Abstract
The volatility of wind makes the forecasting of wind speed unreliable. The inaccurate forecast in wind speed always leads to generation imbalance and causes Wind Generating Companies’ (WGenCOs) losses in the intrahour market. In contrast to wind power, Hydrogenerating Companies (HGenCOs) can utilize the reservoir volume to settle the fluctuation of water inflow easily. When treated as a specialized Spinning Reserve (SR) unit for wind power, hydropower can help to settle the generation imbalance and obtain more profit in the power market for both power plants. In this paper, the author establishes a coordination scheduling model of wind-hydro alliance which covers the day-ahead market and the intrahour market. First, to evaluate the deviation of the wind-hydro generation in the intrahour market, an imbalance charge rule considering each period of schedule horizon is constructed. Second, the author introduces two parameters to control the resources that hydropower can use to coordinate with wind power. Finally, the author introduces the Shapley value method to allocate the profit of the alliance which comprises several independent entities fairly. For the simulation of uncertainties, the scenario-based approach is used to simulate the water inflow of a reservoir considering the Monte Carlo (MC) method. The wind speed for the intrahour market is forecasted with the Autoregressive Integrated Moving Average (ARIMA) model. Simulations are implemented, and the results show that when treated as an SR unit for wind power, hydropower can diminish the imbalance charges significantly and will improve the revenue of the wind-hydro alliance. Furthermore, the coordination operation also helps reduce the spillage of the reservoir and the curtailment of the wind power to achieve better utilization of renewable energy.
Highlights
Academic Editor: Giacomo Falcucci e volatility of wind makes the forecasting of wind speed unreliable. e inaccurate forecast in wind speed always leads to generation imbalance and causes Wind Generating Companies’ (WGenCOs) losses in the intrahour market
In contrast to wind power, Hydrogenerating Companies (HGenCOs) can utilize the reservoir volume to settle the fluctuation of water inflow
For the simulation of uncertainties, the scenario-based approach is used to simulate the water inflow of a reservoir considering the Monte Carlo (MC) method. e wind speed for the intrahour market is forecasted with the Autoregressive Integrated Moving Average (ARIMA) model
Summary
A two-stage optimal model for the coordination operation of wind power and hydropower is proposed, in which the volatilities of water inflow are simulated while energy price and wind power for schedule horizon are forecasted. E former achieves it by calibrating the power outputs in the day-ahead market without changing the reservoir volume consumed and the latter consumes more reservoir volume in the intrahour market When both power plants operate alone, the author builds a model for the uncoordinated scheduling. To get the correct water consumption for the uncoordinated case, the research must first obtain the optimal decision the intrahour market when both power plants coordinate. In the first-stage case, the optimal problem is initialized with the wind speed, water inflow, and energy prices set as inputs for both power plants, and the parameter σ is set according to the preference of the decision maker. ProfithDyAdo·uc and ProfithRyTdro·uc are the day-ahead and the intrahour revenue of hydropower when it runs alone, while wPrhoefnitwDitiAnrdu·unc saanldonPer. opfriotwRfTiintdcDo·uAc are the revenue of wind power + profitcRoT is the total revenue of both power plants when they operate jointly.
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