哈尔滨工业大学工学硕士学位论文
Abstract
With the adjustment of industrial structure, the power grid is facing the problem of increasing gap between peak and valley, increasing abrupt increase in intermittent new energy sources, and low investment and expansion of distribution network. In recent years, the electrochemical energy storage technology has developed rapidly, and the maturity, coupled with technical economy of the battery energy storage technology have been improved continuously. application conditions for the peak load shifting of the power grid are available.
This topic focuses on the battery energy storage issues related to the optimization of peak load shifting. On the basis of establishing and solving the single target power optimization model of peak load shifting of battery energy storage, this paper further constructs the optimization problem of multi-target peak load shifting of economy and wind power consumption, and carries out the corresponding optimization solution.
First, the battery energy storage system is involved in the optimization model of power grid peak load shifting, including the objective function of the peak cutting effect as the target. The physical constraints when the battery energy storage system is involved in the peak load shifting and the battery energy storage system, which is involved in the evaluation of shifting price of the power grid.
Based on the optimization model of peak load shifting, the battery energy storage system is optimized. First, based on the analysis of the quadratic programming model, it is proved that the battery storage system based on the quadratic plan is involved in the convexity of the peak load shifting optimization model. Then the genetic algorithm is applied to optimize the battery energy storage system in the peak load shifting optimization model. Based on the two-step programming algorithm and genetic algorithm, a simple and simple constant power method and the generalized method are proposed to solve the model.
On the basis of analyzing the direct economic benefits of the battery energy storage in the power grid peak load shifting, the multi-objective optimization model of the direct economy and the effect of peak load shifting of the battery energy storage system to take part in the peak load shifting is constructed. The characteristics of the model are analyzed, and the outer layer genetic algorithm is
哈尔滨工业大学工学硕士学位论文
used to optimize the charge discharge state of the battery energy storage system. The model is solved by the double optimization of the charge discharge power of the battery energy storage system based on the quadratic programming. Through the simulation analysis, it is proved that the direct economy of the battery energy storage and the effect of peak load shifting in the power grid are in a certain degree, that is, a good direct economy can be taken into account under the good effect of peak load shifting.
In the end, a multiple battery energy storage system with wind power accommodation is built to participate in the multi-target optimization model of shifting, including the multi-objective optimization function and its constraint conditions, which consider the minimum abandoned air volume and the effect of shifting. The model is analyzed and optimized. Through the example simulation analysis, the paper proposed that the multiple battery energy storage system of wind power consumption, which is involved in the optimization of peak load shifting, can achieve good shifting performance and grain filling effect and improve the utilization rate of renewable energy.
Keywords: battery energy storage system, peak load shifting, economy, wind power accommodation.
哈尔滨工业大学工学硕士学位论文
目录
摘要................................................................................................................. I Abstract .............................................................................................................. I I 第1章绪论 .. (1)
1.1 课题背景及研究的目的与意义 (1)
1.2 国内外该方向的研究及发展现状 (2)
1.2.1 电池储能参与削峰填谷优化的研究现状 (2)
1.2.2 削峰填谷优化算法研究现状 (3)
1.2.3 电池储能的经济性分析研究现状 (4)
1.2.4 基于储能风电消纳研究现状 (5)
1.3 本文主要研究内容 (6)
第2章电池储能参与削峰填谷功率优化模型 (7)
2.1 目标函数 (7)
2.2 约束条件 (9)
2.2.1 功率约束 (9)
2.2.2 剩余电量约束 (9)
2.3 削峰填谷评价指标 (10)
2.4 本章小结 (11)
第3章电池储能参与削峰填谷优化模型求解 (12)
3.1 基于二次规划的模型求解 (12)
3.1.1 二次规划模型及其凸性证明 (12)
3.1.2 二次规划模型约束参数配置 (14)
3.1.3 实例仿真分析 (15)
3.2 遗传算法对模型进行求解 (17)
3.2.1 遗传算法相关理论 (17)
3.2.2 实例仿真分析 (18)
3.3 恒功率法对模型进行求解 (20)
3.3.1 恒功率法简介及其流程 (20)
3.3.2 实例仿真分析 (23)
3.4 阔值法对模型进行求解 (25)
3.4.1 阔值法简介及其流程 (25)
3.4.2 实例仿真分析 (29)
哈尔滨工业大学工学硕士学位论文
3.5 本章小结 (31)
第4章计及直接经济因素的电池储能参与电网削峰填谷优化 (32)
4.1 削峰填谷的直接经济性 (32)
4.1.1 低储高发套利 (32)
4.1.2 政府补贴 (33)
4.2 考虑直接经济性的多目标优化模型 (34)
4.2.1 多目标优化目标函数 (34)
4.2.2 多目标优化权重系数预估 (35)
4.2.3 多目标优化约束条件 (36)
4.3 基于双层优化的优化模型求解 (38)
4.3.1 优化模型分析 (38)
4.3.2 电池储能系统充放电状态优化 (39)
4.3.3 电池储能系统充放电功率优化 (41)
4.4 实例仿真分析 (42)
4.5 本章小结 (45)
第5章计及风电消纳的电池储能参与电网削峰填谷优化 (46)
5.1 考虑风电消纳的多目标优化模型 (46)
5.1.1 优化模型决策变量 (46)
5.1.2 目标函数 (47)
5.1.3 约束条件 (47)
5.2 基于双层优化的模型求解 (49)
5.2.1 电池储能系统充放电状态优化 (49)
5.2.2 电池储能系统充放电功率优化 (50)
5.3 实例仿真分析 (56)
5.4 本章小结 (58)
结论 (59)
参考文献 (60)
攻读学位期间发表的学术论文 (65)
哈尔滨工业大学学位论文原创性声明和使用权限 (66)
致谢 (67)