| 荆志朋,胡诗尧,蒋睿珈,徐畅,柴林杰.计及灵活性评估的分布式智能电网辅助服务调峰交易优化方法[J].电力需求侧管理,2026,28(2):116-123 |
| 计及灵活性评估的分布式智能电网辅助服务调峰交易优化方法 |
| Optimization method of distributed smart distribution network peak load regulation market transaction considering flexibility evaluation |
| 投稿时间：2025-12-10 修订日期：2026-01-22 |
| DOI：10.3969/j.issn.1009-1831.2026.02.017 |
| 中文关键词: 分布式智能电网 灵活性评估 就地消纳 用户满意度 市场交易 |
| 英文关键词: distributed smart distribution network flexibility evaluation local consumption user satisfaction market transaction |
| 基金项目:国网总部科技项目(5108-202218280A-2-373-XG) |
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| 中文摘要: |
| 分布式智能电网能够实现新能源就地消纳的同时其内部灵活性资源可参与电力市场交易,但分布式智能电网参与市场的交易机制尚不清楚。为了解决该问题,提出计及灵活性评估的分布式智能电网辅助服务调峰交易优化方法:首先,建立计及灵活性评估的分布式智能电网辅助服务调峰交易优化模型,以运营主体辅助服务调峰收益、用户满意度收益与上级主网调峰效果收益最大化为目标,分布式智能电网灵活性供给大小为约束,以模拟分布式智能电网参与辅助服务调峰情况;然后,建立考虑辅助服务调峰收益的分布式智能电网灵活性评估模型,以计及市场收益的分布式智能电网运行成本最低为目标,灵活性负荷运行模型为约束,模拟分布式智能电网内部运行,从而计算对外灵活性供给,并将该结果传递给市场交易优化模型;最后,利用IEEE33节点系统对方法进行验证,结果表明,分布式智能电网参与辅助服务调峰后,使外部电网峰谷差率从53.3%降至36.6%,峰谷差从0.99MW减少至0.68MW,抑制了负荷波动。 |
| 英文摘要: |
| Distributed smart grids enable local consumption of new energy sources while allowing their internal flexible resources to participate in electricity market transactions. However, the transaction mechanisms for distributed smart grid participation in the market remain unclear. To address this issue, an optimization method for peak shaving transactions in distributed smart grids that incorporates flexibility assessment is proposed. First, an optimization model for peak shaving transactions in distributed smart grids is established, considering flexibility evaluation. The model aims to maximize the revenue from peak shaving services for the operating entity, user satisfaction benefits, and the peak shaving effectiveness benefits for the upper-level main grid, while constraining the flexibility supply of the distributed smart grid. This simulates the participation of distributed smart grids in peak shaving services. Next, a flexibility assessment model for distributed smart grids considering ancillary service peak shaving revenues is developed. This model aims to minimize operational costs while accounting for market revenues, constrained by flexibility load operation models. It simulates internal grid operations to calculate external flexibility supply, feeding this result into the market transaction optimization model. Finally, the methodology is validated using the IEEE 33-node system. Results demonstrate that after the distributed smart grid participates in peak shaving for ancillary services, the external grid's peak-to-valley difference rate decreases from 53.3% to 36.6%, and the peak-to-valley difference reduces from 0.99 MW to 0.68 MW, effectively suppressing load fluctuations. |
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