计及风电调频的备用容量滚动优化方法

doi:10.12204/j.issn.1000-7229.2022.02.014

摘要/Abstract

摘要：

风电预留备用容量,参与系统调频是构建以新能源为主体的新一代电力系统的必然要求。而现有备用容量配置方法研究鲜有计及风电主动参与调频,且多数方法无法将系统调频经济性和频率稳定性同时进行优化。计及风电调频的备用容量滚动优化方法适用于风电场采用分层集中式频率控制方法参与系统调频,通过多目标机会约束规划将经济性和频率稳定性同时纳入优化目标,在滚动计算中对风功率和负荷预测误差概率分布函数的参数进行校正,并采用混合智能算法得到满足不同置信度的备用容量的优化配置方案。IEEE 39节点测试系统仿真验证表明该方法解决了传统备用容量配置方法的局限,提高了系统频率稳定性及运行经济性。

关键词: 备用容量, 机会约束, 多目标优化, 风电场频率控制, 混合智能算法

Abstract:

It is necessary for wind power to have reserve capacity and participate in system frequency regulation to build a new generation of power system with renewable energy as the main body. However, the existing reserve-capacity allocation methods rarely consider the active participation of wind power in frequency regulation, and most methods cannot optimize the economy and stability at the same time. A rolling optimization method of reserve capacity considering wind power frequency control is proposed, which is suitable for wind farms to participate in system frequency regulation by using hierarchical centralized frequency-control method. In this method, economy and frequency stability are taken into account by multi-objective chance-constrained programming. The parameters of wind power and load prediction error are corrected in rolling calculation. The optimal allocation schemes of reserve capacity of wind farm, thermal power plants and hydropower plants with different confidence are obtained by using hybrid intelligent algorithm. The simulation results of IEEE 39-node test system show that the method solves the limitation of traditional reserve-capacity allocation method, improves the frequency stability and operation economy of the system.

Key words: reserve capacity, chance constraint, multi-objective optimization, wind farm frequency control, hybrid intelligent algorithm

中图分类号:

TM762.1

邢超, 奚鑫泽, 何廷一, 李胜男, 刘明群. 计及风电调频的备用容量滚动优化方法[J]. 电力建设, 2022, 43(2): 117-125.

XING Chao, XI Xinze, HE Tingyi, LI Shengnan, LIU Mingqun. Rolling Optimization Method of Reserve Capacity Considering Wind Power Frequency Control[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(2): 117-125.

图/表 12

图1 含风电的系统频率控制方法

Fig.1 Frequency-control method of the system with wind power

图2 风电场分层集中式频率控制系统

Fig.2 Control system of wind Farm

图3 备用容量滚动优化方法流程

Fig.3 Flow chart of rolling optimization method for system reserve capacity

图4 含风电的IEEE 39节点测试系统图

Fig.4 Diagram of IEEE 39-node test system with wind power

表1 IEEE 39节点系统参数

Table 1 Parameters of IEEE 39-node system

表2 预想事故集

Table 2 Anticipated accident set

图5 场景1仿真结果

Fig.5 Simulation result of Scenario I

图6 场景2仿真结果

Fig.6 Simulation result of Scenario II

图7 场景3仿真结果

Fig.7 Simulation result of Scenario III

图8 场景4仿真结果

Fig.8 Simulation result of Scenario IV

表A1 同步机发电机组参数

Table A1 Parameter values of the synchronous generators

表A2 表A2 遗传算法参数

Table A2 Table A2 Parameter values of genetic algorithm

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