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Loss minimization in distribution systems based on LMP calculation using honey bee mating optimization and point estimate method

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  • Azad-Farsani, Ehsan

Abstract

Locational marginal price (LMP) calculation at distributed generation (DG) busses is an effective way for optimal operation of DG units. The aim of this study is presenting a new LMP formulation which includes distribution loss minimization. A Meta-heuristic modified honey bee mating optimization (MHBMO) algorithm is used to obtain optimal values of LMP and power factor of DG units so that the loss of network is minimized, and the benefit of DG units is maximized. Furthermore, a stochastic power flow based on the point estimate method (PEM) is located in MHBMO algorithm to capture uncertainty in the market price and load demand. The proposed policy is applied to a realistic distribution system for the various market prices at substation buses. The results of this study prove the accuracy and efficiency of the new method over the previous methods in terms of the DG units' benefit, loss minimization, and state estimation of the system.

Suggested Citation

  • Azad-Farsani, Ehsan, 2017. "Loss minimization in distribution systems based on LMP calculation using honey bee mating optimization and point estimate method," Energy, Elsevier, vol. 140(P1), pages 1-9.
  • Handle: RePEc:eee:energy:v:140:y:2017:i:p1:p:1-9
    DOI: 10.1016/j.energy.2017.08.089
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    References listed on IDEAS

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    1. Schulze, Tim & McKinnon, Ken, 2016. "The value of stochastic programming in day-ahead and intra-day generation unit commitment," Energy, Elsevier, vol. 101(C), pages 592-605.
    2. Norouzi, Hadi & Abedi, Sajjad & Jamalzadeh, Reza & Rad, Milad Ghiasi & Hosseinian, Seyed Hossein, 2014. "Modeling and investigation of harmonic losses in optimal power flow and power system locational marginal pricing," Energy, Elsevier, vol. 68(C), pages 140-147.
    3. Rahiminejad, A. & Vahidi, B. & Hejazi, M.A. & Shahrooyan, S., 2016. "Optimal scheduling of dispatchable distributed generation in smart environment with the aim of energy loss minimization," Energy, Elsevier, vol. 116(P1), pages 190-201.
    4. Krishnan, Venkat & Das, Trishna, 2015. "Optimal allocation of energy storage in a co-optimized electricity market: Benefits assessment and deriving indicators for economic storage ventures," Energy, Elsevier, vol. 81(C), pages 175-188.
    5. Haakana, Juha & Tikka, Ville & Lassila, Jukka & Partanen, Jarmo, 2017. "Methodology to analyze combined heat and power plant operation considering electricity reserve market opportunities," Energy, Elsevier, vol. 127(C), pages 408-418.
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    1. Silvia Jiménez-Fernández & Carlos Camacho-Gómez & Ricardo Mallol-Poyato & Juan Carlos Fernández & Javier Del Ser & Antonio Portilla-Figueras & Sancho Salcedo-Sanz, 2018. "Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm," Sustainability, MDPI, vol. 11(1), pages 1-21, December.

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