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Locational Marginal Pricing for Flexibility and Uncertainty With Moment Information

  • Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

47 Scopus citations

Abstract

The continuous growth of variable renewable integration has greatly increased uncertainty and variability in the power system, resulting in unprecedentedly high demand for flexibility. Recently, there has been much attention in the power industry to manage the flexibility and uncertainty via market mechanisms. This paper presents a novel approach to jointly clearing energy, reserve, and uncertainty with moment information based on distributionally robust chance constraints (DR-CC). Locational marginal prices (LMP) are derived for both energy and reserve. Uncertainty is modeled with statistical moments of historical forecast errors, and uncertainty marginal prices (UMP) are defined to reflect the marginal cost of uncertainty following the cost-causation principle. The congestion cost of reserve trading is explicitly modelled, and is shown to fully cover financial transmission right (FTR) underfunding. We show that the proposed mechanism guarantees revenue adequacy and provides appropriate incentives for efficient operation and investment. Case studies are carried out to illustrate the impact of the proposed market scheme, and its feasibility is demonstrated on a testbed system based on a real-world 1934-bus grid.

Original languageEnglish
Pages (from-to)2761-2775
Number of pages15
JournalIEEE Transactions on Power Systems
Volume38
Issue number3
DOIs
StatePublished - 1 May 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Distributionally robust
  • flexibility
  • locational marginal price
  • uncertainty marginal price

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