IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v64y2014icp688-696.html
   My bibliography  Save this article

A hybrid method of incorporating extended priority list into equal incremental principle for energy-saving generation dispatch of thermal power systems

Author

Listed:
  • Cheng, Chuntian
  • Li, Shushan
  • Li, Gang

Abstract

The energy-saving generation dispatch (ESGD) policy released by Chinese Government in 2007 is a new code for optimally dispatching electric power generation portfolio in the country with the dual objectives of improving energy efficiency and reducing environmental pollution. The ESGD is substantially different from the competitive market in the developed economies, the traditional economic dispatching or the rational dispatching principle implemented in China prior to the new policy. This paper develops a hybrid method that integrates the extended priority list (EPL), the equal incremental principle (EIP) and a heuristic method to optimize daily generation schedules under ESGD. The EPL is presented to search desirable units set that satisfies the complicated duration period requirements based on thermal unit generation priority list. The EIP is developed to allocate load among the committed units within the combined set. A heuristic method is proposed to deal with inequality constraints, which usually result in difficulty for power allocation, and used to improve these results. The algorithm has been embedded into a newly developed decision support system that is currently being used by operators of the Guizhou Province Power Grid to make day-ahead quarter-hourly generation schedules.

Suggested Citation

  • Cheng, Chuntian & Li, Shushan & Li, Gang, 2014. "A hybrid method of incorporating extended priority list into equal incremental principle for energy-saving generation dispatch of thermal power systems," Energy, Elsevier, vol. 64(C), pages 688-696.
    • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:688-696
    DOI: 10.1016/j.energy.2013.10.044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544213008967
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2013.10.044?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mohammadi-ivatloo, Behnam & Rabiee, Abbas & Soroudi, Alireza & Ehsan, Mehdi, 2012. "Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch," Energy, Elsevier, vol. 44(1), pages 228-240.
    2. Zhang, ZhongXiang, 2010. "China in the transition to a low-carbon economy," Energy Policy, Elsevier, vol. 38(11), pages 6638-6653, November.
    3. Wang, Yongqiang & Zhou, Jianzhong & Mo, Li & Zhang, Rui & Zhang, Yongchuan, 2012. "Short-term hydrothermal generation scheduling using differential real-coded quantum-inspired evolutionary algorithm," Energy, Elsevier, vol. 44(1), pages 657-671.
    4. Liao, Gwo-Ching, 2011. "A novel evolutionary algorithm for dynamic economic dispatch with energy saving and emission reduction in power system integrated wind power," Energy, Elsevier, vol. 36(2), pages 1018-1029.
    5. Poch, Leslie A. & Jenkins, R.T., 1990. "4.4. Dynamic programming models," Energy, Elsevier, vol. 15(7), pages 573-581.
    6. Soares, J. & Silva, M. & Sousa, T. & Vale, Z. & Morais, H., 2012. "Distributed energy resource short-term scheduling using Signaled Particle Swarm Optimization," Energy, Elsevier, vol. 42(1), pages 466-476.
    7. Hasanbeigi, Ali & Morrow, William & Sathaye, Jayant & Masanet, Eric & Xu, Tengfang, 2013. "A bottom-up model to estimate the energy efficiency improvement and CO2 emission reduction potentials in the Chinese iron and steel industry," Energy, Elsevier, vol. 50(C), pages 315-325.
    8. Antunes, C.Henggeler & Martins, A.Gomes & Brito, Isabel Sofia, 2004. "A multiple objective mixed integer linear programming model for power generation expansion planning," Energy, Elsevier, vol. 29(4), pages 613-627.
    9. Abdelaziz, E.A. & Saidur, R. & Mekhilef, S., 2011. "A review on energy saving strategies in industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 150-168, January.
    10. Li, Li & Tan, Zhongfu & Wang, Jianhui & Xu, Jun & Cai, Chengkai & Hou, Yong, 2011. "Energy conservation and emission reduction policies for the electric power industry in China," Energy Policy, Elsevier, vol. 39(6), pages 3669-3679, June.
    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. Yuan, Guanghui & Yang, Weixin, 2019. "Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA)," Energy, Elsevier, vol. 183(C), pages 926-935.
    2. Li, Yuzhong & Chang, Jingcai & Yong, Dong & Huan, Qingchao & Ma, Chunyuan, 2017. "Policy and case study on heat and power cogeneration and industrial centralized heat supply in China," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 93-102.
    3. Bin Xu & Yufei Ma & Ping-an Zhong & Zhongbo Yu & Jianyun Zhang & Feilin Zhu, 2018. "Bargaining Model of Synergistic Revenue Allocation for the Joint Operations of a Multi-Stakeholder Cascade Reservoir System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4625-4642, November.
    4. Feng, Zhong-kai & Niu, Wen-jing & Wang, Sen & Cheng, Chun-tian & Jiang, Zhi-qiang & Qin, Hui & Liu, Yi, 2018. "Developing a successive linear programming model for head-sensitive hydropower system operation considering power shortage aspect," Energy, Elsevier, vol. 155(C), pages 252-261.
    5. Lu, Xueding & Li, Chaoshun & Liu, Dong & Zhu, Zhiwei & Tan, Xiaoqiang & Xu, Rongli, 2023. "Comprehensive stability analysis of complex hydropower system under flexible operating conditions based on a fast stability domain solving method," Energy, Elsevier, vol. 274(C).
    6. Shiyi Chen & Wei Chen & Ahsanullah Soomro & Lijuan Luo & Wenguo Xiang, 2020. "Multi-objective economic emission dispatch of thermal power plants based on grey relational analysis and analytic hierarchy process," Energy & Environment, , vol. 31(5), pages 785-812, August.
    7. Meng, Ming & Pang, Tingting & Li, Xinxin & Niu, Yi, 2024. "Production decision analysis of China's fossil fuel power enterprises in dual market conditions," Energy, Elsevier, vol. 292(C).
    8. Niu, Wen-jing & Feng, Zhong-kai & Cheng, Chun-tian, 2018. "Optimization of variable-head hydropower system operation considering power shortage aspect with quadratic programming and successive approximation," Energy, Elsevier, vol. 143(C), pages 1020-1028.

    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. Glotić, Arnel & Glotić, Adnan & Kitak, Peter & Pihler, Jože & Tičar, Igor, 2014. "Optimization of hydro energy storage plants by using differential evolution algorithm," Energy, Elsevier, vol. 77(C), pages 97-107.
    2. Fitiwi, Desta Z. & Olmos, L. & Rivier, M. & de Cuadra, F. & Pérez-Arriaga, I.J., 2016. "Finding a representative network losses model for large-scale transmission expansion planning with renewable energy sources," Energy, Elsevier, vol. 101(C), pages 343-358.
    3. Younes, Mimoun & Khodja, Fouad & Kherfane, Riad Lakhdar, 2014. "Multi-objective economic emission dispatch solution using hybrid FFA (firefly algorithm) and considering wind power penetration," Energy, Elsevier, vol. 67(C), pages 595-606.
    4. Zheng, J.H. & Chen, J.J. & Wu, Q.H. & Jing, Z.X., 2015. "Reliability constrained unit commitment with combined hydro and thermal generation embedded using self-learning group search optimizer," Energy, Elsevier, vol. 81(C), pages 245-254.
    5. Zhou, Kaile & Yang, Shanlin & Shen, Chao & Ding, Shuai & Sun, Chaoping, 2015. "Energy conservation and emission reduction of China’s electric power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 10-19.
    6. Bahmani-Firouzi, Bahman & Farjah, Ebrahim & Azizipanah-Abarghooee, Rasoul, 2013. "An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties," Energy, Elsevier, vol. 50(C), pages 232-244.
    7. Lin, Shin-Yeu & Chen, Jyun-Fu, 2013. "Distributed optimal power flow for smart grid transmission system with renewable energy sources," Energy, Elsevier, vol. 56(C), pages 184-192.
    8. Soroudi, Alireza, 2013. "Robust optimization based self scheduling of hydro-thermal Genco in smart grids," Energy, Elsevier, vol. 61(C), pages 262-271.
    9. Lin, Shin-Yeu & Lin, Ai-Chih, 2014. "RLOPF (risk-limiting optimal power flow) for systems with high penetration of wind power," Energy, Elsevier, vol. 71(C), pages 49-61.
    10. de Athayde Costa e Silva, Marsil & Klein, Carlos Eduardo & Mariani, Viviana Cocco & dos Santos Coelho, Leandro, 2013. "Multiobjective scatter search approach with new combination scheme applied to solve environmental/economic dispatch problem," Energy, Elsevier, vol. 53(C), pages 14-21.
    11. Mian Yang & Zheng Hu & Jiahai Yuan, 2016. "The recent history and successes of China's energy efficiency policy," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 5(6), pages 715-730, November.
    12. Mohammadi-ivatloo, Behnam & Rabiee, Abbas & Soroudi, Alireza & Ehsan, Mehdi, 2012. "Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch," Energy, Elsevier, vol. 44(1), pages 228-240.
    13. Niknam, Taher & Azizipanah-Abarghooee, Rasoul & Roosta, Alireza & Amiri, Babak, 2012. "A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch," Energy, Elsevier, vol. 42(1), pages 530-545.
    14. Khan, Mohd Shariq & Lee, Moonyong, 2013. "Design optimization of single mixed refrigerant natural gas liquefaction process using the particle swarm paradigm with nonlinear constraints," Energy, Elsevier, vol. 49(C), pages 146-155.
    15. Zhai, Jihua & Burke, Ian T. & Stewart, Douglas I., 2021. "Beneficial management of biomass combustion ashes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    16. Zhang, ZhongXiang, 2014. "Programs, Prices and Policies Towards Energy Conservation and Environmental Quality in China," Working Papers 249427, Australian National University, Centre for Climate Economics & Policy.
    17. Sun, Yongqi & Shen, Hongwei & Wang, Hao & Wang, Xidong & Zhang, Zuotai, 2014. "Experimental investigation and modeling of cooling processes of high temperature slags," Energy, Elsevier, vol. 76(C), pages 761-767.
    18. Hu, Xueyue & Wang, Chunying & Elshkaki, Ayman, 2024. "Material-energy Nexus: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    19. Stua, Michele, 2013. "Evidence of the clean development mechanism impact on the Chinese electric power system's low-carbon transition," Energy Policy, Elsevier, vol. 62(C), pages 1309-1319.
    20. Gao, Shuai & Cai, Wenjia & Liu, Wenling & Wang, Can & Zhang, ZhongXiang, 2014. "Corporate Preferences for Domestic Policy Instruments under a Sectoral Market Mechanism: A Case Study of Shanxi Province in China," Working Papers 249496, Australian National University, Centre for Climate Economics & Policy.

    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:eee:energy:v:64:y:2014:i:c:p:688-696. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.