| 引用本文: | 余光正,张俊杰,陈甜甜,等.基于多准则决策分析的新型电力系统配电网自平衡能力评估方法[J].电力系统保护与控制,2025,53(11):30-40.[点击复制] |
| YU Guangzheng,ZHANG Junjie,CHEN Tiantian,et al.A multi-criteria decision analysis-based method for assessing self-balancing capability in new power distribution networks[J].Power System Protection and Control,2025,53(11):30-40[点击复制] |
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| 摘要: |
| 随着分布式新能源和灵活可调负荷大量接入新型电力系统，考虑电力电量的平衡体系难以满足日益复杂的源荷特性以及供需关系，给新型电力系统供需协同运行带来了极大的挑战。为充分利用配电网中灵活性源荷资源的调节特性以提高电网的自平衡能力，提出了一种基于多准则决策的新型电力系统自平衡能力评估方法。首先，构建了新型电力系统自平衡能力的评价指标体系，以有效量化配电网的自平衡水平。其次，提出了一种基于多准则决策的自平衡能力评估方法，建立了基于偏好顺序结构的自平衡评估模型。最后，通过算例分析以及历史数据验证了所提方法的有效性。评估结果可指导新能源、需求侧响应等灵活性调节资源的建设，以适应新型电力系统在多时间尺度和多应用场景下对灵活可调资源的需求。 |
| 关键词: 新型电力系统 自平衡能力评估 多准则决策 偏好顺序结构评估法 |
| DOI：10.19783/j.cnki.pspc.241037 |
| 投稿时间：2024-08-04修订日期：2024-12-16 |
| 基金项目:国家自然科学基金项目资助(52207121) |
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| A multi-criteria decision analysis-based method for assessing self-balancing capability in new power distribution networks |
| YU Guangzheng1,ZHANG Junjie1,CHEN Tiantian2,LIU Jing2,YANG Nan2 |
| (1. College of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
2. State Grid Shanghai Electric Power Research Institute, Shanghai 200437, China; 3. College of Electrical
Engineering and New Energy, China Three Gorges University, Yichang 443002, China) |
| Abstract: |
| With the large-scale integration of distributed new energy and flexible loads into new power systems, traditional approaches for balancing electric power supply and demand are increasingly inadequate in addressing the complexity characteristics of generation and load, as well as the evolving supply-demand relationships. This presents significant challenges to the coordinated operation of such systems. To harness the regulatory potential of flexible resources within distribution networks and enhance self-balancing capability of power grids, a self-balancing capability assessment method for new power systems is proposed based on multi-criteria decision analysis. First, an evaluation index system is established to quantitively assess the self-balancing level of the distribution network. Then, a self-balancing capability assessment method based on multi-criteria decision analysis is developed by constructing a evaluation model based on preference order structure. Finally, the effectiveness of the proposed method is verified by example analysis and historical data. The assessment results can guide the construction of flexible resources such as new energy and demand-side response to meet the needs of new power systems across various time scale and application scenarios. |
| Key words: new power system self-balancing capability assessment multi-criteria decision analysis preference ranking structure evaluation method |
