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A Hierarchical Transactive Energy Management Framework for Optimizing the Reserve Profile in District Energy Systems 被引量:1

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摘要 District energy systems(DESs)have become a popular form of satisfying comprehensive energy demands for different types of loads in multiple local buildings.For DFISs,the operational flexibility could be maintained by energy conversion and storage facilities.This paper proposes a hierarchical optimization framework for leveraging and aggregating the DES flexibility to provide contingency reserves.To characterize and quantify the flexibility in individual DESs,the concept of available reserve profile,which is measured by a set of indices,is established.A two-stage robust optimization(RO)model is developed for calculating the indices,which considers the uncertainties associated with wind power and ambient temperature.The lower stage of the two-stage model is managed by district energy system operators(DESOs)which submit reserve profiles to the district energy system coordinator(DESC)at the upper stage,which is responsible for the coordination process.Correspondingly,information privacy is preserved using a coordinated data-sharing strategy.Using reserve profiles submitted by multiple DESOs,the DESC applies the proposed coordination model to provide a certain reserve capacity schedule to DESs,which satisfies the stated objectives.The coordination model is formulated and solved based on the special ordered set(SOS)technique and particle swarm optimization(PSO)algorithm.A test system is developed to illustrate the technical viability and economic feasibility of the proposed technique.
出处 《CSEE Journal of Power and Energy Systems》 SCIE CSCD 2021年第5期922-931,共10页 中国电机工程学会电力与能源系统学报(英文)
基金 supported by the National Natural Science Foundation of China under grant 52022016 China Postdoctoral Science Foundation under grant 2021M693711.
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  • 1Rooijers F J, van Amerongen R A M. Static economic dispatch for co-generation systems. IEEE Transactions on Power Systems, 1994, 9(3): 1392-1398.
  • 2Guo T, Henwood M I, van Ooijen M. An algorithm for combined heat and power economic dispatch. IEEE Transactions on Power Systems, 1996, 11(4): 1778-1784.
  • 3Vasebi A, Fesanghary M, Bathaee S M T. Combined heat and power economic dispatch by harmony search algorithm. International Journal of Electrical Power & Energy Systems, 2007, 29(10): 713-719.
  • 4Khorram E, Jaberipour M. Harmony search algorithm for solving combined heat and power economic dispatch problems. Energy Conversion and Management, 2011, 52(2): 1550-1554.
  • 5Wong K P, Algie C. Evolutionary programming approach for combined heat and power dispatch. Electric Power Systems Research, 2002, 61 (3): 227-232.
  • 6Wang L F, Singh C. Stochastic combined heat and power dispatch based on multi-objective particle swarm optimization. International Journal of Electrical Power & Energy Systems, 2008, 30(3): 226-234.
  • 7Subbaraj P, Rengaraj R, Salivahanan S. Enhancement of combined heat and power economic dispatch using self adaptive real-coded genetic algorithm. Applied Energy, 2009, 86(6): 915-921.
  • 8Sinha N, Bhattacharya T. Genetic Algorithms for non-convex combined heat and power dispatch problems. In: Proceedings of TENCON 2008--2008 IEEE Region 10 Conference, Hyderabad, India, 2008, 1-5.
  • 9Sinha N, Saikia L C, Malakar T. Optimal solution for non-convex combined heat and power dispatch problems using differential evolution. In: Proceedings of 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), Coimbatore, India, 2010,1-5.
  • 10Sudhakaran M, Slochanal S M R. Integrating genetic algorithms and tabu search for combined heat and power economic dispatch. In: Proceedings of TENCON 2003-Conference on Convergent Technologies for Asia-Pacific Region, Bangalore, India, 2003, 67-71.

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