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Pareto-efficient double auction power transactions for economic reactive power dispatch

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  • Biswas (Raha), Syamasree
  • Mandal, Kamal Krishna
  • Chakraborty, Niladri

Abstract

Pareto-efficient 12-h variable double auction bilateral power transactions have been considered here. Effect of such on the economic welfare is observed while solving the reactive power dispatch (RPD) by differential evolution with random localization technique. This has been accomplished by a combination of static and dynamic var compensators like capacitor and superconducting magnetic energy storage (SMES) considering the IEEE 57-bus network. Out of these 12-h variable power transactions, the Pareto efficient transactions which were reconciled by planed biding, have provided the maximum global welfare. The economics were ascertained by cumulating the net benefits of the market players and the reduced merchandising surplus caused by the var compensators. The combined capacitor–SMES based Pareto efficient observations on economic RPD were able to reduce 7.41% more power loss and 2.5 times improved economic benefit over the singular capacitor placement. This further achieved 0.069% profit enhancement in connection to the fundamental global welfare.

Suggested Citation

  • Biswas (Raha), Syamasree & Mandal, Kamal Krishna & Chakraborty, Niladri, 2016. "Pareto-efficient double auction power transactions for economic reactive power dispatch," Applied Energy, Elsevier, vol. 168(C), pages 610-627.
    • Handle: RePEc:eee:appene:v:168:y:2016:i:c:p:610-627
    DOI: 10.1016/j.apenergy.2016.01.039
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    1. Rajesh, K. & Bhuvanesh, A. & Kannan, S. & Thangaraj, C., 2016. "Least cost generation expansion planning with solar power plant using Differential Evolution algorithm," Renewable Energy, Elsevier, vol. 85(C), pages 677-686.
    2. Niknam, Taher, 2011. "A new HBMO algorithm for multiobjective daily Volt/Var control in distribution systems considering Distributed Generators," Applied Energy, Elsevier, vol. 88(3), pages 778-788, March.
    3. Su, Wencong & Huang, Alex Q., 2014. "A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers," Applied Energy, Elsevier, vol. 119(C), pages 341-350.
    4. Mohammad Reza, Alizadeh Pahlavani & Hossine Ali, Mohammadpour & Abbas, Shoulaie, 2010. "Voltage stabilization of VSI SMES capacitors and voltage sag compensation by SMES using novel switching strategies," Energy, Elsevier, vol. 35(8), pages 3131-3142.
    5. Luo, Xing & Wang, Jihong & Dooner, Mark & Clarke, Jonathan, 2015. "Overview of current development in electrical energy storage technologies and the application potential in power system operation," Applied Energy, Elsevier, vol. 137(C), pages 511-536.
    6. Pearre, Nathaniel S. & Swan, Lukas G., 2015. "Technoeconomic feasibility of grid storage: Mapping electrical services and energy storage technologies," Applied Energy, Elsevier, vol. 137(C), pages 501-510.
    7. Martinez-Rojas, Marcela & Sumper, Andreas & Gomis-Bellmunt, Oriol & Sudrià-Andreu, Antoni, 2011. "Reactive power dispatch in wind farms using particle swarm optimization technique and feasible solutions search," Applied Energy, Elsevier, vol. 88(12), pages 4678-4686.
    8. Singh, Bindeshwar & Mukherjee, V. & Tiwari, Prabhakar, 2015. "A survey on impact assessment of DG and FACTS controllers in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 846-882.
    9. Jordehi, A. Rezaee, 2015. "Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1260-1267.
    10. Jiang, Bo & Farid, Amro M. & Youcef-Toumi, Kamal, 2015. "Demand side management in a day-ahead wholesale market: A comparison of industrial & social welfare approaches," Applied Energy, Elsevier, vol. 156(C), pages 642-654.
    11. Niknam, Taher & Firouzi, Bahman Bahmani & Ostadi, Amir, 2010. "A new fuzzy adaptive particle swarm optimization for daily Volt/Var control in distribution networks considering distributed generators," Applied Energy, Elsevier, vol. 87(6), pages 1919-1928, June.
    12. Fotouhi Ghazvini, Mohammad Ali & Soares, João & Horta, Nuno & Neves, Rui & Castro, Rui & Vale, Zita, 2015. "A multi-objective model for scheduling of short-term incentive-based demand response programs offered by electricity retailers," Applied Energy, Elsevier, vol. 151(C), pages 102-118.
    13. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2015. "Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving," Applied Energy, Elsevier, vol. 147(C), pages 246-257.
    14. Kaelo, P. & Ali, M.M., 2006. "A numerical study of some modified differential evolution algorithms," European Journal of Operational Research, Elsevier, vol. 169(3), pages 1176-1184, March.
    15. Antunes, Carlos Henggeler & Pires, Dulce Fernão & Barrico, Carlos & Gomes, Álvaro & Martins, António Gomes, 2009. "A multi-objective evolutionary algorithm for reactive power compensation in distribution networks," Applied Energy, Elsevier, vol. 86(7-8), pages 977-984, July.
    16. Bradbury, Kyle & Pratson, Lincoln & Patiño-Echeverri, Dalia, 2014. "Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets," Applied Energy, Elsevier, vol. 114(C), pages 512-519.
    17. Zhu, Jiahui & Yuan, Weijia & Qiu, Ming & Wei, Bin & Zhang, Hongjie & Chen, Panpan & Yang, Yanfang & Zhang, Min & Huang, Xiaohua & Li, Zhenming, 2015. "Experimental demonstration and application planning of high temperature superconducting energy storage system for renewable power grids," Applied Energy, Elsevier, vol. 137(C), pages 692-698.
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