A Market Mechanism for Trading Flexibility Between Interconnected Electricity Markets

02/28/2022
by   Hossein Khazaei, et al.
0

Electricity markets differ in their ability to meet power imbalances in short notice in a controlled fashion. Relatively flexible markets have the ability to ramp up (or down) power flows across interties without compromising their ability to reliably meet internal demand. In this paper, a market mechanism to enable flexibility trading amongst market operators is introduced. In the proposed market mechanism, market operators exchange information regarding optimal terms of trade (nodal prices and flows) along interconnection lines at every trading round. Equipped with this information, each market operator then independently solves its own internal chance-constrained economic dispatch problem and broadcasts the updated optimal terms of trade for flows across markets. We show the proposed decentralized market mechanism for flexibility trading converges to a Nash equilibrium of the intraday market coupling game, i.e. a combination of internal market clearing solutions (one for each participating market) and flows and prices along interconnection lines so that no individual market operator has an incentive to modify its own internal solution and/or the terms of trade along interties. For a specific class of chance constraints, we show that the limiting equilibrium outcome is efficient, i.e. it corresponds to the solution of the single market clearing problem for all participating markets. The proposed market mechanism is illustrated with an application to the three-area IEEE Reliability Test System.

READ FULL TEXT
research
09/01/2020

Optimal Solution Analysis and Decentralized Mechanisms for Peer-to-Peer Energy Markets

This paper studies the optimal clearing problem for prosumers in peer-to...
research
06/05/2020

Coordinated Transaction Scheduling in Multi-Area Electricity Markets: Equilibrium and Learning

Tie-line scheduling in multi-area power systems in the US largely procee...
research
05/23/2022

Machine Learning for Electricity Market Clearing

This paper seeks to design a machine learning twin of the optimal power ...
research
11/29/2019

On the Equilibria and Efficiency of Electricity Markets with Renewable Power Producers and Congestion Constraints

With increasing renewable penetration in power systems, a prominent chal...
research
11/03/2021

A Linear Model for Distributed Flexibility Markets and DLMPs: A Comparison with the SOCP Formulation

This paper examines the performance trade-offs between an introduced lin...
research
02/04/2022

ABSNFT: Securitization and Repurchase Scheme for Non-Fungible Tokens Based on Game Theoretical Analysis

The Non-Fungible Token (NFT) is viewed as one of the important applicati...
research
02/03/2020

Data Market Platforms: Trading Data Assets to Solve Data Problems [Vision Paper]

Data only generates value for a few organizations with expertise and res...

Please sign up or login with your details

Forgot password? Click here to reset