低碳理念下用户侧储能多目标优化策略探究

Multi-objective optimization strategy for user-side energy storage under the concept of low carbon

低碳理念的提出,再加之不可再生能源储量的逐渐枯竭,使得可再生能源开发与利用成为国家发展战略关键内容之一。随着储能设备并入大电网数量的增加,电网运行环境愈加复杂。若是无法对储能设备进行合理配置,就会影响电网的安全运行,故提出用户侧储能多目标优化策略探究。深入探究用户侧负荷响应特点,通过场景缩减方法提取用户侧负荷典型场景曲线,以此为基础,构建用户侧储能多目标(外层与内层)优化配置模型,并阐述对应的约束条件,联合应用遗传算法与MOEA/D算法求解模型,求解结果即为最佳储能优化配置策略。实验数据显示:提出策略应用后,电网运行成本最小值为623万元,负荷波动方差最小值为500 MW,节点电压偏差量最小值为9 V,充分证实提出策略应用效果更佳。

The proposal of low carbon concept and the gradual depletion of non-renewable energy reserves make the development and utilization of renewable energy one of the key elements of the national development strategy.With the increase of the number of energy storage equipment incorporated into the large power grid,the operating environment of the power grid becomes more complex.If the energy storage equipment cannot be reasonably configured,it will affect the safe operation of the power grid.Therefore,a multi-objective optimization strategy for energy storage at the user side is proposed.In-depth explore the characteristics of user-side load response,extract the typical scenario curve of user-side load through the scenario reduction method,build a multi-objective(outer and inner) optimal configuration model of user-side energy storage,and elaborate the corresponding constraints,and jointly apply genetic algorithm and MOEA/D algorithm to solve the model,and the solution result is the optimal energy storage optimal configuration strategy.The experimental data shows that after the proposed strategy is applied,the minimum operating cost of the grid is 6.23 million yuan,the minimum variance of load fluctuation is 500MW,and the minimum deviation of node voltage is 9V,which fully proves that the proposed strategy has better application effect.