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| 摘要: |
| 在电力市场条件下，传统无功优化的目标函数应做相应的修改，由原来的一次能源消耗量最小转变为经济利益最大。由于无功电量要定价，所以电网公司购买的无功电量应计入目标函数。同时．无功优化对电网公司购买有功电量也会产生很大的影响，通过改进遗传算法对新的目标函数进行优化。具体算例表明，新的无功优化数学模型可行，并具有很好的经济性。 |
| 关键词: 电力市场 无功优化 改进遗传算法 |
| DOI： |
| 分类号:TM73 F123.9 |
| 基金项目: |
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| Research of reactive power optimization in power market |
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LIU Han SHENG Zhao-jun
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| Abstract: |
| In electricity power markets,the traditional objective function of reactive power opti-mization should be changed from minimum consumption of primary power to maximum economic profit,in which the reactive power purchased by Grid Corporation should be counted. Furthermore,reactive power optimization has great effect on the purchased active power of Grid Corporation. The improved genetic algorithm optimizes the new objective function. A typical example indicates that the new mathematical model for reactive power optimization is feasible,and possesses good economy. |
| Key words: electricity market,reactive power optimization,improved genetic algorithm |
