火电深度调峰改造近似动态规划方法

doi:10.16182/j.issn1004731x.joss.20-0127

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (6): 1415-1426.doi: 10.16182/j.issn1004731x.joss.20-0127

火电深度调峰改造近似动态规划方法

孙伟卿¹, 宋赫¹, 韩冬¹, 田坤鹏²

1.上海理工大学机械工程学院,上海 200093;
2.上海理工大学光电信息与计算机工程学院,上海 200093

收稿日期:2020-03-18 修回日期:2020-05-07 出版日期:2021-06-18 发布日期:2021-06-23
作者简介:孙伟卿(1985-),男,博士,副教授,研究方向为电力系统规划、智能电网、储能技术等。E-mail：sidswq@163.com
基金资助:
国家自然科学基金(51777126)

Deep Peak-shaving Transformation Planning of Thermal Power Units Based on Approximate Dynamic Programming

Sun Weiqing¹, Song He¹, Han Dong¹, Tian Kunpeng²

1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
2. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2020-03-18 Revised:2020-05-07 Online:2021-06-18 Published:2021-06-23

摘要/Abstract

摘要： 可再生能源发电具有较强的随机性,针对火电机组灵活性不足而导致的调峰问题,提出对火电机组内部改造、配置储能和两者共同改造3种改造方案,计及火电深度调峰运行的附加成本,建立考虑机组组合问题的火电深度调峰改造规划模型,提出策略迭代近似动态规划法(Strategy Iteration Approximate Dynamic Programming,SI-ADP)对模型进行解耦求解,采用近似值函数替代传统动态规划法中精确值函数,有效避免“维数灾”发生。以改进的case9节点系统验证模型和方法的有效性,结果表明：利用SI-ADP方法求解该模型可以得到不同改造方案下经济性最优的改造策略。

关键词: 火电机组灵活性, 深度调峰改造, 近似动态规划, 可再生能源消纳, 储能, 机组组合

Abstract: The generation of renewable energy has great randomness. The lack of flexibility of thermal power unit leads to the problem of peak adjustment. Three reformation schemes for thermal power units, including the thermal power unit internal transformation, configurating energy storage, and joint transformation of the two are proposed. Taking into account the additional cost of thermal powerunit in the deep peak regulation, the planning model of thermal power units depth peak-shaving transformation considering the unit combination is proposed, and the strategy iteration approximate dynamic programming algorithm to decouple the model is presented. The “curses of dimensionality” can be avoided effectively by replacing the exact value function in DP method with the approximate value function. Case study on improved 9-bus test system shows that the proposed model and method are effective. The results show that using SI-ADP to solve the model can obtain the economic optimal transformation strategy under different transformation schemes.

Key words: flexibility of thermal power units, deep peak-shaving transformation, approximate dynamic programming, renewable energy consumption, energy storage, unit commitment

中图分类号:

孙伟卿, 宋赫, 韩冬, 田坤鹏. 火电深度调峰改造近似动态规划方法[J]. 系统仿真学报, 2021, 33(6): 1415-1426.

Sun Weiqing, Song He, Han Dong, Tian Kunpeng. Deep Peak-shaving Transformation Planning of Thermal Power Units Based on Approximate Dynamic Programming[J]. Journal of System Simulation, 2021, 33(6): 1415-1426.

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火电深度调峰改造近似动态规划方法

Deep Peak-shaving Transformation Planning of Thermal Power Units Based on Approximate Dynamic Programming

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