| 引用本文: | 张 峰,董晓明,梁 军,韩学山,孙 华,刘 宁.一种求解最小负荷裕度的混合算法[J].电力自动化设备,2013,33(9): |
| ZHANG Feng,DONG Xiaoming,LIANG Jun,HAN Xueshan,SUN Hua,LIU Ning.Hybrid algorithm to calculate minimum load margin[J].Electric Power Automation Equipment,2013,33(9): |
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| 摘要: |
| 提出一种求解静态电压稳定约束条件下最小负荷裕度的混合算法。针对连续潮流算法，提出一种快速有效的极限诱导型分岔识别方法，计及无功补偿设备的投切对负荷裕度的影响，利用负荷增量功率因数约束负荷增长方向，计及发电机无功约束改进自适应步长控制策略。针对粒子群优化算法，采用变权重系数和变学习因子策略，提出一种早熟判据在一定的概率条件下对粒子进行变异，结合模拟退火过程避免算法陷入局部最优。测试算例结果验证了算法的有效性。 |
| 关键词: 电力系统 负荷裕度 连续潮流 模拟退火 粒子群优化 模型 |
| DOI： |
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| Hybrid algorithm to calculate minimum load margin |
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ZHANG Feng1, DONG Xiaoming1, LIANG Jun1, HAN Xueshan1, SUN Hua2, LIU Ning3
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1.School of Electrical Engineering，Shandong University，Ji’nan 250061，China;2.Department of Electrical and Automation，Shandong Labor Vocational and Technical College，Ji’nan 250022，China;3.Dezhou Power Supply Company of Shandong，Dezhou 253008，China
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| Abstract: |
| A hybrid algorithm is proposed to calculate the minimum load margin under the constraint of static voltage stability. A fast and efficient method is proposed to identify the limit induced bifurcation for the continuation power flow method，which considers the impact of reactive compensation device switching on load margin，applies the power factor of load increment to constrain the direction of load growth，and takes the generator reactive constraint into account to improve the adaptive step control strategy. A variable weight coefficient and variable learning factor strategy is adopted for the particle swarm optimization method，which applies a precocity criterion to carry out the particle variance with a certain probability and combines with the simulated annealing process to prevent local optimization. Case test verifies the effectiveness of the proposed algorithm. |
| Key words: electric power systems load margin continuation power flow simulated annealing particle swarm optimization models |
