考虑碳排放成本的风光储多能互补系统优化运行研究

Research on optimal operation of wind-PV-ES complementary system considering carbon emission cost

为提高风电、光伏等新能源的消纳能力,提升多能互补微网系统运行经济性,提出了一种风光储多能互补微网系统并网日前调度的优化模型。模型的目标函数变量包括储能电池运行成本、系统弃风弃光成本、削负荷成本以及从上级电网购电成本,同时考虑到系统从上级电网购电将产生碳排放,基于此建立碳排放成本计算模型,并计入目标函数中。约束条件中考虑了储能电池充放电功率和容量、购售电功率平衡以及上级电网交换功率上限等约束。采用粒子群算法对模型进行求解。算例分析结果表明,所建模型能够充分考虑碳排放的环境因素以及系统实际运行特点,通过调节系统与上级电网的交换功率以及储能电池的充放电功率,能在实现系统运行成本最小的同时减少弃风弃光与削负荷情况。

An optimization model of day-ahead scheduling for micro-grid with wind-PV-ES complementary system is proposed to improve the absorptive capacity and power supply reliability of wind power and photovoltaic and the economy of multi energy complementary micro network system.The objective function of the model include the operating cost of the energy storage battery,the cost of the system abandoning the wind and light,the cost of cutting the load and the cost of purchasing electricity from the higher power grid,at the same time,considering the carbon emission from the higher power grid,the carbon emission cost model is established,and the cost of the carbon emission is included in the objective function of the model.Constraints of energy storage battery,power balance and switching limit with upper power grid are considered in the model as well.Particle Swarm Optimization(PSO)algorithm is used to solve the model.The result shows that the model can fully consider the environmental factors of carbon emission and the actual operating characteristics of the system;by adjusting the switching power between the system and the upper power grid and the charging and discharging power of the storage battery,the system can realize the minimum operating cost and reduce the discarding of the wind and light,as well as the cutting load of the system.