Forecasting the day-ahead Spinning Reserve requirement in competitive electricity market

Author(s):  
N. M. Pindoriya ◽  
S. N. Singh ◽  
S. K. Singh
2021 ◽  
Author(s):  
Alberto Vannoni ◽  
Jose Angel Garcia ◽  
Weimar Mantilla ◽  
Rafael Guedez ◽  
Alessandro Sorce

Abstract Combined Cycle Gas Turbines, CCGTs, are often considered as the bridging technology to a decarbonized energy system thanks to their high exploitation rate of the fuel energetic potential. At present time in most European countries, however, revenues from the electricity market on their own are insufficient to operate existing CCGTs profitably, also discouraging new investments and compromising the future of the technology. In addition to their high efficiency, CCGTs offer ancillary services in support of the operation of the grid such as spinning reserve and frequency control, thus any potential risk of plant decommissioning or reduced investments could translate into a risk for the well-functioning of the network. To ensure the reliability of the electricity system in a transition towards a higher share of renewables, the economic sustainability of CCGTs must be preserved, for which it becomes relevant to monetize properly the ancillary services provided. In this paper, an accurate statistical analysis was performed on the day-ahead, intra-day, ancillary service, and balancing markets for the whole Italian power-oriented CCGT fleet. The profitability of 45 real production units, spread among 6 market zones, was assessed on an hourly basis considering local temperature, specific plant layouts, and off-design performance. The assessment revealed that net income from the ancillary service market doubled, on average, the one from the day-ahead energy market. It was observed that to be competitive in the ancillary services market CCGTs are required to be more flexible in terms of ramp rates, minimum environmental loads, and partial load efficiencies. This paper explores how integrating a Heat Pump and a Thermal Energy Storage within a CCGT could allow improving its competitiveness in the ancillary services market, and thus its profitability, by means of implementing a model of optimal dispatch operating on the ancillary services market.


Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2330 ◽  
Author(s):  
Joao Ferreira ◽  
Ana Martins

Energy markets are based on energy transactions with a central control entity, where the players are companies. In this research work, we propose an IoT (Internet of Things) system for the accounting of energy flows, as well as a blockchain approach to overcome the need for a central control entity. This allows for the creation of local energy markets to handle distributed energy transactions without needing central control. In parallel, the system aggregates users into communities with target goals and creates new markets for players. These two approaches (blockchain and IoT) are brought together using a gamification approach, allowing for the creation and maintenance of a community for electricity market participation based on pre-defined goals. This community approach increases the number of market players and creates the possibility of traditional end users earning money through small coordinated efforts. We apply this approach to the aggregation of batteries from electrical vehicles so that they become a player in the spinning reserve market. It is also possible to apply this approach to local demand flexibility, associated with the demand response (DR) concept. DR is aggregated to allow greater flexibility in the regulation market based on an OpenADR approach that allows the turning on and off of predefined equipment to handle local microgeneration.


2011 ◽  
Vol 354-355 ◽  
pp. 1047-1050
Author(s):  
Da Wei Huang ◽  
Ming Lei

How to determine spinning reserve reasonably in electricity market is one of the key questions which guarantee the security and reliability of power systems. For this issue, based on bi-level programming theory, an optimal model of spinning reserve is established in this paper. In this model the generation cost minimization and the reserve cost minimization are the upper level and lower level optimization object separately, and the network and “N-1”security constraints of the power system are also considered. The determination of reserve capacity and the reliability level are related, and the reserve rate of each unit is determined. And an IEEE-14 nodes test system case is used to demonstrate the feasibility and rationality of this proposed model.


Smart Science ◽  
2018 ◽  
pp. 1-10 ◽  
Author(s):  
Mohammad Ghiasi ◽  
Esmaeil Ahmadinia ◽  
MiladJanghorban Lariche ◽  
Houman Zarrabi ◽  
Rolando Simoes

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