کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
705102 1460905 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Residual demand models for strategic bidding in European power exchanges: Revisiting the methodology in the presence of a large penetration of renewables
ترجمه فارسی عنوان
مدل های تقاضای باقی مانده برای پیشنهاد استراتژیک در مبادلات برق اروپا: بازنگری روش در حضور نفوذ زیادی از انرژی های تجدید پذیر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی


• In non-perfectly competitive day-ahead markets market agents bid strategically.
• Residual-demand-based models have traditionally been used for this purpose in EU PX.
• A methodology to compute residual demands in the MIBEL is described and tested.

In the deregulated framework in place in most power systems, a significant part of the energy is traded through auctions on day-ahead markets where agents submit bids to either buy or sell energy. When defining a bidding strategy, generators usually resort to models that anticipate and simulate agent interactions. The residual demand curve (RDC), a well-known approach to representing competitor behaviour, enables generators to formulate effective oligopolistic strategies.One way to estimate and build an RDC is to use information available about other agents’ bids on previous and comparable days as a reference. This basic approach to market modelling has proven useful in the past in European power exchanges. In the current context, however, characterised by substantial market penetration on the part of non-dispatchable renewable resources, the suitability of this method of RDC building may need to be tested.This paper first analyses how the results of day-ahead auctions on European power exchanges have been affected by the growing penetration of renewable energy. It then questions both the use of RDC as an approach in this changing context and the aforementioned simplified estimation method to compute these curves. The discussion is illustrated with empirical evidence from the Iberian market.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 108, March 2014, Pages 178–184
نویسندگان
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