Abstract
Integrating a battery energy storage system (ESS) with a large wind farm can smooth the intermittent power obtained from the wind farm, but the smoothing function will not be achieved if multiple ESSs are used to smooth the fluctuations in individual wind power plants in a distributed pattern. Therefore, this study focuses on the development of a control strategy to optimize the use of multiple ESSs to accelerate the adoption of wind energy resources. This paper proposes a quasi-automated generation control (QAGC) strategy to coordinate multiple ESSs, which responds to the grid dispatch demand rather than smoothing out the intermittent power from individual wind farms. The aims of QAGC are to ensure that multiple ESSs provide a service that is as balanced as possible, so more wind power systems at various scales can be accepted by the grid, as well maximizing the low-carbon benefits of ESSs. The effectiveness of QAGC is demonstrated by using data from an actual gigawatt scale cluster of wind plants.
Highlights
Increasing the ratio of renewable energy in terminal consumption is an effective way of achieving a low-carbonCrossCheck date: 12 December 2014Several incentive policies for promoting wind energy have been issued in China
A quasi-automated generation control (QAGC) strategy is proposed for multiple energy storage system (ESS), which satisfies the power system control requirements for electric power and relaxes the bottleneck to accommodate the wind power in the grid
This approach regulates the performance of ESSs, broadens the scale of wind power systems accepted by the grid, and optimizes the low-carbon benefits of ESSs
Summary
Several incentive policies for promoting wind energy have been issued in China. In 2007, the National Development and Reform Commission, the Environmental Protection Administration, and the Energy Office jointly formulated the ‘‘Energy Generation Scheduling Approach (Trial Implementation)’’ [4], in which the wind power was highlighted as having the main scheduling priority. A control strategy based on a power system auxiliary service for large-scale ESSs is described, in which the offset effect that occurs with multiple ESSs is demonstrated when smoothing wind power fluctuations in a distributed pattern. A quasi-automated generation control (QAGC) strategy is proposed for multiple ESSs, which satisfies the power system control requirements for electric power and relaxes the bottleneck to accommodate the wind power in the grid This approach regulates the performance of ESSs, broadens the scale of wind power systems accepted by the grid, and optimizes the low-carbon benefits of ESSs. Due to space–time differences in the energy distribution, the wind power outputs vary among wind farms. The offset effect factor k reflects the ratio of the offset energy in the total charge and discharge energy with the distributed control
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