Improved configuration optimization of PV-wind-storage capacities for grid-connected microgrid

被引：0
|
作者：
Dou X. [1 ]
Yuan J. [1 ]
Wu Z. [1 ]
Ni Y. [2 ]
Fan C. [2 ]
Xiao Y. [1 ]
机构：
[1] School of Electrical Engineering, Southeast University, Nanjing
[2] Electric Power Automation Research Institute of China Electric Power Research Institute, Beijing
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2016年 / 36卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Capacity configuration; Energy dispatch strategy; Energy storage; Genetic algorithms; Microgrid; Optimization; Photovoltaic; PV-wind-storage system; Wind power;
D O I：
10.16081/j.issn.1006-6047.2016.03.005
中图分类号：
学科分类号：
摘要：
The reasonable capacity configuration of wind turbine, PV (PhotoVoltaic) and energy storage in a microgrid is the prerequisite of its reliable and economical operation. For the grid-connected microgrid, two commercially operating modes are proposed according to the existing operating mode of distributed PV system. A comprehensive energy dispatch strategy is designed to fully use the resources of power distribution network and enhance the islanding ability of microgrid. For the objective function of a wind-PV-storage capacity configuration model comprehensively considering the economy, reliability and renewable energy usage rate of microgrid, a calculation method combining with the operating mode and dispatch strategy is proposed. For the engineering applications, a method for calculating the power limit of tie line to meet the operational specifications of power system and the friendly connection conditions of microgrid is elaborated, which is used as the constraint of the configuration model. An improved genetic algorithm based on the limited searching area and increased random individuals is presented to solve the configuration model. A simulative analysis is carried out based on the wind-PV resource data of an island in Jiangsu province to verify the effectiveness and superiority of the proposed PV-wind-storage capacity configuration method. © 2016, Electric Power Automation Equipment Press. All right reserved.
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页码：26 / 32
页数：6
相关论文
共 14 条
  • [1] Ma X., Wu Y., Fang H., Et al., Optimal sizing of hybrid solar-wind distributed generation in an islanded microgrid using improved bacterial foraging algorithm, Proceedings of the CSEE, 31, 25, pp. 17-25, (2011)
  • [2] Ding M., Wang B., Zhao B., Et al., Configuration optimization of capacity of standalone PV-wind-diesel-battery hybrid microgrid, Power System Technology, 37, 3, pp. 575-581, (2013)
  • [3] Eftiehios K., Dionissia K., Antonis P., Et al., Methodology for optimal sizing of standalone photovoltaic/wind-generator systems using genetic algorithms, Solar Energy, 80, 9, pp. 1072-1088, (2006)
  • [4] Jiang Q., Shi Q., Li X., Et al., Optimal configuration of standalone wind-solar-storage power supply system, Electric Power Automation Equipment, 33, 7, pp. 19-26, (2013)
  • [5] Liu M., Wang C., Guo L., Et al., An optimal design method of multi-objective based island microgrid, Automation of Electric Power Systems, 36, 17, pp. 39-44, (2012)
  • [6] Dufo-Lopez R., Jose L., Agustin B., Et al., Multi-objective optimization minimizing cost and life cycle emissions of standalone PV-wind-diesel systems with batteries storage, Applied Energy, 88, 11, pp. 4033-4041, (2011)
  • [7] Saif A., Elrab K.G., Zeineldin H.H., Et al., Multi-objective capacity planning of a PV-wind-diesel-battery hybrid power system, 2010 IEEE International Energy Conference, pp. 217-222, (2010)
  • [8] Wang J., Chen J., Shu H., Microgrid capacity configuration optimization based on reliability, Electric Power Automation Equipment, 34, 4, pp. 120-127, (2014)
  • [9] Chedid R., Rahman S., Unit sizing and control of hybrid wind-solar power systems, IEEE Trans on Energy Conversion, 1, 12, pp. 79-85, (1997)
  • [10] Menniti D., Pinnarelli A., Sorrentino N., A method to improve microgrid reliability by optimal sizing PV/wind plants and storage systems, The 20th International Conference on Electricity Distribution, pp. 8-11, (2009)
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