghai Jiao Tong University, 2022, 56(3): 312-324.
[2] 王伟胜. 我国新能源消纳面临的挑战与思考[J]. 电力设备管理, 2021(1): 22-23.
[2] WANG Weisheng. China’s challenges and considerations regarding new energy consumption[J]. Electric Power Equipment Management, 2021(1): 22-23.
[3] 罗尔呷, 张宇, 冯祎宇, 等. 我国沼气产业发展的历程、现状和未来方向研究: 基于河南漯河地区的典型案例分析[J]. 中国农业资源与区划, 2022, 43(5): 132-142.
[3] LUO Erga, ZHANG Yu, FENG Yiyu, et al. The research on cours, current situation and future direction of China’s biogas industry development—Based on the typical case analysis of Luohe area, Henan[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2022, 43(5): 132-142.
[4] 李景明, 李冰峰, 徐文勇. 中国沼气产业发展的政策影响分析[J]. 中国沼气, 2018, 36(5): 3-10.
[4] LI Jingming, LI Bingfeng, XU Wenyong. Analysis of the policy impact on China’s biogas industry development[J]. China Biogas, 2018, 36(5): 3-10.
[5] WANG Z Q, WANG J, MA M L, et al. Distributed event-triggered fixed-time fault-tolerant secondary control of islanded AC microgrid[J]. IEEE Transactions on Power Systems, 2022, 37(5): 4078-4093.
[6] XU D, ZHOU B, CHAN K W, et al. Distributed multienergy coordination of multimicrogrids with biogas-solar-wind renewables[J]. IEEE Transactions on Industrial Informatics, 2019, 15(6): 3254-3266.
[7] ZHOU B, XU D, LI C B, et al. Optimal scheduling of biogas-solar-wind renewable portfolio for multicarrier energy supplies[J]. IEEE Transactions on Power Systems, 2018, 33(6): 6229-6239.
[8] GHAEM SIGARCHIAN S, PALETA R, MALMQUIST A, et al. Feasibility study of using a biogas engine as backup in a decentralized hybrid (PV/wind/battery) power generation system—Case study Kenya[J]. Energy, 2015, 90: 1830-1841.
[9] 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.
[10] 杨欢红, 史博文, 黄文焘, 等. 基于综合需求响应的微能源网日前优化调度方法[J]. 电力建设, 2021, 42(7): 11-19.
[10] YANG Huanhong, SHI Bowen, HUANG Wentao, et al. Day-ahead optimized operation of micro energy grid considering integrated demand response[J]. Electric Power Construction, 2021, 42(7): 11-19.
[11] 刘洪, 王亦然, 李积逊, 等. 考虑建筑热平衡与柔性舒适度的乡村微能源网电热联合调度[J]. 电力系统自动化, 2019, 43(9): 50-58.
[11] LIU Hong, WANG Yiran, LI Jixun, et al. Coordinated heat and power dispatch of micro-energy network of countryside considering heat balance model of building and flexible indoor comfort constraint[J]. Automation of Electric Power Systems, 2019, 43(9): 50-58.
[12] 江岳春, 曾诚玉, 郇嘉嘉, 等. 计及人体舒适度和柔性负荷的综合能源协同优化调度[J]. 电力自动化设备, 2019, 39(8): 254-260.
[12] JIANG Yuechun, ZENG Chengyu, HUAN Jiajia, et al. Integrated energy collaborative optimal dispatch considering human comfort and flexible load[J]. Electric Power Automation Equipment, 2019, 39(8): 254-260.
[13] 李林晏, 韩爽, 乔延辉, 等. 面向高比例新能源并网场景的风光-电动车协同调度方法[J]. 上海交通大学学报, 2022, 56(5): 554-563.
[13] LI Linyan, HAN Shuang, QIAO Yanhui, et al. A wind-solar-electric vehicles coordination scheduling method for high proportion new energy grid-connected scenarios[J]. Journal of Shanghai Jiao Tong University, 2022, 56(5): 554-563.
[14] YANG H Y, LI C B, SHAHIDEHPOUR M, et al. Multistage expansion planning of integrated biogas and electric power delivery system considering the regional availability of biomass[J]. IEEE Transactions on Sustainable Energy, 2021, 12(2): 920-930.
[15] WANG Z Q, WANG J, MA M L, et al. Distributed event-triggered fixed-time fault-tolerant secondary control of islanded AC microgrid[J]. IEEE Transactions on Power Systems, 2022, 37(5): 4078-4093.
[16] RODRíGUEZ-GALLEGOS C D, YANG D Z, GANDHI O, et al. A multi-objective and robust optimization approach for sizing and placement of PV and batteries in off-grid systems fully operated by diesel generators: An Indonesian case study[J]. Energy, 2018, 160: 410-429.
[17] LEE J T, CALLAWAY D S. The cost of reliability in decentralized solar power systems in sub-Saharan Africa[J]. Nature Energy, 2018, 3(11): 960-968.
[18] RIGO-MARIANI R, SARENI B, ROBOAM X. Integrated optimal design of a smart microgrid with storage[J]. IEEE Transactions on Smart Grid, 2017, 8(4): 1762-1770.
[19] HONG Y Y, LIAN R C. Optimal sizing of hybrid wind/PV/diesel generation in a stand-alone power system using Markov-based genetic algorithm[J]. IEEE Transactions on Power Delivery, 2012, 27(2): 640-647.
[20] XU L, RUAN X B, MAO C X, et al. An improved optimal sizing method for wind-solar-battery hybrid power system[J]. IEEE Transactions on Sustainable Energy, 2013, 4(3): 774-785.
[21] 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.
[22] RAHMAN M M, HASAN M M, PAATERO J V, et al. Hybrid application of biogas and solar resources to fulfill household energy needs: A potentially viable option in rural areas of developing countries[J]. Renewable Energy, 2014, 68: 35-45.
Options
文章导航

/

〈 〉