摘要
受风况、风电机组性能和电网性能的影响,大规模风电并网会引起电压波动。由于风能具有不可控、随机性和间歇性等特点,到目前为止还无法准确预测风电出力,这使得包含风电接入的潮流运算更加复杂,而且随机性也更强,传统算法很难获得准确可靠的解。以节点电压波动最小和有功功率损耗最小为目标,将改进粒子群算法引入到风电并网优化潮流计算中。以IEEE14节点系统为例,通过与原始粒子群算法比较证明本文所提模型和算法的有效性。该方法可以很好地减少无功损耗和抑制电压越界,具备一定的参考价值。
Affected by the wind regime, performance of wind turbine units and property of power system, largescale wind power integration can cause voltage fluctuation. The wind power has the characteristics of uncontrollability, randomness and intermittence, so the output of wind power can＇t be forecasted accurately, which makes the power flow calculation with wind power access become a more complicated and contiguous problem, and the conventional algorithm is difficult to obtain suitable solution. In this paper, the objective is the minimization of voltage fluctuation and active power loss, and the improved PSO algorithm is used to optimize power flow calculation with wind power integra- tion. Taking the 1EEE14 -- bus power system as study case, the effectiveness of proposed model and algorithm is verified by comparison with that of previous PSO algorithm. In addi-
出处
《现代电力》
2011年第6期87-91,共5页
Modern Electric Power
基金
国家自然科学基金项目(50767001)
高等学校博士学科点专项科研基金资助项目(20094501110002)
广西自然科学基金项目(2011jjA60017)
广西壮族自治区研究生教育创新计划项目(105930901001,105930904068)
关键词
含风电场电力系统:最优潮流
协调PSO算法
power systems with wind power integration
op-timum power flow
coordinated PSO algorithm
