| 摘要: |
| 建立了动态无功优化数学模型，提出用遗传算法对负荷曲线进行优化分段的方法。提出的地区电网无功优化控制基于现有地调自动化系统，利用遗传算法求解整个电网的无功优化问题，并根据优化结果给出控制方案，指导各个变电站VQC建立合理的限值。该方法克服了各变电站无功、电压就地最优控制的弊端，节电效益显著。在确定VQC上下限时，将每一时段的预测负荷定义为模糊数，在一定的置信水平下精确化，可计算出对应的无功调节范围。设计了无功优化控制系统的软件体系结构，编写了无功优化程序，并在某地区电网的应用中验证了方法的有效性。经过优化计算，系统各母线电压满足约束条件，在满足控制设备投切次数限制的条件下，降低了电能损耗。有功损耗比优化前下降4．96％。 |
| 关键词: 电力系统 无功优化 遗传算法 短期负荷预测 |
| DOI：10.11841/j.issn.1007-4333.2004.05.130 |
| 修订日期：2004-04-27 |
| 基金项目: |
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| Reactive power optimization in district power system |
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| Abstract: |
| Dynamic reactive power optimization model is established in this study. A new approach utilizing genetic algorithm to auto-separate load curve in segments is proposed. Genetic algorithm has been used to complete the reactive power optimization. It is studied how to build appropriate VQC limits according to the calculation of reactive power optimization. When deciding VQ limits of VQC, the forecasting load of every period of time is defined as a fuzzy number, which turned exact one by a certain believe level to calculate the range of reactive control. The software structure of the reactive power control system is designed in this paper. The reactive power optimization program has been validated in a district power system. The power loss dropped by 4.96% after optimization in a district power system. |
| Key words: power system,reactive power optimization,genetic algorithm,short-term load forecasting |
