Dispatchable solar photovoltaic power generation planning for distribution systems

Dispatchable solar photovoltaic power generation planning for distribution systems
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配电系统可调度太阳能光伏发电规划

DOI:
10.1109/iciinfs.2017.8300337
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发表时间:
2017
期刊:
2017 IEEE International Conference on Industrial and Information Systems (ICIIS)
影响因子:
--
通讯作者:
K. R. Niazi
K. R. Niazi
中科院分区:
--
文献类型:
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作者:
N. K. Meena;A. Swarnkar;N. Gupta;K. R. Niazi

文献摘要

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本文提出了太阳能光伏发电规划和管理的两个多年优化框架,以使其可调度,同时最大化投资的净现值:1)电池储能与太阳能光伏发电的同时优化规划,2)太阳能光伏发电的聚合容量规划具有特殊开关安排。在第一个框架中,提出了一种新的电池管理算法和约束条件,而太阳能光伏发电的总容量被确定为最小化可再生能源电力削减成本。为了求解所提出的优化模型,采用了改进的遗传算法。所提出的框架实施和研究的标准33总线径向配电系统和仿真结果进行了比较,通过传统的规划模型获得相同的。比较结果表明,所提出的规划方法最大化的净现值的投资显着,同时提高了系统的性能。
The paper presents two multi-year optimization frameworks for solar photovoltaic power generation planning and management to make it dispatchable while maximizing the net present value of the investment: 1) simultaneous optimal planning of battery energy storage with solar photovoltaics, 2) aggregated capacity planning of solar photovoltaic with special switching arrangements. In first framework, a new battery management algorithm and constraints are suggested whereas, an aggregated capacity of solar photovoltaics is determined to minimize the renewable power curtailment cost. To solve the proposed optimization models, an improved variant of genetic algorithm is adopted. The proposed frameworks are implemented and investigated on a standard 33-bus radial distribution system and the simulation results are compared with that of the same obtained by conventional planning models. The comparison results show that the proposed planning approaches maximize the net present value of the investment significantly while simultaneously improving the system performance.