Abstract
The large-scale wind power introduces the challenge of the power demand and generation balancing. Energy-intensive load (EIL) is a promising option for peak shaving since it can change its production time and power demand without affecting its overall production. However, EIL which is discretely adjustable is unable to track the net load in real time. A two-stage complementary peak shaving strategy of EILs with the aid of battery energy storage systems (BESSs) is proposed to address this issue. This paper establishes an optimization model with the minimum system operation costs and wind curtailment costs as the objective function, in which EIL operation constraints and BESS power and energy balance constraints are added to the unit commitment model. And the neural network algorithm is used to solve this optimization problem. Finally, a system with a high proportion of wind power is adopted to analyze the functions of EIL and BESS in the method. It is verified that the proposed strategy can effectively reduce the amount of wind curtailment and the operation costs of the system.
Highlights
The demand for reducing fossil fuel consumption has led to rapid development of renewable energy, especially wind power
In this paper, a day-ahead and intraday coordinated peak shaving strategy based on discretely adjustable Energy-intensive load (EIL) and small-capacity battery energy storage systems (BESSs) is proposed
Considering the costs rise caused by the product output limitation of energy-intensive enterprises and changes in load operation period, an optimization model with the minimum operation costs is established
Summary
The demand for reducing fossil fuel consumption has led to rapid development of renewable energy, especially wind power. In order to improve the integrated capacity of wind power as much as possible, the peak shaving resources in the power grid should have a certain ability to track the net load change It makes the discretely adjustable EIL as a demand response resource that provides a large amount of power change cannot be fully utilized. Considering the investment and operation costs of energy storage systems, reference [15] proposed an operation strategy of a hybrid system including pumped storage and battery energy storage They respectively participate in the day-ahead dispatch and real-time control to realize the balance between generation and load and obtain maximum financial benefits. Considering the over-generation of wind power, it includes the day-ahead plan and the intraday correction to respectively schedule the discretely adjustable EILs and BESSs during each dispatch interval. The proposed mothed can effectively improve the integration of wind power and reduce system operation costs
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