考虑异质能源时空互补特性的风光最大消纳策略研究

Research on Wind and Photovoltaics Maximum Consumption Strategy Considering Space-time Complementary Characteristics of Heterogeneous Energy Sources

单一考虑最小发电成本造成弃风、弃光,而只关注风电、光伏等新能源最大消纳量容易造成电力系统不稳定。为了解决上述矛盾,首先分析了风、光、水、火异质能源之间的时空互补特性;然后以总发电成本最小化和风电、光伏消纳量最大化为双目标,考虑负荷平衡和各发电机组约束条件,建立了多目标电力系统优化调度模型,并利用模拟退火法进行模型优化。最后以某地区电网为例进行了仿真分析与计算,优化计算结果表明,利用异质能源之间的时空互补特性,在满足负荷需求和系统备用要求等前提下,提高了风、光消纳量,减少了化石燃料的消耗,验证了该模型在控制发电成本和增加风、光消纳方面的有效性。

Considering the minimum power generation cost alone will result in the abandonment of wind and solar power.If only focusing on the maximum output of renewable energy power generation such as wind power and photovoltaics,it is easy to cause the instability of the power system.In order to solve the above contradiction,the spatiotemporal complementary characteristics of wind,light,water and fire heterogeneous energy sources are first analyzed.Then,taking the total power generation cost and the maximum consumption of wind power and photovoltaic as the dual goals,considering the load balance and the constraints of each generator set,a multi-objective power system optimization scheduling model is established,and the model optimization method is carried out by simulated annealing.Finally,the simulation analysis and calculation are carried out on the example of a regional power grid.The optimization results show that the spatiotemporal complementarity between heterogeneous energy sources is used to improve the wind and solar absorption and reduce the consumption of fossil fuels under the premise of meeting load demand and system backup requirements.The calculation results verify the effectiveness of the model in controlling the cost of power generation and increasing wind and solar consumption.