Local flexibility markets: Literature review on concepts, models and clearing methods

X Jin, Q Wu, H Jia - Applied Energy, 2020 - Elsevier
With high penetration of renewable generation and distributed energy resources, distribution
systems are facing new operational challenges due to their intermittency and uncertainty. To …

[HTML][HTML] An optimal real-time pricing strategy for aggregating distributed generation and battery storage systems in energy communities: A stochastic bilevel …

S Sarfarazi, S Mohammadi, D Khastieva… - International Journal of …, 2023 - Elsevier
The expansion of distributed electricity generation and the increasing capacity of installed
battery storage systems at the community level have posed challenges to efficient technical …

Designing time-of-use tariffs in electricity retail markets using a bi-level model–Estimating bounds when the lower level problem cannot be exactly solved

I Soares, MJ Alves, CH Antunes - Omega, 2020 - Elsevier
Time-of-use tariffs are a pricing strategy for a product or service in which the supplier
establishes time-differentiated prices. Dynamic (eg, day-ahead) time-differentiated electricity …

A semivectorial bilevel programming approach to optimize electricity dynamic time-of-use retail pricing

MJ Alves, CH Antunes - Computers & Operations Research, 2018 - Elsevier
Presently, residential electricity consumers are, in general, charged at flat or dual time-of-
use tariffs along the day, which are defined by the retailer for long periods (eg, one year) …

[HTML][HTML] Demand response of residential houses equipped with PV-battery systems: An application study using evolutionary algorithms

F Lezama, R Faia, P Faria, Z Vale - Energies, 2020 - mdpi.com
Households equipped with distributed energy resources, such as storage units and
renewables, open the possibility of self-consumption of on-site generation, sell energy to the …

An integrated optimization+ learning approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids

F Meng, XJ Zeng, Y Zhang, CJ Dent, D Gong - Information Sciences, 2018 - Elsevier
In this paper, we consider a realistic and meaningful scenario in the context of smart grids
where an electricity retailer serves three different types of customers, ie, customers with an …

[HTML][HTML] Application of predictive control in scheduling of domestic appliances

H Nagpal, A Staino, B Basu - Applied Sciences, 2020 - mdpi.com
In this work, an algorithm for the scheduling of household appliances to reduce the energy
cost and the peak-power consumption is proposed. The system architecture of a home …

A population‐based approach to the bi‐level multifollower problem: an application to the electricity retail market

I Soares, MJ Alves… - … in Operational Research, 2021 - Wiley Online Library
Dynamic tariffs are expected to be implemented as commercial offers of electricity retailers in
smart grids, conveying price signals aimed at shaping usage patterns, with potential benefits …

A technical and economic criteria comparison on demand side management with multi-level optimization model

SN Bragagnolo, JC Vaschetti… - IEEE Latin America …, 2021 - ieeexplore.ieee.org
One-level optimization methods have been proposed to optimize the load profile of a single
user or a cluster of users in the smart grids. In this work, two two-level optimization methods …

Optimizing prices and periods in time-of-use electricity tariff design using bilevel programming

MJ Alves, CH Antunes, I Soares - … , EvoCOP 2020, Held as Part of EvoStar …, 2020 - Springer
In this paper, a comparison is made between two bilevel programming models to design
time-of-use tariffs in the electricity retail market. The upper-level objective function consists of …