Stochastic optimisation-based valuation of smart grid options under firm DG contracts

被引:0
|
作者
Giannelos, Spyros [1 ]
Konstantelos, Ioannis [1 ]
Strbac, Goran [1 ]
机构
[1] Imperial Coll London, Dept Elect & Elect Engn, London, England
关键词
Firm DG contracts; Option Value of smart technologies; Planning under uncertainty; Real Options;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Under the current EU legislation, Distribution Network Operators (DNOs) are expected to provide firm connections to new DG, whose penetration is set to increase worldwide creating the need for significant investments to enhance network capacity. However, the uncertainty around the magnitude, location and timing of future DG capacity renders planners unable to accurately determine in advance where network violations may occur. Hence, conventional network reinforcements run the risk of asset stranding, leading to increased integration costs. A novel stochastic planning model is proposed that includes generalized formulations for investment in conventional and smart grid assets such as Demand-Side Response (DSR), Coordinated Voltage Control (CVC) and Soft Open Point (SOP) allowing the quantification of their option value. We also show that deterministic planning approaches may underestimate or completely ignore smart technologies.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Valuation of mixed life insurance contracts under stochastic correlated mortality and interest rates
    Vanessa Hanna
    Pierre Devolder
    European Actuarial Journal, 2024, 14 : 63 - 98
  • [22] Valuation of mixed life insurance contracts under stochastic correlated mortality and interest rates
    Hanna, Vanessa
    Devolder, Pierre
    EUROPEAN ACTUARIAL JOURNAL, 2024, 14 (01) : 63 - 98
  • [23] Valuation of performance-based contracts for capital equipment: A stochastic programming approach
    Sharifi, Mohammadreza
    Kwon, Roy H.
    Jardine, Andrew K. S.
    ENGINEERING ECONOMIST, 2016, 61 (01): : 1 - 22
  • [24] Numerical Pricing of Options under the Exponential Ornstein-Uhlenbeck Stochastic Volatility Model based on a DG Technique
    Hozman, J.
    Tichy, T.
    PROCEEDINGS OF THE 44TH INTERNATIONAL CONFERENCE "APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS", 2018, 2048
  • [25] Assessment of Energy Demand Response Options in Smart Grid Utilizing the Stochastic Programming Approach
    Oh, Seog-Chan
    D'Arcy, James B.
    Arinez, Jorge F.
    Biller, Stephan R.
    Hildreth, Alfred J.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [26] An asymptotic expansion approach to the valuation of vulnerable options under a multiscale stochastic volatility model
    Jeon, Jaegi
    Kim, Geonwoo
    Huh, Jeonggyu
    CHAOS SOLITONS & FRACTALS, 2021, 144
  • [27] General valuation principles for arbitrary payoffs and applications to power options under stochastic volatility
    Angelika Esser
    Financial Markets and Portfolio Management, 2003, 17 (3): : 351 - 372
  • [28] Equilibrium valuation of currency options under a jump-diffusion model with stochastic volatility
    Xing, Yu
    Yang, Xiaoping
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2015, 280 : 231 - 247
  • [29] Stochastic Seasonal Planning of DG-Based Smart Grid and Energy Hub by Considering Demand Response Program and Environmental Impacts
    Ghiasi, Narges S.
    Ghiasi, Seyyed Mohammad Sadegh
    Hadidi, Ramtin
    2023 11TH INTERNATIONAL CONFERENCE ON SMART GRID, ICSMARTGRID, 2023,
  • [30] A lightweight smart contracts framework for blockchain-based secure communication in smart grid applications
    Faheem, Muhammad
    Kuusniemi, Heidi
    Eltahawy, Bahaa
    Bhutta, Muhammad Shoaib
    Raza, Basit
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2024, 18 (03) : 625 - 638