Approaching wind power forecast deviations with internal ex-ante self-balancing

Scharff, Richard; Amelin, Mikael; Söder, Lennart

doi:10.1016/j.energy.2013.03.033

Cited by 8 publications

(7 citation statements)

References 14 publications

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“…Internal self-balancing by the large power-generating companies based on up-to-date production forecasts just shortly before the hour of delivery, has also been suggested for balancing forecast deviations [372], but with some concerns of its value [372] and market power implications [367]. Production forecasts can also be improved through incorporating on-line production, ensemble forecasting and increasing the forecast area [133,369].…”

Section: Market Design To Increase Flexibilitymentioning

confidence: 99%

Review of energy system flexibility measures to enable high levels of variable renewable electricity

Lund

Lindgren

Mikkola

et al. 2015

Renewable and Sustainable Energy Reviews

1,292

578

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Title: Review of energy system flexibility measures to enable high levels of variable renewable electricity Article Type: Review Article Keywords: energy system flexibility; DSM; energy storage; ancillary service; electricity market; smart grid Abstract: The paper reviews different approaches, technologies, and strategies to manage large-scale schemes of variable renewable electricity such as solar and wind power. We consider both supply and demand side measures. In addition to presenting energy system flexibility measures, their importance to renewable electricity is discussed. The flexibility measures available range from traditional ones such as grid extension or pumped hydro storage to more advanced strategies such as demand side management and demand side linked approaches, e.g. the use of electric vehicles for storing excess electricity, but also providing grid support services. Advanced batteries may offer new solutions in the future, though the high costs associated with batteries may restrict their use to smaller scale applications. Different "P2Y"-type of strategies, where P stands for surplus renewable power and Y for the energy form or energy service to which this excess in converted to, e.g. thermal energy, hydrogen, gas or mobility are receiving much attention as potential flexibility solutions, making use of the energy system as a whole. To "functionalize" or to assess the value of the various energy system flexibility measures, these need often be put into an electricity/energy market or utility service context. Summarizing, the outlook for managing large amounts of RE power in terms of options available seems to be promising. AbstractThe paper reviews different approaches, technologies, and strategies to manage large-scale schemes of variable renewable electricity such as solar and wind power. We consider both supply and demand side measures. In addition to presenting energy system flexibility measures, their importance to renewable electricity is discussed. The flexibility measures available range from traditional ones such as grid extension or pumped hydro storage to more advanced strategies such as demand side management and demand side linked approaches, e.g. the use of electric vehicles for storing excess electricity, but also providing grid support services. Advanced batteries may offer new solutions in the future, though the high costs associated with batteries may restrict their use to smaller scale applications. Different -P2Y‖-type of strategies, where P stands for surplus renewable power and Y for the energy form or energy service to which this excess in converted to, e.g. thermal energy, hydrogen, gas or mobility are receiving much attention as potential flexibility solutions, making use of the energy system as a whole. To -functionalize‖ or to assess the value of the various energy system flexibility measures, these need often be put into an electricity/energy market or utility service context. Summarizing, the outlook for managing large amounts of RE power in terms of options avai...

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Section: Market Design To Increase Flexibilitymentioning

confidence: 99%

Review of energy system flexibility measures to enable high levels of variable renewable electricity

Lund

Lindgren

Mikkola

et al. 2015

Renewable and Sustainable Energy Reviews

1,292

578

View full text Add to dashboard Cite

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“…Nevertheless, it is important to recall that this cost should be reimbursed through sale of heat. Thus, the minimum heat unit cost that should be charged to the consumer, to cover at least the operational cost of the district heating during winter, lies between 9.5 €/MW h and 13.6 €/MW h. 5 During the other seasons this heat unit cost is negative. However, it is important to remember that in this work, the investment and maintenance costs are not taken into account.…”

Section: Resultsmentioning

confidence: 99%

“…In fact, in Belgium the imbalance prices are an indication of the status of the system. Thus a low imbalance price suggests 5 The heat unit cost was estimated dividing the total operational cost by the heat demand of the season. 6 Recall that the fuel cost in these seasons is of the order of 96,000 €/week in summer and 192,000 €/week in the intermediate season thus, the profit change represent only 6% and 1.5% of this cost.…”

Section: Resultsmentioning

confidence: 99%

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Bidding strategies for virtual power plants considering CHPs and intermittent renewables

Riveros

Bruninx

Poncelet

et al. 2015

Energy Conversion and Management

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a b s t r a c tEnergy efficiency and renewable-energy sources (RES) are fundamental parts of the European energy policy. For this reason, efficient distributed generation technologies such as combined heat and power coupled to district heating (CHP-DH) and RES based electricity are largely promoted. Additionally, the flexibility that CHP-DH offers to the power system is seen as an option to balance the intermittent output of RES-based generation. This could be done by aggregating RES based electricity generation and CHP DH in a virtual power plant (VPP).In this framework, the present work presents a methodology to evaluate the optimal bidding strategy of a VPP composed of a CHP-DH and RES based generators. The objective is to investigate the optimal bidding strategy for a VPP that uses CHP DH to compensate for the uncertainties regarding RES-based electricity generation and market prices. The VPP operator nominates its energy to the day ahead market the day before the actual delivery (D-1). In real time, any deviation from the day-ahead schedule is settled in the imbalance market. The uncertainties are modeled using a two stage stochastic programming approach.Three different bidding strategies are studied: 'static', 'flexible DA' and 'flexible RT'. The major difference between the studied strategies lies in the dispatch decisions. The 'static' strategy does not adjust the scheduled output of the CHP. Whereas, the 'flexible DA' and 'flexible RT' strategies differ from each other in terms of the information available at the moment of performing the reschedule (second stage decision). The 'flexible DA' reschedules the CHP output for the whole day assuming full knowledge of the RES scenario, but under uncertainty regarding the imbalance price. The 'flexible RT' strategy allows the VPP to adjust its position at each time step depending on the RES generation and imbalance price scenarios.The results show that in comparison with the 'static' strategy, the 'flexible DA' operation results in a profit increase during summer (5900 €/week), the intermediate season (2800 €/week) and winter (2700 €/week). This increase is moderate when compared against the total fuel cost in these seasons. Better results are obtained when the 'flexible RT' strategy is applied. Using this strategy larger profits are achieved for all seasons. For instance, during winter the difference between the 'flexible RT' operation and the 'static' case amounts to 22,600 €/week, approximately 5% of the fuel cost.

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“…At last, to the end of power system operation, Scharff et al [14] quantified the value of shifting of larger parts of the balancing responsibility from the transmission system operator to the power generating companies, with a case study based on the Nordic electricity market. In addition, Kanevce et al [15] modelled the longterm dynamical evolution of Southeast European power transmission system, looking at the system as an evolving grid, which is continually upgrading in order to satisfy the increasing load demand and certain reliability requirements.…”

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confidence: 99%

Our common future – 25 years later: Sustainable development WHATs, HOWs and WHOs of energy, water and environment systems

Markovska

Duić

Guzović

et al. 2013

Energy

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Approaching wind power forecast deviations with internal ex-ante self-balancing

Cited by 8 publications

References 14 publications

Review of energy system flexibility measures to enable high levels of variable renewable electricity

Review of energy system flexibility measures to enable high levels of variable renewable electricity

Bidding strategies for virtual power plants considering CHPs and intermittent renewables

Our common future – 25 years later: Sustainable development WHATs, HOWs and WHOs of energy, water and environment systems

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