• Title/Summary/Keyword: two-side price-control

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Game Theory-based Bi-Level Pricing Scheme for Smart Grid Scheduling Control Algorithm

  • Park, Youngjae;Kim, Sungwook
    • Journal of Communications and Networks
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    • v.18 no.3
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    • pp.484-492
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    • 2016
  • Smart grid (SG) technology is now elevating the conventional power grid system to one that functions more cooperatively, responsively, and economically. When applied in an SG the demand side management (DSM) technique can improve its reliability by dynamically changing electricity consumption or rescheduling it. In this paper, we propose a new SG scheduling scheme that uses the DSM technique. To achieve effective SG management, we adopt a mixed pricing strategy based on the Rubinstein-Stahl bargaining game and a repeated game model. The proposed game-based pricing strategy provides energy routing for effective energy sharing and allows consumers to make informed decisions regarding their power consumption. Our approach can encourage consumers to schedule their power consumption profiles independently while minimizing their payment and the peak-to-average ratio (PAR). Through a simulation study, it is demonstrated that the proposed scheme can obtain a better performance than other existing schemes in terms of power consumption, price, average payment, etc.

Bargaining-Based Smart Grid Pricing Model for Demand Side Management Scheduling

  • Park, Youngjae;Kim, Sungwook
    • ETRI Journal
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    • v.37 no.1
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    • pp.197-202
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    • 2015
  • A smart grid is a modernized electrical grid that uses information about the behaviors of suppliers and consumers in an automated fashion to improve the efficiency, reliability, economics, and sustainability of the production and distribution of electricity. In the operation of a smart grid, demand side management (DSM) plays an important role in allowing customers to make informed decisions regarding their energy consumption. In addition, it helps energy providers reduce peak load demand and reshapes the load profile. In this paper, we propose a new DSM scheduling scheme that makes use of the day-ahead pricing strategy. Based on the Rubinstein-Stahl bargaining model, our pricing strategy allows consumers to make informed decisions regarding their power consumption, while reducing the peak-to-average ratio. With a simulation study, it is demonstrated that the proposed scheme can increase the sustainability of a smart grid and reduce overall operational costs.

Occurrence of the Mite Pathogenic Fungus Neozygites floridana on Two Spotted Spider Mite (Tetranychus urticae) in Korea (점박이응애에서 병원성 곰팡이 Neozygites floridana의 발생)

  • Choi, Seon-U;Lee, Gong-Jun;Moon, Young-Hun;Seo, Kyoung-Won;Kang, Chan-Ho;Kim, Jin-Ho;Kim, Jae-Su
    • Korean journal of applied entomology
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    • v.55 no.4
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    • pp.465-469
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    • 2016
  • An entomopathogenic fungus was isolated from the two-spotted spider mite (Tetranychus urticae) in a rearing house, and identified as Neozygites floridana (Entomophthorales: Neozygitaceae). A high infection rate induced by N. floridana could increase the price of the natural enemy. The body color of mites infected by this fungus changed to red or orange and swelling occurred. Fungal conidia were discharged into the webbing produced by the spider mites, making it relatively easy to infect the mites. Primary conidia were pear shaped and capilliconidia almond shaped. The fungus could not be cultured on solid media (PDA, SDAY, or EYSDA), but could possibly be cultured in liquid media (Grace's insect tissue culture medium + 5% fetal bovine serum). Kidney beans were supplied as food for T. urticae; the mite infection rate in a kidney bean canopy was about 36.1%. The density of infected mites was higher on the underside than on the upper side of leaves. Based on the results of this survey, we need to identify methods of fungal control for natural enemy production and biological control agents for T. urticae for effective crop management.