Optimizing distributed generation parameters through economic feasibility assessment
Optimizing distributed generation parameters through economic feasibility assessment
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DOI：
10.1016/j.apenergy.2016.01.006
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发表时间：
2016-03
期刊：
影响因子：
11.2
通讯作者：
K. Muttaqi;A. Le;J. Aghaei;Esmaeil Mahboubi-Moghaddam;M. Negnevitsky;G. Ledwich
中科院分区：
文献类型：
--
作者：
K. Muttaqi;A. Le;J. Aghaei;Esmaeil Mahboubi-Moghaddam;M. Negnevitsky;G. Ledwich
为了满足快速增长的电力需求，传统的电网解决方案往往是扩建现有的变电站，新建更多的变电站，建设输电线路。分布式发电作为电网供应商的一种替代方法，不仅可以适应负荷的增加和缓解网络过载，而且还可以提供其他额外的技术和经济效益。本文解决了DG规划问题，并提出了一种优化DG大小和位置的技术，以最大限度地减少系统的总体投资和运营成本。建议的优化方法评估不同发电方案在成本因素方面的兼容性，这些成本因素可以由DG显著贡献。供电质量成本、可靠性成本、电能损耗成本、电力总运行成本和DG投资成本是DG选址和规模规划的关键成本组成部分。采用粒子群优化（PSO）方法求解DG规划的最优解。最后，在澳大利亚某电网的配电馈线上对该方法进行了测试。仿真结果验证了该方法的可行性和有效性。
To meet the fast growth of electricity demand, the traditional network solution tends to expand existing substations, build more new substations, and build transmission lines. Distributed Generation (DG) is posed as an alternative method for the network providers not only to accommodate the load increase and relieve network overload, but also to offer other additional technical and economic benefits. This paper addresses the issue of DG planning and has proposed a technique for optimizing the DG size and location to minimize the overall investment and operational cost of the system. The proposed optimization methodology assesses the compatibility of different generation schemes in terms of their cost factors that can be significantly contributed by a DG. The direct and indirect costs of power supply quality, reliability, energy loss, total power operation, and DG investment are used as key cost components of the DG siting and sizing strategy. The Particle Swarm Optimization (PSO) method is applied to obtain the optimal DG planning solutions. Finally, the proposed approach is tested on a distribution feeder of an Australian power network. Simulation results are presented to illustrate the feasibility and effectiveness of the proposed method.