A Unified Approach to Pricing Under Nonconvexity

被引:28
|
作者
Yang, Zhifang [1 ]
Zheng, Tongxin [2 ]
Yu, Juan [1 ]
Xie, Kaigui [1 ]
机构
[1] Chongqing Univ, Dept Elect Engn, Chongqing 400044, Peoples R China
[2] ISO New England, Dept Business Architecture & Technol, Holyoke, MA 01040 USA
基金
中国国家自然科学基金;
关键词
Convex hull; electricity market; nonconvexity pricing; uplift payment; POINT SUBDIFFERENTIAL METHOD; MARKETS; POWER; FORMULATION; ALGORITHM; ENERGY; MODEL;
D O I
10.1109/TPWRS.2019.2911419
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Nonconvexity in electricity markets creates difficulties in the pricing of electricity today. Equilibrium prices often do not exist, and some forms of side payments are required to provide revenue adequacy for cleared offers and bids in markets. To improve market efficiency and transparency, academia and industry have proposed different pricing schemes, each of that emphasizes only a certain aspect of the desired price. In this paper, we summarize the existing pricing objectives and propose a unified model for pricing under nonconvexity. The tradeoff among competing objectives can be modeled. Aspecific example of the unified nonconvexity pricingmodel is presented, which can be regarded as a general representation of the convex hull pricing method and the commonly adopted locational marginal pricing scheme. The primal formulation of this model is derived. The economic insight of the convex hull pricing method is illustrated based on this model. An extreme-point-based solution method is presented. The proposed pricing model establishes a framework for analyzing the tradeoff among different objectives for pricing under nonconvexity and provides an opportunity to construct more economically justifiable prices through a modification of the objective function and constraints of the proposed pricing model.
引用
收藏
页码:3417 / 3427
页数:11
相关论文
共 50 条
  • [1] A Unified Tree approach for options pricing under stochastic volatility models
    Lo, C. C.
    Nguyen, D.
    Skindilias, K.
    FINANCE RESEARCH LETTERS, 2017, 20 : 260 - 268
  • [2] Optimal control under nonconvexity: A generalized Hamiltonian approach
    Chavas, Jean-Paul
    OPTIMAL CONTROL APPLICATIONS & METHODS, 2023, 44 (05): : 2679 - 2692
  • [3] Pricing balancing ancillary services for low-inertia power systems under uncertainty and nonconvexity
    Li, Zhihao
    Xu, Yinliang
    APPLIED ENERGY, 2025, 377
  • [4] Pricing Frequency Ancillary Services for Low-Inertia Power Systems under Model Nonconvexity
    Li, Zhihao
    Xu, Yinliang
    2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024, 2024, : 1340 - 1345
  • [5] A unified approach for the pricing of options relating to averages
    Funahashi, Hideharu
    Kijima, Masaaki
    REVIEW OF DERIVATIVES RESEARCH, 2017, 20 (03) : 203 - 229
  • [6] A unified approach for the pricing of options relating to averages
    Hideharu Funahashi
    Masaaki Kijima
    Review of Derivatives Research, 2017, 20 : 203 - 229
  • [7] Evolutionary economics under nonconvexity and externalities
    Chavas, Jean-Paul
    Wang, Runhao
    OXFORD ECONOMIC PAPERS-NEW SERIES, 2021, 73 (03): : 1369 - 1389
  • [8] Information flow and pricing errors: A unified approach to estimation and testing
    George, TJ
    Hwang, CY
    REVIEW OF FINANCIAL STUDIES, 2001, 14 (04): : 979 - 1020
  • [9] A unified approach to pricing and risk management of equity and credit risk
    Fontana, Claudio
    Montes, Juan Miguel A.
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2014, 259 : 350 - 361
  • [10] A unified approach for pricing contingent claims on multiple term structures
    Jarrow R.A.
    Turnbull S.M.
    Review of Quantitative Finance and Accounting, 1998, 10 (1) : 5 - 19