基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行

边辉, 陈丽娜, 马凡琳, 张新, 姜金朋

电力建设 ›› 2022, Vol. 43 ›› Issue (2) : 26-36.

PDF(5769 KB)
PDF(5769 KB)
电力建设 ›› 2022, Vol. 43 ›› Issue (2) : 26-36. DOI: 10.12204/j.issn.1000-7229.2022.02.004
能源互联网

基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行

作者信息 +

Optimal Operation Strategy Based on Central Decoupling and Evolutionary Game for Multiple Agricultural Integrated Energy Systems

Author information +
文章历史 +

摘要

农业园区用能需求集中且源荷多元化,当多个农业园区缺少合理运行方法且分布式接入农网,势必会对农业园区效益与农网安全产生不利影响。针对上述问题,提出一种基于中枢解耦与演化博弈的多农业园区综合能源系统(agricultural integrated energy system,AIES)优化运行方法。首先,构建含电-气-热的AIES耦合供能结构和农业园区需求侧响应模型;然后,利用能量中枢解耦方法将农网与园区解耦,建立农网层与多园区层的博弈模型,农网层考虑电压安全和用能成本,园区层考虑经济效益和农作物供能满意度;再次,提出基于多目标粒子群优化的演化博弈算法,解决了多园区、多目标复杂博弈下的强理性、难以达到Nash均衡的问题;最后,通过算例仿真验证了所提方法的可行性和有效性,实现了多农业园区综合能源系统的优化运行。

Abstract

There are concentrated energy demands and a variety of sources and loads in agricultural parks. When the multiple agricultural parks are dispersedly accessed to rural distribution network and lack of reasonable operation methods, it is bound to have a negative impact on the safety of rural distribution network and the benefit of agricultural parks. In view of the above problems, an optimal operation method based on central decoupling and evolutionary game for multiple agricultural integrated energy system (AIES) is proposed. Firstly, the AIES architecture with electricity-gas-heat and model of the demand response are constructed. Secondly, the rural distribution network is decoupled from the AIES by central decoupling. A two-layer game model including rural network layer and multi-park layer is established. The voltage safety margin and the energy cost are considered in the rural distribution network layer. The satisfaction of crop energy supply and economic benefit are considered in the agricultural park layer. Thirdly, the evolutionary game based on multi-objective particle swarm optimization is proposed. The problem of strong rationality and difficulty in achieving Nash equilibrium in a complex game with multiple parks and goals are solved. Finally, the feasibility and effectiveness of the method are verified by simulation examples. The optimal operation of multiple AIES is achieved.

关键词

中枢解耦 / 演化博弈 / 农网 / 农业园区综合能源系统(AIES) / 粒子群算法

Key words

central decoupling / evolutionary game / rural distribution network / agricultural integrated energy system (AIES) / particle swarm optimization

引用本文

导出引用
边辉, 陈丽娜, 马凡琳, . 基于中枢解耦与演化博弈的多农业园区综合能源系统优化运行[J]. 电力建设. 2022, 43(2): 26-36 https://doi.org/10.12204/j.issn.1000-7229.2022.02.004
Hui BIAN, Lina CHEN, Fanlin MA, et al. Optimal Operation Strategy Based on Central Decoupling and Evolutionary Game for Multiple Agricultural Integrated Energy Systems[J]. Electric Power Construction. 2022, 43(2): 26-36 https://doi.org/10.12204/j.issn.1000-7229.2022.02.004
中图分类号: TM73   

参考文献

[1]
UGWOKE B, SULEMANU S, CORGNATI S P, et al. Demonstration of the integrated rural energy planning framework for sustainable energy development in low-income countries: Case studies of rural communities in Nigeria[J]. Renewable and Sustainable Energy Reviews, 2021, 144:110983.
[2]
LIU Y, BAH Z. Enabling development impact of solar mini-grids through the community engagement: Evidence from rural Sierra Leone[J]. Energy Policy, 2021, 154:112294.
[3]
张新, 杨建华, 王维洲, 等. 面向农村微能网的评价指标构建及应用[J]. 农业工程学报, 2020, 36(6):196-205.
ZHANG Xin, YANG Jianhua, WANG Weizhou, et al. Construction and application of evaluation indexes for rural micro-energy-grid[J]. Transactions of the Chinese Society of Agricultural Engineering, 2020, 36(6):196-205.
[4]
付学谦, 周亚中, 孙宏斌, 等. 园区农业能源互联网在线安全分析:评述与展望[J]. 中国电机工程学报, 2020, 40(17):5404-5412.
FU Xueqian, ZHOU Yazhong, SUN Hongbin, et al. Online security analysis of a park-level agricultural energy Internet: Review and prospect[J]. Proceedings of the CSEE, 2020, 40(17):5404-5412.
[5]
周亚中, 付学谦, 杨菲菲, 等. 考虑空间耦合的农业园区能源互联网静态安全分析[J/OL]. 电网技术. (2021-05-26)[2021-07-01]. https://doi.org/10.13335/j.1000-3673.pst.2021.0445.
ZHOU Yazhong, FU Xueqian, YANG Feifei, et al. Static security analysis of a park-level agricultural energy Internet considering spatial coupling[J/OL]. Power System Technology.(2021-05-26)[2021-07-01]. https://doi.org/10.13335/j.1000-3673.pst.2021.0445. 2021. 0445.
[6]
陈正, 杨建华, 靳开元, 等. 基于能源区块链的设施农业负荷时移与光伏就地消纳控制策略[J]. 电力自动化设备, 2021, 41(2):47-55.
CHEN Zheng, YANG Jianhua, JIN Kaiyuan, et al. Control strategy of time-shift facility agriculture load and photovoltaic local consumption based on energy blockchain[J]. Electric Power Automation Equipment, 2021, 41(2):47-55.
[7]
刘广, 白晓清, 刁天一. 考虑气电网络架构的沼-风-光综合能源微网优化调度[J]. 电网与清洁能源, 2020, 36(12):49-58.
LIU Guang, BAI Xiaoqing, DIAO Tianyi. Optimal scheduling of biogas-wind-solar integrated energy microgrid system considering gas-power network architecture[J]. Power System and Clean Energy, 2020, 36(12):49-58.
[8]
BAHMANI R, KARIMI H, JADID S. Cooperative energy management of multi-energy hub systems considering demand response programs and ice storage[J]. International Journal of Electrical Power & Energy Systems, 2021, 130:106904.
[9]
WANG C, BIE Z H, WU Q W, et al. Coordinated post-contingency dispatch of integrated energy system with multiple participants based on distributed energy trading[J]. International Journal of Electrical Power & Energy Systems, 2021, 130:107011.
[10]
DING Y X, XU Q S, XIA Y X, et al. Optimal dispatching strategy for user-side integrated energy system considering multiservice of energy storage[J]. International Journal of Electrical Power & Energy Systems, 2021, 129:106810.
[11]
崔杨, 姜涛, 仲悟之, 等. 电动汽车与热泵促进风电消纳的区域综合能源系统经济调度方法[J]. 电力自动化设备, 2021, 41(2):1-7.
CUI Yang, JIANG Tao, ZHONG Wuzhi, et al. Economic dispatch approach of RIES for electric vehicle and heat pump to promote wind power accommodation[J]. Electric Power Automation Equipment, 2021, 41(2):1-7.
[12]
张娜, 王欢, 宋坤, 等. 基于多能源需求响应的综合能源系统动态优化控制研究[J/OL]. 电测与仪表. (2020-12-14)[2021-07-01]. https://kns.cnki.net/kcms/detail/23.1202.TH.20201214.1714.002.html.
ZHANG Na, WANG Huan, SONG Kun, et al. A multi-energy demand response based algorithm for integrated energy system using dynamic optimal control[J/OL]. Electrical Measurement & Instrumentation. (2020-12-14)[2021-07-01]. https://kns.cnki.net/kcms/detail/23.1202.TH.20201214.1714.002.html.
[13]
林佳兴, 孙亮, 李佳雯, 等. 计及电热综合需求响应的综合能源系统优化调度[J/OL]. 电测与仪表. (2020-11-26)[2021-07-01]. https://kns.cnki.net/kcms/detail/23.1202.TH.20201125.1541.017.html.
LIN Jiaxing, SUN Liang, LI Jiawen, et al. Research on optimal scheduling of integrated energy system considering comprehensive demand side response of electric heating[J/OL]. Electrical Measurement & Instrumentation. (2020-11-26)[2021-07-01]. https://kns.cnki.net/kcms/detail/23.1202.TH.20201125.1541.017.html.
[14]
丁煜蓉, 陈红坤, 吴军, 等. 计及综合能效的电-气-热综合能源系统多目标优化调度[J]. 电力系统自动化, 2021, 45(2):64-73.
DING Yurong, CHEN Hongkun, WU Jun, et al. Multi-objective optimal dispatch of electricity-gas-heat integrated energy system considering comprehensive energy efficiency[J]. Automation of Electric Power Systems, 2021, 45(2):64-73.
[15]
魏春, 徐向志, 王国烽, 等. 基于非合作博弈的多能量枢纽优化运行方法[J]. 电力自动化设备, 2020, 40(11):48-53.
WEI Chun, XU Xiangzhi, WANG Guofeng, et al. Non-cooperative game-based optimal operation method of multiple energy hubs[J]. Electric Power Automation Equipment, 2020, 40(11):48-53.
[16]
徐青山, 李淋, 盛业宏, 等. 冷热电联供型多微网主动配电系统日前优化经济调度[J]. 电网技术, 2018, 42(6):1726-1735.
XU Qingshan, LI Lin, SHENG Yehong, et al. Day-ahead optimized economic dispatch of active distribution power system with combined cooling, heating and power-based microgrids[J]. Power System Technology, 2018, 42(6):1726-1735.
[17]
王甜婧, 许阔, 朱永强. 主动配电网的源-网-荷多层博弈经济调度策略[J]. 电力系统保护与控制, 2018, 46(4):10-19.
WANG Tianjing, XU Kuo, ZHU Yongqiang. Economic dispatch strategy of active distribution network based on source-network-load multi-layer game[J]. Power System Protection and Control, 2018, 46(4):10-19.
[18]
彭春华, 钱锟, 闫俊丽. 新能源并网环境下发电侧微分演化博弈竞价策略[J]. 电网技术, 2019, 43(6):2002-2010.
PENG Chunhua, QIAN Kun, YAN Junli. A bidding strategy based on differential evolution game for generation side in power grid integrated with renewable energy resources[J]. Power System Technology, 2019, 43(6):2002-2010.
[19]
黄南天, 包佳瑞琦, 蔡国伟, 等. 多主体联合投资微电网源-储多策略有限理性决策演化博弈容量规划[J]. 中国电机工程学报, 2020, 40(4):1212-1225, 1412.
HUANG Nantian, BAO Jiaruiqi, CAI Guowei, et al. Multi-agent joint investment microgrid source-storage multi-strategy bounded rational decision evolution game capacity planning[J]. Proceedings of the CSEE, 2020, 40(4):1212-1225, 1412.
[20]
程乐峰, 余涛. 开放电力市场环境下多群体非对称演化博弈的均衡稳定性典型场景分析[J]. 中国电机工程学报, 2018, 38(19):5687-5703,5926.
CHENG Lefeng, YU Tao. Typical scenario analysis of equilibrium stability of multi-group asymmetric evolutionary games in the open and ever-growing electricity market[J]. Proceedings of the CSEE, 2018, 38(19):5687-5703,5926.
[21]
黄悦华, 王艺洁, 杨楠, 等. 基于演化博弈的用户综合用能行为决策方法研究[J]. 电力系统保护与控制, 2020, 48(23):21-29.
HUANG Yuehua, WANG Yijie, YANG Nan, et al. Research on a decision method of a user comprehensive energy use behavior based on an evolutionary game[J]. Power System Protection and Control, 2020, 48(23):21-29.
[22]
王行行, 赵晋泉, 王珂, 等. 考虑用户满意度和配网安全的电动汽车多目标双层充电优化[J]. 电网技术, 2017, 41(7):2165-2172.
WANG Xingxing, ZHAO Jinquan, WANG Ke, et al. Multi-objective bi-level electric vehicle charging optimization considering user satisfaction degree and distribution grid security[J]. Power System Technology, 2017, 41(7):2165-2172.
[23]
张新, 张漫, 王维洲, 等. 基于改进杂交粒子群算法的农村微能网多能流优化调度[J]. 农业工程学报, 2017, 33(11):157-164.
ZHANG Xin, ZHANG Man, WANG Weizhou, et al. Scheduling optimization for rural micro energy grid multi-energy flow based on improved crossbreeding particle swarm algorithm[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(11):157-164.

基金

国网甘肃省电力公司科技项目(522709200001)

编辑: 景贺峰

版权

版权所有,未经授权,不得转载、摘编本刊文章,不得使用本刊的版式设计。
PDF(5769 KB)

Accesses

Citation

Detail

段落导航
相关文章
AI小编
你好!我是《电力建设》AI小编,有什么可以帮您的吗?

/