基于改进遗传算法的主动配电网优化定价策略研究OA北大核心CSTPCD
Research on optimal pricing strategy of active distribution network based on improved genetic algorithm
由于传统的主动配电网优化定价策略没有设置等式和不等式约束条件,使电力定价超过设定的最高限值,降低了定价效率,基于此,研究了一种基于改进遗传算法的主动配电网优化定价策略.首先将最优的机组有功费用和无功费用作为目标建立目标函数,即定价优化策略模型,然后设置其等式约束条件和不等式约束条件,使电力定价不超过设定的最高限值,最后在约束条件下利用改进后的遗传算法对最优定价策略模型进行求解,获取最优定价.实验结果表明,所研究方法在大于设定的价格下限0.5元/(kW·h)的基础上,定价更高一点,基于电力企业角度,说明所研究方法优化后的主动配电网定价更为合理,并且定价效率较高.
Because the traditional active distribution network optimal pricing strategy does not set equality and ine-quality constraints,the power pricing exceeds the set maximum limit and reduces the pricing efficiency.On this ba-sis,an optimal pricing strategy of active distribution network based on improved genetic algorithm is studied.First-ly,the optimal unit active power cost and reactive power cost are taken as objectives to establish an objective func-tion,that is,a pricing optimization strategy model.And then,the equality and inequality constraints are set so that the power price does not exceed the set maximum limit.Finally,under constrained conditions,the improved genet-ic algorithm is used to solve the optimal pricing strategy model to obtain the optimal pricing.The experimental re-sults show that the research method is priced a little higher on the basis of 0.5 yuan/(kW·h)greater than the set price lower limit.From the perspective of power companies,it shows that the proposed optimal pricing method of active distribution network is more reasonable,and the pricing efficiency is higher.
谢虎;杨占杰;张伟;何超林;谢型浪;潘睿
南方电网数字电网研究院有限公司,广州 510670南方电网深圳数字电网研究院有限公司,广东深圳 518000
动力与电气工程
线性化最优潮流主动配电网电力价格优化策略改进遗传算法
linearized optimal power flowactive distribution networkelectricity priceoptimal strategyimproved genetic algorithm
《电测与仪表》 2024 (007)
116-122 / 7
南方电网有限责任公司科技项目(670000KK52200101)
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