| 引用本文: | 王力成,丁伯平,王 凯,等.考虑惯量-频率变化率空间分布特性的最优机组组合方法研究[J].电力系统保护与控制,2025,53(16):147-158.[点击复制] |
| WANG Licheng,DING Boping,WANG Kai,et al.Security-constrained unit commitment optimization method considering the characteristics of inertia-RoCoF spatial distribution[J].Power System Protection and Control,2025,53(16):147-158[点击复制] |
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| 摘要: |
| 在故障发生后的瞬间，电网不同节点上的频率变化率(rate of change of frequency, RoCoF)不尽相同，其分布不仅取决于故障发生的位置，同时也与惯量在整个系统中的分布以及输电线路的拓扑和参数有关。因此，基于系统中心惯量的故障后 RoCoF仍有可能超出安全阈值。为应对这一挑战，提出了考虑惯量-RoCoF空间分布特性的最优机组组合方法。首先，建立惯量-RoCoF空间分布模型，分析故障后电网各节点注入功率与电压相角的变化。然后，构建电网节点 RoCoF的安全约束，并将其嵌入到最优机组组合问题中。最后，通过WSCC9节点系统和东南澳电力系统的仿真分析，验证了所提机组组合方案相较于传统方法在维持电网节点 RoCoF安全方面的优势。 |
| 关键词: 节点频率变化率 空间分布特性 安全约束机组组合 |
| DOI：10.19783/j.cnki.pspc.241483 |
| 投稿时间：2024-11-11修订日期：2025-04-17 |
| 基金项目:国家自然科学基金项目资助(U22B20116，52007170)；浙江省自然科学基金项目资助(LY22E070007) |
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| Security-constrained unit commitment optimization method considering the characteristics of inertia-RoCoF spatial distribution |
| WANG Licheng1,DING Boping1,WANG Kai2,LIANG Bomiao3,FENG Changsen1,ZHANG Youbing1 |
| (1. College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China; 2. College of Electrical
Engineering, Qingdao University, Qingdao 266071, China; 3. College of Automation and Electrical Engineering,
Zhejiang University of Science and Technology, Hangzhou 310023, China) |
| Abstract: |
| Immediately after a fault occurs, the rate of change of frequency (RoCoF) at different nodes in the power grid varies, which is influenced not only by the fault location but also by the distribution of inertia across the system and the topology and parameters of the transmission networks. Consequently, even when evaluated based on the system’s center of inertia (COI), the post-fault RoCoF may still exceed safe thresholds. To address the challenge, this paper proposes an optimal unit commitment (UC) method considering the spatial distribution characteristics of inertia and RoCoF. First, a spatial distribution model of inertia-RoCoF is developed to analyze the variations of injected power and voltage phase angles at different nodes across a power system immediately after a contingency. Then, security constraints of nodal RoCoF are formulated and integrated into the optimal UC problem, considering contingencies. Finally, simulation results of the WSCC9-bus system and the Southeast Australia power system demonstrate that the proposed UC strategy offers significant advantages over traditional ones in maintaining the security of nodal RoCoF. |
| Key words: nodal RoCoF spatial distribution characteristics security-constrained unit commitment |
