Has renewable energy induced competitive behavior in the Spanish electricity market?

Ciarreta, Aitor; Espinosa, Marı́a Paz; Pizarro-Irizar, Cristina

doi:10.1016/j.enpol.2017.01.044

Cited by 45 publications

(26 citation statements)

References 22 publications

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“…The electrical sectors in many countries are currently undergoing reformations, particularly in the form of deregulation of the markets and privatization of power retailers [1,2]. Furthermore, there has been a substantial increase in the number of online electricity auctions over the last decade due to their ability to improve allocative efficiency and to foster competition among power suppliers [1,3,4].…”

Section: Scope and Problemmentioning

confidence: 99%

“…The target of all these auctions is to attract new investors (small and large) [5]. Existing electricity auctions are mostly oriented towards awarding long-term contracts, typically with one or two suppliers over many months or years [2,5,9], with very few focusing on short-term contracts (few hours) [1,10]. Nonetheless, most of the literature on electricity markets does not disclose and describe the auction design and features, bidding strategies and winnerdetermination methods.…”

Section: Scope and Problemmentioning

confidence: 99%

“…In Algorithm 1, we give an overview of our WD approach for both rounds. All the submitted bids (quantity and price values) should be first validated using (1) and (2) …”

Section: Auction Winner Determinationmentioning

confidence: 99%

“…Numerous governments have adopted renewable energy auctions, and their number has increased from 9% in 2009 to 44% by the beginning of 2013 [2]. A common type of electricity auctions is for awarding contracts for the construction of new renewable energy facilities [1]. The target of all these auctions is to attract new investors (small and large) [5].…”

Section: Scope and Problemmentioning

confidence: 99%

“…Furthermore, there has been a substantial increase in the number of online electricity auctions over the last decade due to their ability to improve allocative efficiency and to foster competition among power suppliers [1,3,4]. Auctions can be technology specific (one or more renewable energy) or neutral (past and new technology) [5].…”

Section: Scope and Problemmentioning

confidence: 99%

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Meeting peak electricity demand through combinatorial reverse auctioning of renewable energy

Shil

Sadaoui

2017

J. Mod. Power Syst. Clean Energy

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The option of organizing E-auctions to purchase electricity required for anticipated peak load period is a new one for utility companies. To meet the extra demand load, we develop electricity combinatorial reverse auction (CRA) for the purpose of procuring power from diverse energy sources. In this new, smart electricity market, suppliers of different scales can participate, and homeowners may even take an active role. In our CRA, an item, which is subject to several trading constraints, denotes a time slot that has two conflicting attributes, electricity quantity and price. To secure electricity, we design our auction with two bidding rounds: round one is exclusively for variable energy, and round two allows storage and nonintermittent renewable energy to bid on the remaining items. Our electricity auction leads to a complex winner determination (WD) task that we represent as a resource procurement optimization problem. We solve this problem using multi-objective genetic algorithms in order to find the trade-off solution that best lowers the price and increases the quantity. This solution consists of multiple winning suppliers, their prices, quantities and schedules. We validate our WD approach based on large-scale simulated datasets. We first assess the time-efficiency of our WD method, and we then compare it to well-known heuristic and exact WD techniques. In order to gain an exact idea about the accuracy of WD, we implement two famous exact algorithms for our constrained combinatorial procurement problem.

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Section: Scope and Problemmentioning

confidence: 99%

Section: Scope and Problemmentioning

confidence: 99%

“…In Algorithm 1, we give an overview of our WD approach for both rounds. All the submitted bids (quantity and price values) should be first validated using (1) and (2) …”

Section: Auction Winner Determinationmentioning

confidence: 99%

Section: Scope and Problemmentioning

confidence: 99%

Section: Scope and Problemmentioning

confidence: 99%

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Meeting peak electricity demand through combinatorial reverse auctioning of renewable energy

Shil

Sadaoui

2017

J. Mod. Power Syst. Clean Energy

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Multi-agent Systems Society for Power and Energy Systems Simulation

Santos

Pinto

Vale

2019

Multi-Agent-Based Simulation XIX

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A key challenge in the power and energy field is the development of decision-support systems that enable studying problems as a whole. The interoperability between multi-agent systems that address specific parts of the global problem is essential. Ontologies ease the interoperability between heterogeneous systems providing semantic meaning to the information exchanged between the various parties. The use of ontologies within Smart Grids has been proposed describing the basic concepts used in electricity transportation and distribution. However, these ontologies are focused on the needs from largesized players and operators. The development of ontologies that allow the representation of diverse knowledge sources is essential, aiming at supporting the interaction between systems of different natures, facilitating the interoperability between these systems. This paper proposes a set of ontologies to enable the interoperability between different types of agent-based simulators, namely regarding electricity markets, the smart grid, and residential energy management. A case study based on real data shows the advantages of the proposed approach in enabling comprehensive power system simulation studies.

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Data Mining for Remuneration of Consumers Demand Response Participation

Ribeiro

Pinto

Vale

et al. 2020

Communications in Computer and Information Science

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With the implementation of micro grids and smart grids, new business models able to cope with the new opportunities are being developed. Virtual Power Players are a player that allows aggregating a diversity of entities, to facilitate their participation in the electricity markets and to provide a set of new services promoting generation and consumption efficiency, while improving players` benefits. The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for the success of smart grids. This paper proposes methodologies to develop strategic remuneration of aggregated consumers with demand response participation, this model uses a clustering algorithm, applied on values that were obtained from a scheduling methodology of a real Portuguese distribution network with 937 buses, 20310 consumers and 548 distributed generators. The normalization methods and clustering methodologies were applied to several variables of different consumers, which creates sub-groups of data according to their correlations. The clustering process is evaluated so that the number of data subgroups that brings the most added value for the decision-making process is found, according to players characteristics.

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Has renewable energy induced competitive behavior in the Spanish electricity market?

Cited by 45 publications

References 22 publications

Meeting peak electricity demand through combinatorial reverse auctioning of renewable energy

Meeting peak electricity demand through combinatorial reverse auctioning of renewable energy

Multi-agent Systems Society for Power and Energy Systems Simulation

Data Mining for Remuneration of Consumers Demand Response Participation

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