新型电力系统多能源能量惯性动态优化控制模型

doi:10.12204/j.issn.1000-7229.2022.09.009

电力建设 ›› 2022, Vol. 43 ›› Issue (9): 87-93.doi: 10.12204/j.issn.1000-7229.2022.09.009

• 新型电力系统下配电网规划与运行优化关键技术研究及应用·栏目主持王守相教授、赵倩宇博士· • 上一篇下一篇

新型电力系统多能源能量惯性动态优化控制模型

苏鹏(), 陈璐(), 吴坚(), 刘鑫(), 马继涛()

国网内蒙古东部电力有限公司,呼和浩特市 010010

收稿日期:2022-01-27 出版日期:2022-09-01 发布日期:2022-08-31
通讯作者: 陈璐 E-mail:supeng1024@163.com;15946375633@163.com;360264936@qq.com;supen1024@163.com;zwj11302021@163.com
作者简介:苏鹏(1989),男,硕士,高级工程师,从事电力系统分析与控制研究,E-mail: supeng1024@163.com;
吴坚(1981),男,硕士,高级工程师,从事电网运行分析研究,E-mail: 360264936@qq.com;
刘鑫(1983),男,硕士,高级工程师,从事电力系统运行与控制研究,E-mail: supen1024@163.com;
马继涛(1976),男,硕士,高级工程师,从事电力系统运行、优化与控制研究,E-mail: zwj11302021@163.com。
基金资助:
国家电网公司科技项目(52660021000R)

Dynamic Optimal Control Model of Multi-energy Inertia in New Power System

SU Peng(), CHEN Lu(), WU Jian(), LIU Xin(), MA Jitao()

State Grid Inner Mongolia Eastern Electric Power Co., Ltd., Hohhot 010010,China

Received:2022-01-27 Online:2022-09-01 Published:2022-08-31
Contact: CHEN Lu E-mail:supeng1024@163.com;15946375633@163.com;360264936@qq.com;supen1024@163.com;zwj11302021@163.com
Supported by:
State Grid Corporation of China Research Program(52660021000R)

摘要/Abstract

摘要：

针对新型电力系统中大规模可再生能源并网和高比例电力电子设备的接入,导致系统惯量水平下降,影响电网安全稳定运行的问题,提出一种新型电力系统多能源能量惯性动态优化控制模型。首先,分析电力、热力、燃气的惯性特性,分别建立电力系统和热、气系统能量传递惯性模型。其次,基于多能源输运下的耦合协调关系,提出一种基于事件驱动电力、热力、燃气系统动态惯性优化控制方法。最后,建立修改的IEEE 39节点电力系统、6节点热力系统和7节点燃气系统的仿真模型进行算例仿真,仿真结果表明,所提出的控制方法能够有效改善新型电力系统的频率响应,保持系统运行鲁棒性。

关键词: 多能源, 惯性, 新型电力系统, 优化控制, 频率稳定

Abstract:

Aiming at the problem that large-scale grid-connected renewable energy and high-proportion power electronic equipment access in new power system, which leads to the decrease of the system inertia level and affects the safe and stable operation of the power grid, a new power system multi-energy inertia dynamic optimization control model is proposed. Firstly, the inertia characteristics of electricity, heat and gas are analyzed, and the inertia models of energy transfer in the power, heat and gas systems are established, respectively. Secondly, considering the coupling and coordination relationship under multi-energy transfer, an event-driven dynamic inertia optimization control method for power, thermal and gas systems is proposed. The modified IEEE 39-node power system, 6-node thermal system and 7-node gas system are simulated as examples. The simulation results show that the proposed control method can effectively improve the frequency response of the new power system and maintain the robustness of the system operation.

Key words: multi-energy, inertia, new power system, optimized control, frequency stability

中图分类号:

TM712

苏鹏, 陈璐, 吴坚, 刘鑫, 马继涛. 新型电力系统多能源能量惯性动态优化控制模型[J]. 电力建设, 2022, 43(9): 87-93.

SU Peng, CHEN Lu, WU Jian, LIU Xin, MA Jitao. Dynamic Optimal Control Model of Multi-energy Inertia in New Power System[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(9): 87-93.

图/表 7

图1 供热管道截面图

Fig.1 Longitudinal section of the pipeline

图2 多能源系统结构图

Fig.2 Structure diagram of multi-energy system

表1 各时段扰动功率

Table 1 Disturbance power in each period

图3 电力系统惯量优化结果

Fig.3 Optimization results of power system inertia

图4 热网部分管道供回水温度

Fig.4 The supply and return water temperature of some pipes in the heating network

图5 气网部分管道管存

Fig.5 Partial pipeline storage of gas network

图6 负载变化下四种控制策略对系统频率和频率变化率的影响

Fig.6 Influence of four control strategies on system frequency and ROCOF under load change

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新型电力系统多能源能量惯性动态优化控制模型

Dynamic Optimal Control Model of Multi-energy Inertia in New Power System

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