Published January 2021 | Version v1
Journal article

Investigating minimum income condition orders on European power exchanges: Controversial properties and enhancement proposals

  • 1. Department of Electric Power Engineering, Budapest University of Technology and Economics, Egry József u. 18., 1111 Budapest (Hungary)
  • 2. Business Intelligence and Energy Regulation Department, MVM Hungarian Electricity Ltd., Szentendrei út 207-209., 1031 Budapest (Hungary)

Description

Highlights: • The Minimum Income Condition (MIC) order has several controversial properties. • Discrete elementary bids can be introduced to handle minimum output power. • A new MIC order variant is proposed to emphasize the role of the income criterion. • Another new MIC order variant is proposed to eliminate social welfare distortions. • Numerical simulations verify the merits of new models and practical viability. One of the most difficult challenges of deregulated electricity markets is the proper management and operation planning of economically non-convex generators. The origin of economic non-convexity is twofold. Firstly, generators generally have non-zero minimum output power (MOP) levels, below which they cannot sustain operation. Secondly, they might have substantial fixed costs. The direct consideration of these characteristics leads to very hard non-convex mathematical problems with the increased probability of computational difficulties and long solution time for the market clearing process. Complex orders with explicit Minimum Income Conditions (MICs) have been invented to provide a method to represent non-convex generators on European day-ahead power exchanges. The rationale is that a MIC can be attached to a set of simple supply bids, which means that these bids can be accepted only if their acquired incomes surpass bidder-specified minimal values. The present research is conducted to investigate several controversial issues concerning the current use of MICs from the viewpoint of market participants. Firstly, no direct mechanism is provided to handle the MOP of generators. Secondly, simple bid price constraints and simultaneously attached income criteria can have contradictory implications that lead to sub-optimal clearing results. Thirdly, the current use of MICs contributes to cheating opportunities, because it entails distortions in the social welfare calculation. The paper defines new ways of MIC attachment to circumvent the revealed hindrances. For this purpose, several modification techniques are considered such as the discretization of bid quantities, the relaxation of elementary bid pricing rules and the revision of social welfare calculation. Two novel order types are proposed, supported by comparative numerical simulations using realistic market data.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.apenergy.2020.116070

Additional details

Identifiers

DOI
10.1016/j.apenergy.2020.116070;
PII
S0306261920315002;

Publishing Information

Journal Title
Applied Energy
Journal Volume
281
Journal Page Range
vp.
ISSN
0306-2619
CODEN
APENDX

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53107176
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
COMPUTERIZED SIMULATION; ECONOMIC ANALYSIS; ELECTRICITY; INCOME; MARKET; PROGRAMMING
Descriptors DEC
ECONOMICS; SIMULATION

Optional Information

Copyright
Copyright (c) 2020 The Author(s). Published by Elsevier Ltd.