基于可靠性的径向配电系统多目标DG和电容器配置

2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON) Pub Date : 1900-01-01 DOI:10.1109/UPCON.2016.7894696

Vivekananda Haldar, N. Chakraborty

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引用次数: 6

摘要

配电系统的可靠性已得到提高，通过实施DG渗透和电容器布置，经济地减少了能量损失。采用鱼群电定位优化(FEO)和改进文化算法(MCA)两种新颖的进化计算技术对径向配电系统进行基于成本的可靠性改进。采用实编码遗传算法(rcGA)、粒子群优化算法(PSO)、鱼群电定位优化算法(FEO)和改进文化算法(MCA)作为单目标优化方法，对可靠性提高、能量损失和总成本最小化进行了研究。FEO和MCA得到的结果是有希望的。考虑配电系统可靠性指标SAIFI、SAIDI和AENS以及总成本和能量损失，进行了多目标优化。利用有效的MCA和FEO方法找到了Pareto最优解。结果表明，FEO得到的非支配解优于MCA得到的非支配解。

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Reliability based multi-objective DG and capacitor allocation in radial distribution system

Distribution system reliability has been improved economically reducing energy loss by performing DG penetration and capacitor placement. Two novel evolutionary computation techniques called Fish Electrolocation Optimization (FEO) and Modified Cultural Algorithm (MCA) have been implemented for performing cost based reliability improvement in radial distribution system. Reliability improvement, energy loss and total cost minimization have been studied as single objective optimization by real coded Genetic Algorithm (rcGA), Particle Swarm Optimization (PSO), Fish Electrolocation Optimization (FEO) and Modified Cultural Algorithm (MCA). The results obtained by FEO and MCA are promising. Multi-objective optimization has been performed considering distribution system reliability index SAIFI, SAIDI and AENS as well as total cost and energy loss. Pareto optimal solutions have been found out by effective MCA and FEO. It has been observed that the non dominated solutions obtained by FEO are better than the solutions achieved by MCA.

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来源期刊

2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON)

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