考虑功率偏差的工业园区光伏与储能联合优化

郑熠旻

doi:10.16513/j.cnki.10-1427/tk.2019.03.003

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分布式能源 ›› 2019, Vol. 4 ›› Issue (3) : 16-20. DOI: 10.16513/j.cnki.10-1427/tk.2019.03.003

学术研究

考虑功率偏差的工业园区光伏与储能联合优化

郑熠旻

作者信息 +

Joint Optimization of Photovoltaic and Energy Storage in Industrial Parks Considering Power Deviation

Yimin ZHENG

Author information +

文章历史 +

摘要

工业园区具有厂房屋面面积大，光伏发电时间与用电高峰重合的特点，配置光储联合系统后能有效降低购电成本，减小光伏对系统的冲击，并在电力市场环境下降低功率偏差带来的经济损失。为得到基于最优储能调度策略下光储联合系统配置方案，以降低购电费用、功率偏差惩罚和线路损耗为目标，建立基于电力市场环境下的光储联合系统优化模型，同时优化光伏和储能的配置容量及储能的调度策略；以工业园区典型日负荷数据为研究对象，分析价格因素和功率偏差水平对配置结果的影响，得到了实际可行的光储配置方案，仿真结果表明，配置合理的光储容量能有效降低成本。

Abstract

The industrial park has the characteristics of large roof area and coincidence of photovoltaic power generation time and peak power consumption. Photovoltaic energy storage system can effectively reduce the cost of electricity purchase, the impact of photovoltaic system, and the economic losses caused by power deviation in the power market environment. In order to obtain the configuration scheme of photovoltaic energy storage system based on optimal energy storage scheduling strategy, aiming at reducing power purchase cost, power deviation penalty and line loss, this paper establishes an optimization model of photovoltaic energy storage system based on power market environment, and optimizes the allocation capacity of photovoltaic and energy storage as well as the scheduling strategy of energy storage. Taking typical daily load data of industrial parks as the research object, the impact of price factors and power deviation level on the configuration results is analyzed, and a practical and feasible photovoltaic energy storage configuration scheme is obtained. The simulation results show that a reasonable photovoltaic storage capacity can effectively reduce the cost.

导出引用

郑熠旻. 考虑功率偏差的工业园区光伏与储能联合优化[J]. 分布式能源. 2019, 4(3): 16-20 https://doi.org/10.16513/j.cnki.10-1427/tk.2019.03.003

Yimin ZHENG. Joint Optimization of Photovoltaic and Energy Storage in Industrial Parks Considering Power Deviation[J]. Distributed Energy Resources. 2019, 4(3): 16-20 https://doi.org/10.16513/j.cnki.10-1427/tk.2019.03.003

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