Optimal Bidding in day-ahead Spot Markets for Electricity: The Case of Wind Power in Norway

摘要: Through the last decades, climate change and energy dependence concerns have gained increased attention. Renewable development has expanded, with wind power being fastest growing technology. This thesis investigates op- timal interaction between an operational park Nordic market. Wind producers incur costs of imbalances resulting from deviations their submitted production plans to spot report develop, im- plement test a stochastic optimisation model giving optimal market bids for intermittent electricity in day-ahead The are based on evaluation large number scenarios uncertain realisations forecasts, balancing prices prices. A case study is undertaken order evaluate performance. Data collected specified dates at current future sites Norwegian company. developed bidding executed, once each individually all parks jointly. re- veals that jointly use gives expected revenues higher than both sum individual submission equal production. increase results risk-pooling effect bid inclusion price uncertainty. also suggests owners would benefit geographically diversifying within same area. Use rather small increases likely violate Balance Agreement. However, investigations give basis further discussions. Examinations show perfect forecasts make uncertainty unnecessary, indicating efforts should be made reduce improving forecasts. From socio-economic point view, regulation incurred represents reduction value introducing system. Some potential lost, through what can seen as transaction It suggested delaying deadline, which turn forecast lead-time hence uncertainty, Further research investigate minimising related this deadline.