Abstract
To improve the controllability of the electric power output and the economic performance of a large-scale wind farm, an auxiliary energy storage system is required. This paper deals with the rule of planning reasonable energy storage power and capacity based on the historical annual mean wind speed data, the probability density of the pulsating wind power output, and the warranted firm power provided by the wind farm. Specifically, the evaluation index of the fluctuation degree of the firm power is defined in order to optimize the planned energy storage capacity. After that, the firm power escalation affected by the energy storage power and the conversion rate of the storage device are quantitatively evaluated. All of these analyses contribute in a significant way towards determining the acceptable energy conversion rate with the condition of limited energy storage space of a wind-storage hybrid power system. The proposed evaluation method of the firm power escalation is verified by MatLab simulation results.
Highlights
Installed wind energy capacity is growing rapidly throughout the world because it is readily available, environmentally friendly, and cost effective in all manners [1,2]
The wind energy is poor, and the accumulated wind energy energy cannot compensate for the wind power shortage for long even if the energy storage power cannot compensate for the wind power shortage for long even if the energy storage power is is increased to μ+
When analyzing how the firm power is affected by the energy conversion rate, the ideal assumption of the initial wind power data is satisfied, and the number of non-zero-valued sampling points of positive and negative pulsating power components are just equal, which is expressed as follows: (
Summary
Installed wind energy capacity is growing rapidly throughout the world because it is readily available, environmentally friendly, and cost effective in all manners [1,2]. A rule for planning reasonable energy storage power and capacity is discussed in this paper as a way to improve the economic performance of a large-scale wind farm; these factors affect the reserve cost, and the wind farm power output by regulating performance. [9], a method was proposed to compute the required energy storage capacity for long-term stable power output of a large-scale wind farm based on the characteristic function of a wind power generation unit’s output power and the probability distribution function of wind speed in the wind farm. In this paper, the computing rule is based on the historical annual mean wind speed data, the probability density of the pulsating wind power output, and the warranted firm power provided by the wind farm. The designed storage device parameters will be more significant
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