基于CVaR的能源互补联合系统优化配置模型研究

由于风电、光电出力具有不确定性,因此会引起电网频率的较大波动,严重影响电能质量.为了保证含有新能源电力系统的稳定运行,特提出风光水储联合调度优化模型.首先,建立含新能源的电力系统优化调度数学模型,该模型追求系统机组耗量最小.在进行含新能源发电的电力系统优化调度中,可被用来调度的出力实际为满足负荷功率后,扣除新能源输出功率的那部分火电机组出力.算例结果表明,本文采取CVaR具有良好的性能;风电与光伏清洁能源机组并入系统中增加了日前调度的不确定性风险,但通过CVaR评估计算系统风险,采取有效的措施会使系统发电成本减少与碳排放量减少.

Optimized configuration model for energy complementary joint system based on CVaR

The uncertainties of wind and photovoltaic power generation can cause large fluctuations in grid frequency, which seriously affects power quality. In order to ensure the stable operation of a power system with new energy, a joint scheduling optimization model for wind and photovoltaics is proposed. First, an optimal dispatching model for power systems with new energy is established with the objective of minimizing the consumption of units. In the optimized dispatch of power systems with new energy generation, the actual dispatchable output is the output of the thermal power unit after deducting the new energy output and meeting the load demand. Secondly, a risk assessment calculation is performed on the day-dispatch, and historical data of wind and photovoltaic power output are used in the CVaR assessment calculation. The example results show that CVaR has good performance. The integration of wind and photovoltaic power generation units increases the uncertainty of the day-ahead dispatch, but using CVaR to evaluate the system risk and taking effective measures can reduce power generation costs and carbon emissions.