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It is important for hydropower plants owner in the electricity market to work on the errors of forecasted prices. The paper established the profits maximization model, which treated the price as stochastic and considered correlation between adjacent intervals. We apply a risk assessment tool to research on the risk of the surplus profit. To investigate whether a generation schedule is profitable or...
Hydropower producer is a participant with relative higher risk than thermal's in respect of bidding to spot electricity market, since regulating storage is limited and is required to keep long-term valid. This paper provided a framework to obtain optimal bids for hydropower producer as a price-taker. The bidding model was established and a simple yet important optimization bidding equation was derived...
This paper proposed an improved diploid genetic algorithm (DGA) to solve the nonlinear optimization problem for hydropower producer to obtain realistic and feasible bid in electricity market. The influence of mutation operator on population diversity in DGA was analyzed by introducing an average schema similar rate as the measure criteria. It showed that DGA had a better performance than HGA in terms...
Three Gorges (TG) cascade stations plays an important role in power system, which is a major power supply station burdened with trades between multi-provincial grids. Hydropower Scheduling Decision Support System (TGDSS) is developed to improve scientific and economy of reservoir operation. In order to increase comprehensive benefit of TG Project, the practical models of joint scheduling, peak regulation...
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