Prices of Mexican Wholesale Electricity Market: An Application of Alpha-Stable Regression

Roman Rodriguez-Aguilar; Jose Antonio Marmolejo-Saucedo; Brenda Retana-Blanco

doi:10.3390/su11113185

Prices of Mexican Wholesale Electricity Market: An Application of Alpha-Stable Regression

Sustainability ◽

10.3390/su11113185 ◽

2019 ◽

Vol 11 (11) ◽

pp. 3185 ◽

Cited By ~ 1

Author(s):

Roman Rodriguez-Aguilar ◽

Jose Antonio Marmolejo-Saucedo ◽

Brenda Retana-Blanco

Keyword(s):

Electricity Market ◽

Heavy Tails ◽

Gradual Increase ◽

Supply And Demand ◽

Electrical Energy ◽

Electrical Network ◽

Price Distribution ◽

Electric Market ◽

Price Estimation ◽

Wholesale Electricity Market

This paper presents a proposal to estimate prices in the Mexican Wholesale Electric Market, which began operations in February 2016, which is why it moves from a scheme with a single bidder to a competitive market. There are particularities in the case of the Mexican market, the main one being the gradual increase in the number of competitors observed until now and, on the other hand, the geographic and technical characteristics of the electric power generation. The observed prices to date show great fluctuations in the observed data due to diverse aspects; among the stems we can mention the own seasonality of the demand of electrical energy, the availability of fuel, the problems of congestion in the electrical network, as well as other risks such as natural hazards. For the above, it is relevant in a market context to have a price estimation as accurate as possible for the decision-making of supply and demand. This paper proposes a methodology for the generation of electricity price estimation through the application of stable alpha regressions, since the behavior of the electric market has shown the presence of heavy tails in its price distribution.

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Diagnosis of Colombia's wholesale electricity market in relation to other Latin American markets

Finance, Markets and Valuation ◽

10.46503/jzqf2873 ◽

2019 ◽

Vol 5 (2) ◽

pp. 57-79

Author(s):

C. Cuta Durán ◽

J. González-Bueno

Keyword(s):

Latin American ◽

Electricity Market ◽

Supply And Demand ◽

Institutional Structure ◽

Current Situation ◽

Point Of View ◽

The Other ◽

Market Participants ◽

Wholesale Electricity Market

This paper aims to diagnose the current situation of the Colombian wholesale electricity market in relation to the markets of Argentina, Ecuador, Mexico, Peru and Uruguay. The analysis has been carried out from the point of view of existing supply and demand in the market, of the market participants, of the types of market that have been able to be constituted depending on the regulatory transformations that have taken place, and of the institutional structure on which they are based. This analysis will make it possible to identify whether the Colombian market lags behind the region or whether, on the contrary, it can be considered a benchmark for the other countries in the region.

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Conceptualization of Vehicle-to-Grid Contract Types and Their Formalization in Agent-Based Models

Complexity ◽

10.1155/2018/3569129 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Esther H. Park Lee ◽

Zofia Lukszo ◽

Paulien Herder

Keyword(s):

Electricity Market ◽

Power Plants ◽

Supply And Demand ◽

Agent Based Modeling ◽

Agent Based ◽

Vehicle To Grid ◽

Fuel Cell Electric Vehicles ◽

Different Types ◽

Wholesale Electricity Market ◽

And Control

Fuel cell electric vehicles (FCEVs) have the potential to be used as flexible power plants in future energy systems. To integrate FCEVs through vehicle-to-grid (V2G), agreements are needed between the FCEV owners and the actor that coordinates V2G on behalf of them, usually considered the aggregator. In this paper, we argue that, depending on the purpose of providing V2G and the goal of the system or the aggregator, different types of contracts are needed, not currently considered in the literature. We propose price-based, volume-based, and control-based contracts. Using agent-based modeling and simulation we show how price-based contracts can be applied for selling V2G in the wholesale electricity market and how volume-based contracts can be used for balancing the local energy supply and demand in a microgrid. The models can provide a base to explore strategies in the market and to improve performance in a system highly dependent on V2G.

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Probabilistic Supply and Demand Balance Control Method based on Electricity Market Mechanism Considering N-1 Criterion

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.141.1 ◽

2021 ◽

Vol 141 (1) ◽

pp. 1-12

Author(s):

Akira Koide ◽

Takao Tsuji ◽

Kazuyuki Tanaka ◽

Hitoshi Sugimoto

Keyword(s):

Electricity Market ◽

Control Method ◽

Balance Control ◽

Supply And Demand ◽

Market Mechanism

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A Game Theoretic Approach in Bidding Strategy in Iran Wholesale Electricity Market: Does Increasing Steps Matter for Profit Maximizers?

SSRN Electronic Journal ◽

10.2139/ssrn.3643961 ◽

2020 ◽

Author(s):

Mostafa Toranji

Keyword(s):

Electricity Market ◽

Bidding Strategy ◽

Theoretic Approach ◽

For Profit ◽

Game Theoretic ◽

Wholesale Electricity Market ◽

Game Theoretic Approach

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Household electricity demand, the intrinsic flexibility index and UK wholesale electricity market prices

Environmental Economics and Policy Studies ◽

10.1007/s10018-020-00296-1 ◽

2020 ◽

Author(s):

Jacopo Torriti

Keyword(s):

Electricity Market ◽

Power Plants ◽

Electricity Demand ◽

Market Prices ◽

Vast Number ◽

Spot Prices ◽

Time Use Survey ◽

Wholesale Electricity Market ◽

The Uk ◽

Flexibility Index

AbstractDuring peak electricity demand periods, prices in wholesale markets can be up to nine times higher than during off-peak periods. This is because if a vast number of users is consuming electricity at the same time, power plants with higher greenhouse gas emissions and higher system costs are typically activated. In the UK, the residential sector is responsible for about one third of overall electricity demand and up to 60% of peak demand. This paper presents an analysis of the 2014–2015 Office for National Statistics National Time Use Survey with a view to derive an intrinsic flexibility index based on timing of residential electricity demand. It analyses how the intrinsic flexibility varies compared with wholesale electricity market prices. Findings show that spot prices and intrinsic flexibility to shift activities vary harmoniously throughout the day. Reflections are also drawn on the application of this research to work on demand side flexibility.

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Detecting the impact of fundamentals and regulatory reforms on the Greek wholesale electricity market using a SARMAX/GARCH model

Energy ◽

10.1016/j.energy.2017.10.064 ◽

2018 ◽

Vol 142 ◽

pp. 1083-1103 ◽

Cited By ~ 4

Author(s):

George P. Papaioannou ◽

Christos Dikaiakos ◽

Athanasios S. Dagoumas ◽

Anargyros Dramountanis ◽

Panagiotis G. Papaioannou

Keyword(s):

Electricity Market ◽

Garch Model ◽

Wholesale Electricity Market ◽

The Impact ◽

Regulatory Reforms

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Prosumer Community Portfolio Optimization via Aggregator: The Case of the Iberian Electricity Market and Portuguese Retail Market

Energies ◽

10.3390/en14133747 ◽

2021 ◽

Vol 14 (13) ◽

pp. 3747

Author(s):

Ricardo Faia ◽

Tiago Pinto ◽

Zita Vale ◽

Juan Manuel Corchado

Keyword(s):

Portfolio Optimization ◽

Electricity Markets ◽

Electricity Market ◽

Retail Market ◽

Wholesale Market ◽

Generation Capacity ◽

Wholesale Electricity Market ◽

Portfolio Optimization Model ◽

Photovoltaic Generators

The participation of household prosumers in wholesale electricity markets is very limited, considering the minimum participation limit imposed by most market participation rules. The generation capacity of households has been increasing since the installation of distributed generation from renewable sources in their facilities brings advantages for themselves and the system. Due to the growth of self-consumption, network operators have been putting aside the purchase of electricity from households, and there has been a reduction in the price of these transactions. This paper proposes an innovative model that uses the aggregation of households to reach the minimum limits of electricity volume needed to participate in the wholesale market. In this way, the Aggregator represents the community of households in market sales and purchases. An electricity transactions portfolio optimization model is proposed to enable the Aggregator reaching the decisions on which markets to participate to maximize the market negotiation outcomes, considering the day-ahead market, intra-day market, and retail market. A case study is presented, considering the Iberian wholesale electricity market and the Portuguese retail market. A community of 50 prosumers equipped with photovoltaic generators and individual storage systems is used to carry out the experiments. A cost reduction of 6–11% is achieved when the community of households buys and sells electricity in the wholesale market through the Aggregator.

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