Firm location, regional weather conditions and bid pricing strategies in the Colombian wholesale electricity market

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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Turning Base Transceiver Stations into Scalable and Controllable DC Microgrids Based on a Smart Sensing Strategy

Sensors ◽

10.3390/s21041202 ◽

2021 ◽

Vol 21 (4) ◽

pp. 1202

Author(s):

Miguel Tradacete ◽

Carlos Santos ◽

José A. Jiménez ◽

Fco Javier Rodríguez ◽

Pedro Martín ◽

...

Keyword(s):

Electricity Market ◽

Low Cost ◽

Storage System ◽

Environmental Parameters ◽

Weather Conditions ◽

Energy Storage System ◽

Electricity Grid ◽

Dc Microgrids ◽

Smart Sensing ◽

Battery Energy

This paper describes a practical approach to the transformation of Base Transceiver Stations (BTSs) into scalable and controllable DC Microgrids in which an energy management system (EMS) is developed to maximize the economic benefit. The EMS strategy focuses on efficiently managing a Battery Energy Storage System (BESS) along with photovoltaic (PV) energy generation, and non-critical load-shedding. The EMS collects data such as real-time energy consumption and generation, and environmental parameters such as temperature, wind speed and irradiance, using a smart sensing strategy whereby measurements can be recorded and computing can be performed both locally and in the cloud. Within the Spanish electricity market and applying a two-tariff pricing, annual savings per installed battery power of 16.8 euros/kW are achieved. The system has the advantage that it can be applied to both new and existing installations, providing a two-way connection to the electricity grid, PV generation, smart measurement systems and the necessary management software. All these functions are integrated in a flexible and low cost HW/SW architecture. Finally, the whole system is validated through real tests carried out on a pilot plant and under different weather conditions.

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