Optimal Bidding Strategy for a DER Aggregator in the Day-Ahead Market in the Presence of Demand Flexibility

Somma, Marialaura Di; Graditi, Giorgio; Siano, Pierluigi

doi:10.1109/tie.2018.2829677

Cited by 153 publications

(85 citation statements)

References 19 publications

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“…Reference [19] proposes a local energy system in which an aggregator acts as an intermediate between multi-energy resources and the wholesale market. Although the aggregation is local, the market interaction takes place with the wholesale market only, and assumes that local flexibility is traded in this centralized environment.…”

Section: B Current Researchmentioning

confidence: 99%

Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets

Flórez

Michiorri

Kariniotakis

2020

IEEE Trans. Smart Grid

102

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This paper presents an optimization model for Home Energy Management Systems from an aggregator's standpoint. The aggregator manages a set of resources such as PV, electrochemical batteries and thermal energy storage by means of electric water heaters. Resources are managed in order to participate in the day-ahead energy and local flexibility markets, also considering grid constraint support at the Point of Common Coupling. The resulting model is a Mixed-Integer Linear Programming problem in which the objective is to minimize day-ahead operation costs for the aggregator while complying with energy commitments in the day-ahead market and local flexibility requests. Three sources of uncertainty are considered: energy prices, PV production and load. Adjustable Robust Optimization is used to find a robust counterpart of the problem for including uncertainty. The results obtained show that using robust optimization allows strategic bidding to capture uncertainties while complying with obligations in the wholesale and local market. Data from a real-life energy community with 25 households is used to validate the proposed robust bidding methodology.

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Section: B Current Researchmentioning

confidence: 99%

Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets

Flórez

Michiorri

Kariniotakis

2020

IEEE Trans. Smart Grid

102

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“…A general structure of the market is shown in Fig. , which can be found in the literature . Day‐ahead market : Generation companies and aggregators bid their offers and then the market is cleared at a specific price.…”

Section: Problem Statement and Research Contributionsmentioning

confidence: 99%

“…A general structure of the market is shown in Fig. 1, which can be found in the literature [7,29,30].…”

Section: Electricity Market Scenariomentioning

confidence: 99%

Home Energy Management Systems under Effects of Solar‐Battery Smart Inverter Functions

Dao

Ishii

Takenobu

et al. 2020

IEEJ Transactions Elec Engng

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Rooftop solar panels paired with home‐scale batteries are increasingly popular in the residential area and they bring a fantastic opportunity to households, considered as prosumers, to make benefits from trading electricity. Unlike research in the literature, we consider the trading with technical influences of utility requirements: Volt‐Watt and Volt‐Var functions. As possible active power curtailments may occur and lead to economic losses to households, our work reveals how a home energy management system (HEMS) maximizes profit from trading energy with an aggregator and an electricity retailer. Appropriate optimization problems are formulated with technical constraints, these functions, and home appliances. HEMS responses are optimized in two phases. The first phase is for planning an optimal day‐ahead energy commitment to the aggregator with a consideration of the predicted power curtailments. On the day of operation, the second phase tries to follow the commitment by reoptimizing the responses in the real condition. Simulation of a practical power system shows that addressing these functions can mitigate power curtailment, reduce economic loss, and improve home profits. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“…Renewable energy sources (RES) have become an important contributor of alternative energy to both end users and DSOs. This additional energy supply has enhanced the conventional power grid by providing additional energy during peak periods [9]. In this paper, we consider the utilization of both the battery energy storage system (BESS) and solar panels by DSOs; end users use rooftop solar panels and plug-in electric vehicles with V2G (vehicle-to-grid) capability.…”

Section: Introductionmentioning

confidence: 99%

Maximizing Demand Response Aggregator Compensation through Optimal RES Utilization: Aggregation in Johannesburg, South Africa

Essiet

Sun

2020

Applied Sciences

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This paper examines the role of demand response aggregators in minimizing the cost of electricity generation by distribution utilities in a day-ahead electricity market. In this paper, 2500 standard South African homes are considered as end users. Five clusters (and aggregators) are considered with 500 homes in each cluster. Two cases are analysed: (1) Utilization of renewable energy sources (RES) is implemented by the distribution supply operator (DSO), where it meets excess demand for end users during peak hours by purchasing electricity from the renewable sources of the energy market, and (2) Utilization of RES is implemented by end users alone, and it is assumed that every household has one plug-in electric vehicle (PEV). The aggregators then compete with each other for the most cost-effective energy usage profile; the aggregator with the least energy demand wins the bid. In both cases, energy pricing is estimated according to the day-ahead energy market. A typical day during winter in Johannesburg is considered for the simulation using a genetic algorithm (GA). Results obtained demonstrate the effectiveness of demand response aggregators in maximizing the benefits on both sides of the electricity supply chain.

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Optimal Bidding Strategy for a DER Aggregator in the Day-Ahead Market in the Presence of Demand Flexibility

Cited by 153 publications

References 19 publications

Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets

Optimal Participation of Residential Aggregators in Energy and Local Flexibility Markets

Home Energy Management Systems under Effects of Solar‐Battery Smart Inverter Functions

Maximizing Demand Response Aggregator Compensation through Optimal RES Utilization: Aggregation in Johannesburg, South Africa

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