大型风电场的控制性能评价标准及储能控制策略研究

A Research on the Control Performance Standard and Energy Storage Control Strategy for Large Scale Wind Farms

为提高大型风电场并网可靠性,该文基于严密的数学统计方法,提出了一种以控制风电场出线功率控制偏差(wind power control error,WPCE)为考核目标的风电场控制性能评价标准(wind control performance standard,WCPS)。该标准以随机变量统计特性为依据制定,着眼于长期的控制性能,更能如实描述和反映风电出力随机性和不确定性的特点和要求,达到更好的控制目的。基于WCPS标准,提出了风电场配置的储能系统的充放电控制策略,以平抑风电出力波动性,提高风电的消纳能力。最后,以某风电场日负荷数据为例验证该控制标准和控制策略的可行性和有效性。仿真结果表明,所提控制策略大幅减小了风电预测误差,有效地减少储能系统的充放电调节次数,缓解备用机组的负担,降低电网调节成本,提高电网对风电的吸纳能力,对电力市场模式下的风电场接入系统具有指导意义。

In order to improve the reliability of large-scale wind farms, this paper proposed a wind control performance standard （WCPS） to assess wind power control error （WPCE）, based on rigorous statistical methods. The standard is based on the statistical characteristics of random variables, focusing on the long-term control performance. It can more accurately describe and reflect the wind power output characteristics of randomness and uncertainty than the traditional evaluation standard, and get better control effect. In order to stabilize the volatility of wind power output, improve the absorptive capacity of wind power. This paper proposed a wind farm energy storage system charging and discharging control strategy, based on WCPS. Finally, a wind farm daily data as an example, to verify that the feasibility and effectiveness of the control standards and the control strategy. Simulation results show that the proposed control strategy 6ould greatly decrease the wind power prediction error, effectively reduce the storage of the charge and discharge system adjustment frequency, ease the burden on the standby unit, reduce the cost of adjustment of power grid, improve the power grid the absorbing capacity of wind power, guidance of wind farm connected to power system under electricity market model.