碳排放对虚拟发电厂热电联合系统运行的影响

Yu-hang XIA; Jun-yong LIU; Zheng-wen HUANG; Xu ZHANG

doi:10.1631/FITEE.1500467

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碳排放对虚拟发电厂热电联合系统运行的影响

常规文章 | Updated：2022-05-19

- 碳排放对虚拟发电厂热电联合系统运行的影响
- Carbon emission impact on the operation of virtual power plant with combined heat and power system
- 信息与电子工程前沿（英文） 2016年17卷第5期页码：479-488
- Affiliations：
  
  1School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
  2Brunel Institute of Power Systems, Brunel University, London UB8 3PH, UK
  3Guangzhou Power Supply Bureau, Guangzhou 510000, China
- Author bio：
  
  E-mail: scxyh@foxmail.com
- Funds：
- DOI：10.1631/FITEE.1500467
  中图分类号： TM732
- 收稿：2015-12-22，
  
  录用：2016-5-10，
  
  纸质出版：2016-05
- Accepted：
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碳排放对虚拟发电厂热电联合系统运行的影响[J]. 信息与电子工程前沿（英文）, 2016,17(5):479-488.

Yu-hang XIA, Jun-yong LIU, Zheng-wen HUANG, et al. Carbon emission impact on the operation of virtual power plant with combined heat and power system[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(5): 479-488.
碳排放对虚拟发电厂热电联合系统运行的影响[J]. 信息与电子工程前沿（英文）, 2016,17(5):479-488. DOI： 10.1631/FITEE.1500467.

Yu-hang XIA, Jun-yong LIU, Zheng-wen HUANG, et al. Carbon emission impact on the operation of virtual power plant with combined heat and power system[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(5): 479-488. DOI： 10.1631/FITEE.1500467.

摘要

目的

现有的研究在对虚拟发电厂运行建模时，通常只考虑了用户的电能需求，而且在利用热电联产机组(CHP)对用户供热时，不仅增加了虚拟发电厂的整体碳排放量，还会造成大量的弃风。考虑到虚拟发电厂内部风电机组出力时段和用户热能需求的互补性，本文提出了考虑碳排放的虚拟发电厂热电联合系统运行模型。

创新点

提出了在虚拟发电厂中配置电锅炉消纳风电机组出力。利用风电机组和电锅炉不仅能够减少虚拟发电厂的整体碳排放，促进风电的消纳，还能突破传统热电联产机组的供热水平，降低虚拟发电厂的运行成本。

方法

将电锅炉应用到虚拟发电厂的热电联合系统中后，建立了一个包含虚拟发电厂碳排放成本、虚拟发电厂运行成本和虚拟发电厂与主网的电量交易成本的多目标模型。根据模糊隶属度函数将其转化为单目标模型，并利用CPLEX工具包对其求解。然后分析了四种场景下的虚拟发电厂内部机组出力情况（图5-8）、碳排放量和电量交易成本。

结论

引入电锅炉后能够将热电联产机组的热电生产过程解耦，最大化消纳风电机组出力，降低虚拟发电厂的运行成本，还能显著降低虚拟发电厂的整体碳排放量。

Abstract

A virtual power plant (VPP) can realize the aggregation of distributed generation in a certain region

and represent distributed generation to participate in the power market of the main grid. With the expansion of VPPs and ever-growing heat demand of consumers

managing the effect of fluctuations in the amount of available renewable resources on the operation of VPPs and maintaining an economical supply of electric power and heat energy to users have been important issues. This paper proposes the allocation of an electric boiler to realize wind power directly converted for supplying heat

which can not only overcome the limitation of heat output from a combined heat and power (CHP) unit

but also reduce carbon emissions from a VPP. After the electric boiler is considered in the VPP operation model of the combined heat and power system

a multi-objective model is built

which includes the costs of carbon emissions

total operation of the VPP and the electricity traded between the VPP and the main grid. The model is solved by the CPLEX package using the fuzzy membership function in Matlab

and a case study is presented. The power output of each unit in the case study is analyzed under four scenarios. The results show that after carbon emission is taken into account

the output of low carbon units is significantly increased

and the allocation of an electric boiler can facilitate the maximum absorption of renewable energy

which also reduces carbon emissions from the VPP.

关键词

Keywords

references

T Ackermann , , , G Andersson , , , L S?der . . Distributed generation: a definition . . Electr. Power Syst. Res. , , 2001 . . 57 ( ( 3 ): ): 195 - - 204 . . DOI: 10.1016/S0378-7796(01)00101-8 http://doi.org/10.1016/S0378-7796(01)00101-8 . .

O Arslan , , , O.E Karasan . . Cost and emission impacts of virtual power plant formation in plug-in hybrid electric vehicle penetrated networks . . Energy , , 2013 . . 60 116 - - 124 . . DOI: 10.1016/j.energy.2013.08.039 http://doi.org/10.1016/j.energy.2013.08.039 . .

J.C Bezdek . . Pattern Recognition with Fuzzy Objective Function Algorithms . . Springer-Verlag, New York, USA , , 1981 . . 155 - - 192 . . DOI: 10.1007/978-1-4757-0450-1 http://doi.org/10.1007/978-1-4757-0450-1 . .

J Driesen , , , F Katiraei . . Design for distributed energy resources . . IEEE Power Energy Mag. , , 2008 . . 6 ( ( 3 ): ): 30 - - 40 . . DOI: 10.1109/MPE.2008.918703 http://doi.org/10.1109/MPE.2008.918703 . .

D Guan , , , K Hubacek , , , C.L Weber , , , 等 . . The drivers of Chinese CO2 emissions from 1980 to 2030 . . Glob. Environ. Change , , 2008 . . 18 ( ( 4 ): ): 626 - - 634 . . DOI: 10.1016/j.gloenvcha.2008.08.001 http://doi.org/10.1016/j.gloenvcha.2008.08.001 . .

L Hernandez , , , C Baladron , , , J.M Aguiar , , , 等 . . A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants . . IEEE Commun. Mag. , , 2013 . . 51 ( ( 1 ): ): 106 - - 113 . . DOI: 10.1109/MCOM.2013.6400446 http://doi.org/10.1109/MCOM.2013.6400446 . .

C Kieny , , , B Berseneff , , , N Hadjsaid , , , 等 . . On the concept and the interest of virtual power plant: some results from the European project Fenix . . Proc. IEEE Power & Energy Society General Meeting , , 2009 . . 1 - - 6 . . DOI: 10.1109/PES.2009.5275526 http://doi.org/10.1109/PES.2009.5275526 . .

Z.M Li , , , F Zhang , , , J Liang , , , 等 . . Optimization on microgrid with combined heat and power system . . Proc.CSEE , , 2015 . . 35 ( ( 14 ): ): 3569 - - 3576 . . DOI: 10.13334/j.0258-8013.pcsee.2015.14.011 http://doi.org/10.13334/j.0258-8013.pcsee.2015.14.011 . .

P Lombardi , , , M St?tzer , , , Z Styczynski , , , 等 . . Multicriteria optimization of an energy storage system within a Virtual Power Plant architecture . . Proc. IEEE Power and Energy Society General Meeting , , 2011 . . 1 - - 6 . . DOI: 10.1109/PES.2011.6039347 http://doi.org/10.1109/PES.2011.6039347 . .

H Lund , , , E Mnster . . Modelling of energy systems with a high percentage of CHP and wind power . . Renew. Energy , , 2003 . . 28 ( ( 14 ): ): 2179 - - 2193 . . DOI: 10.1016/S0960-1481(03)00125-3 http://doi.org/10.1016/S0960-1481(03)00125-3 . .

E Mashhour , , , S.M Moghaddas-Tafreshi . . Bidding strategy of virtual power plant for participating in energy and spinning reserve markets-Part II: numerical analysis . . IEEE Trans. Power Syst. , , 2011 . . 26 ( ( 2 ): ): 957 - - 964 . . DOI: 10.1109/TPWRS.2010.2070883 http://doi.org/10.1109/TPWRS.2010.2070883 . .

A Mohd , , , E Ortjohann , , , A Schmelter , , , 等 . . Challenges in integrating distributed energy storage systems into future smart grid . . Proc. IEEE Int. Symp. on Industrial Electronics , , 2008 . . 1627 - - 1632 . . DOI: 10.1109/ISIE.2008.4676896 http://doi.org/10.1109/ISIE.2008.4676896 . .

H Pandzic , , , I Kuzle , , , T Capuder . . Virtual power plant mid-term dispatch optimization . . Appl. Energy , , 2013 . . 101 134 - - 141 . . DOI: 10.1016/j.apenergy.2012.05.039 http://doi.org/10.1016/j.apenergy.2012.05.039 . .

C Perroni , , , T.F Rutherford . . International trade in carbon emission rights and basic materials: general equilibrium calculations for 2020 . . Scand. J. Econ. , , 1993 . . 95 ( ( 3 ): ): 257 - - 278 . . DOI: 10.2307/3440355 http://doi.org/10.2307/3440355 . .

D Pudjianto , , , C Ramsay , , , G Strbac . . Virtual power plant and system integration of distributed energy resources . . IET Renew. Power Gener. , , 2007 . . 1 ( ( 1 ): ): 10 - - 16 . . DOI: 10.1049/iet-rpg:20060023 http://doi.org/10.1049/iet-rpg:20060023 . .

A.F Raab , , , M Ferdowsi , , , E Karfopoulos , , , 等 . . Virtual power plant control concepts with electric vehicles . . Proc. 16th Int. Conf. on Intelligent System Application to Power Systems , , 2011 . . 1 - - 6 . . DOI: 10.1109/ISAP.2011.6082214 http://doi.org/10.1109/ISAP.2011.6082214 . .

N Ruiz , , , I Cobelo , , , J Oyarzabal . . A direct load control model for virtual power plant management . . IEEE Trans. Power Syst. , , 2009 . . 24 ( ( 2 ): ): 959 - - 966 . . DOI: 10.1109/TPWRS.2009.2016607 http://doi.org/10.1109/TPWRS.2009.2016607 . .

H Saboori , , , M Mohammadi , , , R Taghe . . Virtual power plant (VPP), definition, concept, components and types . . Proc. Asia-Pacific Power and Energy Engineering Con , , 2011 . . 1 - - 4 . . DOI: 10.1109/APPEEC.2011.5749026 http://doi.org/10.1109/APPEEC.2011.5749026 . .

S Skarvelis-Kazakos , , , E Rikos , , , E Kolentini , , , 等 . . Implementing agent-based emissions trading for controlling Virtual Power Plant emissions . . Electr. Power Syst. Res. , , 2013 . . 102 1 - - 7 . . DOI: 10.1016/j.epsr.2013.04.004 http://doi.org/10.1016/j.epsr.2013.04.004 . .

S Teleke , , , M.E Baran , , , A.Q Huang , , , 等 . . Control strategies for battery energy storage for wind farm dispatching . . IEEE Trans. Energy Conv. , , 2009 . . 24 ( ( 3 ): ): 725 - - 732 . . DOI: 10.1109/TEC.2009.2016000 http://doi.org/10.1109/TEC.2009.2016000 . .

B.C Ummels , , , M Gibescu , , , E Pelgrum , , , 等 . . Impacts of wind power on thermal generation unit commitment and dispatch . . IEEE Trans. Energy Conv. , , 2007 . . 22 ( ( 1 ): ): 44 - - 51 . . DOI: 10.1109/TEC.2006.889616 http://doi.org/10.1109/TEC.2006.889616 . .

B Wille-Haussmann , , , T Erge , , , C Wittwer . . Decentralised optimisation of cogeneration in virtual power plants . . Solar Energy , , 2010 . . 84 ( ( 4 ): ): 604 - - 611 . . DOI: 10.1016/j.solener.2009.10.009 http://doi.org/10.1016/j.solener.2009.10.009 . .

Y.H Xia , , , J.Y Liu . . Review of virtual power plant based on distributed generation . . Electr. Power Autom. Equip. , , 2016a . . 36 ( ( 4 ): ): 100 - - 106 . . DOI: 10.16081/j.issn.1006-6047.2016.04.016 http://doi.org/10.16081/j.issn.1006-6047.2016.04.016 . .

Y.H Xia , , , J.Y Liu . . Optimal scheduling of virtual power plant with risk management . . J. Power Technol. , , 2016b . . 96 ( ( 1 ): ): 49 - - 56 . . . .

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