摘要
相比单一的光伏或风能独立供电系统,风光互补发电系统利用风能和太阳能的互补特性,其输出功率波动小,能很好地适应环境的变化。针对独立风光柴储微电网电源容量优化配置问题,建立了设备初始投资成本、运行和维护成本、燃料成本和污染物治理费用经济性模型,同时在优化过程中引入了停电惩罚费用与能量浪费惩罚费用模型,以总投资最少为目标函数,以供电可靠性、风光互补、蓄电池充放电次数等为约束条件,采用遗传算法探讨系统中各个电源在给定调度策略下最优容量配置。该方法充分利用风光互补特性,只需较小的蓄电池和柴油发电机容量即可保证高供电可靠性,并减少了蓄电池的充放电次数和放电深度。算例验证了模型和算法的合理性。
Compared with a single standalone photovoltaic or wind power systems, wind and solar complementary characteristics were used by hybrid wind-solar power generation system, the output power fluctuation was smaller, it could adapt to environmental changes. For the optimal sizing problem of solar-wind-diesel-battery hybrid microgrid,the economic model of optimal sizing was built with the objective that takes daily costs of equipment, operation and maintenance, fuels, environment protection into account. Meanwhile the blackout penalty fee and wasted energy penalty fee also were included in the economic model. The optimal capacity configurations of different power sources in the system were solved by genetic algorithm under optimal investment condition and considering constraints of the reliability of power supply, the complementary of wind and solar, battery charge and discharge times. The proposed method took fully advantage of the complementary characteristic of wind and solar, could achieve a high power supply reliability while require less battery capacity in standalone mode. Moreover, the depth of discharge and charge/discharge cycles of battery was reduced. The reasonableness of the proposed models was verified by case study results.
出处
《电源技术》
CAS
CSCD
北大核心
2016年第3期610-613,616,共5页
Chinese Journal of Power Sources
关键词
微网系统
优化配置
经济性
遗传算法
microgrid system
optimal allocation
economy
genetic algorithm
