IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i5p1433-d144634.html
   My bibliography  Save this article

Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity

Author

Listed:
  • Danyang Guo

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Jilai Yu

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

  • Mingfei Ban

    (School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China)

Abstract

Conventional environmental-economic power dispatch methods constrain the total amount of emissions of power plants, and they succeed in reducing emissions from the power sector. However, they fail to address the mismatch between emission reductions and the resulting changes in regional air quality. This paper proposes an ecology- and security-constrained unit commitment (Eco-SCUC) model considering the differentiated impacts of generation-associated emissions on regional air quality. A Gaussian puff dispersion model is applied to capture the temporal-spatial transport of air pollutants. Additionally, an air pollutant intensity (API) index is defined for assessing the impacts of emissions on the air quality in regions with differentiated atmospheric environmental capacities. Then the API constraints are formulated based on air quality forecast and included in SCUC model. Moreover, the stochastic optimization is employed to accommodate wind power uncertainty, and the Benders decomposition technique is used to solve the formulated mixed-integer quadratic programming (MIQP) problem. Case studies demonstrate that the Eco-SCUC can cost-effectively improve air quality for densely-populated regions via shifting generation among units and can significantly reduce the person-hours exposed to severe air pollution. Furthermore, the benefits of wind power for air quality control are investigated.

Suggested Citation

  • Danyang Guo & Jilai Yu & Mingfei Ban, 2018. "Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1433-:d:144634
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/5/1433/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/5/1433/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaohuan Lyu & Anna Shi, 2018. "Research on the Renewable Energy Industry Financing Efficiency Assessment and Mode Selection," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    2. Yongli Wang & Yujing Huang & Yudong Wang & Fang Li & Yuanyuan Zhang & Chunzheng Tian, 2018. "Operation Optimization in a Smart Micro-Grid in the Presence of Distributed Generation and Demand Response," Sustainability, MDPI, vol. 10(3), pages 1-25, March.
    3. Dunguo Mou, 2018. "Wind Power Development and Energy Storage under China’s Electricity Market Reform—A Case Study of Fujian Province," Sustainability, MDPI, vol. 10(2), pages 1-20, January.
    4. Nian Shi & Yi Luo, 2017. "Energy Storage System Sizing Based on a Reliability Assessment of Power Systems Integrated with Wind Power," Sustainability, MDPI, vol. 9(3), pages 1-20, March.
    5. Jun Ye & Rongxiang Yuan, 2017. "Integrated Natural Gas, Heat, and Power Dispatch Considering Wind Power and Power-to-Gas," Sustainability, MDPI, vol. 9(4), pages 1-16, April.
    6. Haijun Zhao & Weichun Ma & Hongjia Dong & Ping Jiang, 2017. "Analysis of Co-Effects on Air Pollutants and CO 2 Emissions Generated by End-of-Pipe Measures of Pollution Control in China’s Coal-Fired Power Plants," Sustainability, MDPI, vol. 9(4), pages 1-19, March.
    7. Wei, Wei & Liu, Feng & Wang, Jianhui & Chen, Laijun & Mei, Shengwei & Yuan, Tiejiang, 2016. "Robust environmental-economic dispatch incorporating wind power generation and carbon capture plants," Applied Energy, Elsevier, vol. 183(C), pages 674-684.
    8. Xiaodong Li & Xuwu Chen & Xingzhong Yuan & Guangming Zeng & Tomás León & Jie Liang & Gaojie Chen & Xinliang Yuan, 2017. "Characteristics of Particulate Pollution (PM 2.5 and PM 10 ) and Their Spacescale-Dependent Relationships with Meteorological Elements in China," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
    9. Qingshan Xu & Yifan Ding & Aixia Zheng, 2017. "An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability," Sustainability, MDPI, vol. 9(5), pages 1-20, May.
    10. Qian Zhou & Helmut Yabar & Takeshi Mizunoya & Yoshiro Higano, 2017. "Evaluation of Integrated Air Pollution and Climate Change Policies: Case Study in the Thermal Power Sector in Chongqing City, China," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chih-Chun Kung & Bruce A. McCarl, 2018. "Sustainable Energy Development under Climate Change," Sustainability, MDPI, vol. 10(9), pages 1-4, September.
    2. Yu-ting Bai & Xue-bo Jin & Xiao-yi Wang & Xiao-kai Wang & Ji-ping Xu, 2020. "Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis," IJERPH, MDPI, vol. 17(1), pages 1-19, January.
    3. Xueyan Liu & Xiaolong Gao, 2018. "A New Study on Air Quality Standards: Air Quality Measurement and Evaluation for Jiangsu Province Based on Six Major Air Pollutants," Sustainability, MDPI, vol. 10(10), pages 1-16, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Máximo A. Domínguez-Garabitos & Víctor S. Ocaña-Guevara & Félix Santos-García & Adriana Arango-Manrique & Miguel Aybar-Mejía, 2022. "A Methodological Proposal for Implementing Demand-Shifting Strategies in the Wholesale Electricity Market," Energies, MDPI, vol. 15(4), pages 1-28, February.
    2. Li, M.S. & Lin, Z.J. & Ji, T.Y. & Wu, Q.H., 2018. "Risk constrained stochastic economic dispatch considering dependence of multiple wind farms using pair-copula," Applied Energy, Elsevier, vol. 226(C), pages 967-978.
    3. Rong Liu & Xiaojun Liu & Bingbing Pan & Hui Zhu & Zhaokang Yuan & Yuanan Lu, 2018. "Willingness to Pay for Improved Air Quality and Influencing Factors among Manufacturing Workers in Nanchang, China," Sustainability, MDPI, vol. 10(5), pages 1-11, May.
    4. Qingshan Xu & Yifan Ding & Aixia Zheng, 2017. "An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability," Sustainability, MDPI, vol. 9(5), pages 1-20, May.
    5. Ning Qi & Xuemei Tan & Tengfei Wu & Qing Tang & Fengshou Ning & Debin Jiang & Tengtun Xu & Hong Wu & Lingxiao Ren & Wei Deng, 2022. "Temporal and Spatial Distribution Analysis of Atmospheric Pollutants in Chengdu–Chongqing Twin-City Economic Circle," IJERPH, MDPI, vol. 19(7), pages 1-16, April.
    6. Kejun Jiang & Sha Chen & Chenmin He & Jia Liu & Sun Kuo & Li Hong & Songli Zhu & Xiang Pianpian, 2019. "Energy transition, CO2 mitigation, and air pollutant emission reduction: scenario analysis from IPAC model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1277-1293, December.
    7. Wang, Zhiwen & Shen, Chen & Liu, Feng, 2018. "A conditional model of wind power forecast errors and its application in scenario generation," Applied Energy, Elsevier, vol. 212(C), pages 771-785.
    8. Zhang, Gaohang & Li, Fengting & Wang, Sen & Yin, Chunya, 2023. "Robust low-carbon energy and reserve scheduling considering operational risk and flexibility improvement," Energy, Elsevier, vol. 284(C).
    9. Yanyue Wang & Guohua Fang, 2022. "Joint Operation Modes and Economic Analysis of Nuclear Power and Pumped Storage Plants under Different Power Market Environments," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    10. Jin, Jingliang & Wen, Qinglan & Cheng, Siqi & Qiu, Yaru & Zhang, Xianyue & Guo, Xiaojun, 2022. "Optimization of carbon emission reduction paths in the low-carbon power dispatching process," Renewable Energy, Elsevier, vol. 188(C), pages 425-436.
    11. Li, Yanbin & Zhang, Feng & Li, Yun & Wang, Yuwei, 2021. "An improved two-stage robust optimization model for CCHP-P2G microgrid system considering multi-energy operation under wind power outputs uncertainties," Energy, Elsevier, vol. 223(C).
    12. Xu, Hao & Xu, Jingxuan & Wang, Jie & Hou, Xiang, 2023. "Reduce production or increase efficiency? Hazardous air pollutants regulation, energy use, and the synergistic effect on industrial enterprises' carbon emission," Energy Economics, Elsevier, vol. 126(C).
    13. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
    14. Jing Liu & Wei Sun & Jinghao Yan, 2021. "Effect of P2G on Flexibility in Integrated Power-Natural Gas-Heating Energy Systems with Gas Storage," Energies, MDPI, vol. 14(1), pages 1-15, January.
    15. Goudarzi, Arman & Swanson, Andrew G. & Van Coller, John & Siano, Pierluigi, 2017. "Smart real-time scheduling of generating units in an electricity market considering environmental aspects and physical constraints of generators," Applied Energy, Elsevier, vol. 189(C), pages 667-696.
    16. Abbas Rabiee & Ali Abdali & Seyed Masoud Mohseni-Bonab & Mohsen Hazrati, 2021. "Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    17. Ning Liang & Changhong Deng & Yahong Chen & Weiwei Yao & Dinglin Li & Man Chen & Peng Peng, 2018. "Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks," Sustainability, MDPI, vol. 10(6), pages 1-15, June.
    18. Lin, Boqiang & Xu, Bin, 2018. "How to promote the growth of new energy industry at different stages?," Energy Policy, Elsevier, vol. 118(C), pages 390-403.
    19. Hyungguen Park & Changhee Kim, 2018. "Do Shifts in Renewable Energy Operation Policy Affect Efficiency: Korea’s Shift from FIT to RPS and Its Results," Sustainability, MDPI, vol. 10(6), pages 1-14, May.
    20. Karol Kostúr & Marek Laciak & Milan Durdan, 2018. "Some Influences of Underground Coal Gasification on the Environment," Sustainability, MDPI, vol. 10(5), pages 1-31, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1433-:d:144634. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.