高比例新能源电网多源最优协同调频策略

doi:10.12204/j.issn.1000-7229.2021.10.006

电力建设 ›› 2021, Vol. 42 ›› Issue (10): 51-59.doi: 10.12204/j.issn.1000-7229.2021.10.006

• 高渗透率可再生能源发电及其先进并网技术·栏目主持张兴教授、李飞副教授· • 上一篇下一篇

高比例新能源电网多源最优协同调频策略

何廷一¹, 李胜男¹, 陈亦平², 吴水军³, 沐润志³, 和鹏¹, 孟贤¹, 何鑫¹, 杨博⁴(), 曹璞璘⁴

1.云南电网有限责任公司电力科学研究院,昆明市 650200
2.中国南方电网电力调度控制中心,广州市 510663
3.云南电力试验研究院(集团)有限公司,昆明市 650200
4.昆明理工大学电力工程学院,昆明市 650500

收稿日期:2021-04-29 出版日期:2021-10-01 发布日期:2021-09-30
通讯作者: 杨博 E-mail:yangbo_ac@outlook.com
作者简介:何廷一(1987),男,硕士,工程师,主要研究方向为系统分析机网协调。
李胜男(1971),女,教授级高级工程师,主要研究方向为电力系统继电保护、机网协调等。
陈亦平(1978),男,博士,教授级工程师,主要研究方向为电力系统稳定与控制。
吴水军(1980),男,硕士,高级工程师,研究方向为电力系统运行与控制、机网协调。
沐润志(1991),男,硕士,工程师,研究方向为电力系统运行与控制、机网协调。
和鹏(1988),男,硕士,工程师,研究方向为系统分析。
孟贤(1987),男,硕士,高级工程师,研究方向为系统分析。
何鑫(1990),男,硕士,工程师,研究方向为电力系统仿真与直流输电。
曹璞璘(1986),男,博士,副教授,主要研究方向为电力系统保护与控制。
基金资助:
国家自然科学基金项目(61963020);云南省基础研究计划项目(202001AT070096);南方电网公司重点科技项目(YNKJXM20191240)

Multi-source Optimal Coordinated Frequency Regulation for Power Grid with High Penetration of Renewable Energy

HE Tingyi¹, LI Shengnan¹, CHEN Yiping², WU Shuijun³, MU Runzhi³, HE Peng¹, MENG Xian¹, HE Xin¹, YANG Bo⁴(), CAO Pulin⁴

1. Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650200, China
2. China Southern Power Dispatching and Control Center, Guangzhou 510663, China
3. Yunnan Electric Test & Research Institute Group Co., Ltd., Kunming 650200, China
4. School of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China

Received:2021-04-29 Online:2021-10-01 Published:2021-09-30
Contact: YANG Bo E-mail:yangbo_ac@outlook.com
Supported by:
National Natural Science Foundation of China(61963020);Basic Research Program of Yunnan Province(202001AT070096);Key Project of China Southern Power Grid Co.,Ltd.(YNKJXM20191240)

摘要/Abstract

摘要：

随着大规模可再生能源对电网渗透率的不断增加,大型风光电站也开始参与到电网的调频当中。首先,建立了功率响应总偏差、调频里程支出最小化的多目标互补控制模型,以解决不同调频资源的动态功率分配问题。为解决该非线性优化问题,采用多目标蝠鲼觅食优化算法(multi-objective manta ray foraging optimization, MMRFO)快速地获取高质量的Pareto前沿,以满足电网的实时在线调频需求,提高区域电网的动态响应能力。然后,基于熵权法,设计了灰靶决策法客观地选择不同功率扰动下兼顾运行经济性和电能质量的折中解。最后,基于扩展的两区域负荷频率控制(load frequency control,LFC)模型验证了所提方法的有效性。

关键词: 高比例新能源电网, 协同调频策略, 多目标蝠鲼觅食优化算法(MMRFO), 灰靶决策法

Abstract:

With the increasing penetration of large-scale renewable energy into the power grid, large-scale wind and solar power stations also begin to participate in the frequency regulation of the power grid. In order to solve the dynamic power allocation problem of different frequency-regulation resources, a multi-objective complementary control model with minimum total power deviation and regulation mileage payment is established. To solve the nonlinear optimization problem, the multi-objective manta ray foraging optimization algorithm (MMRFO) is adopted in this paper to quickly obtain high quality Pareto front to meet the real-time online frequency-regulation requirements of the power grid and improve the dynamic response capability of the regional power grid. Then, applying the entropy weight method, the grey target decision-making theory is designed to objectively select the compromise solution which takes into account both operation economy and power quality under different power perturbations. Finally, the validity of the proposed method is verified by an extended two-area load frequency control model.

Key words: power grid with high penetration of renewable energy, collaborative frequency-regulation strategy, multi-objective manta ray foraging optimization (MMRFO), grey target decision-making

中图分类号:

TM73

何廷一, 李胜男, 陈亦平, 吴水军, 沐润志, 和鹏, 孟贤, 何鑫, 杨博, 曹璞璘. 高比例新能源电网多源最优协同调频策略[J]. 电力建设, 2021, 42(10): 51-59.

HE Tingyi, LI Shengnan, CHEN Yiping, WU Shuijun, MU Runzhi, HE Peng, MENG Xian, HE Xin, YANG Bo, CAO Pulin. Multi-source Optimal Coordinated Frequency Regulation for Power Grid with High Penetration of Renewable Energy[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(10): 51-59.

图/表 13

图1 基于扩展两区域LFC模型的调频框架

Fig.1 Framework of frequency regulation on extended two-area LFC model

表1 不同类型调频机组动态响应传递函数

Table 1 Dynamic response transfer functions of different frequency-regulation units

图2 动态响应模型

Fig.2 Dynamic response models

图3 MMRFO求解流程

Fig.3 Flow chart of MMRFO

图4 折中解的选择

Fig.4 The selection of decision options

表2 调频机组的传递函数参数

Table 2 Parameters of transfer functions of frequency-regulation units

表3 调频机组的功率调节参数

Table 3 Main parameters of power regulation of frequency-regulation units

图5 基于扩展的两区域LFC模型,4种算法的Pareto前沿比较

Fig.5 Comparison of the Pareto front obtained by four algorithms on the extended two-area LFC model

表4 各算法性能比较

Table 4 Comparison of performance metrics of algorithms

图6 基于扩展的两区域LFC模型优化结果(ΔPD=70 MW)

Fig.6 Real-time optimization results obtained on the extended two-area LFC model when ΔPD=70 MW

图7 基于扩展的两区域LFC模型优化结果(ΔPD=-50 MW)

Fig.7 Real-time optimization results obtained on the extended two-area LFC model when ΔPD=-50 MW

图8 不同功率扰动下的调频里程支出

Fig.8 Mileage payment of frequency regulation under four perturbations cases

表5 不同扰动下优化结果比较

Table 5 Result comparison of online optimization under different perturbations

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高比例新能源电网多源最优协同调频策略

Multi-source Optimal Coordinated Frequency Regulation for Power Grid with High Penetration of Renewable Energy

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