| 基于二进制量子粒子群的含电动汽车主动配电网多目标重构 |
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| 引用本文： | 张涛,张东方.基于二进制量子粒子群的含电动汽车主动配电网多目标重构[J].电测与仪表,2018,55(9):42-47. |
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| 作者姓名： | 张涛 张东方 |
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| 作者单位： | 新能源微电网湖北省协同创新中心 三峡大学,新能源微电网湖北省协同创新中心三峡大学 |
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| 基金项目： | 国家自然科学基金项目（ 51407104） |
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| 摘 要： | 电动汽车(EV)在配网中的渗透率不断增加,影响到电网的经济性和稳定性。提出了适用于主动配电网(ADN)多目标重构的二进制量子粒子群算法(BQPSO),建立了有功网损、电压偏移指标(VSI)和开关操作次数的多目标优化数学模型,以确定接入分布式电源(DG)和电动汽车(EV)后系统的最佳重构方案,并在修改后的IEEE33节点配电系统中进行计算,通过与不同的算法进行对比,验证了本文方法的实用性和有效性。
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| 关 键 词： | 分布式电源 电动汽车 二进制量子粒子群 主动配电网重构 多目标优化 |
| 收稿时间： | 2017/5/21 0:00:00 |
| 修稿时间： | 2017/5/21 0:00:00 |
Multi-objective Reconstruction of Active Distribution Network with Electric Vehicle Based on Binary Quantum Particle Swarm Optimization |
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| ZHANG Tao and ZHANG Dongfang.Multi-objective Reconstruction of Active Distribution Network with Electric Vehicle Based on Binary Quantum Particle Swarm Optimization[J].Electrical Measurement & Instrumentation,2018,55(9):42-47. |
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| Authors: | ZHANG Tao and ZHANG Dongfang |
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| Affiliation: | Hubei Provincial Collaborative Innovation Center for New Energy Microgrid (China Three Gorges University),Hubei Provincial Collaborative Innovation Center for New Energy Microgrid (China Three Gorges University) |
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| Abstract: | The increasing of penetration rate of electric vehicle(EV) will affect the economy and stability to the distribution network. A binary quantum particle swarm optimization algorithm(BQPSO) which is suitable for multi-objective reconstruction of active distribution network(ADN) is put forward; the network loss, voltage deviation index(VSI) and the number of switching operation are set up as the multi-objective optimization mathematical model to determine the best reconstruction scheme with distributed generation (DG) and electric vehicles (EV),and calculated in the modified IEEE33 node distribution system, compared with different algorithms to verify the practicality and effectiveness of the proposed method. |
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| Keywords: | distributed generation electric vehicle binary quantum particle swarm optimization active distribution network reconfiguration multi-objective optimization |
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