| 引用本文: | 高万胜,蔺 红.考虑配电网灵活性不足风险的分布鲁棒低碳优化调度[J].电力系统保护与控制,2024,52(16):49-61.[点击复制] |
| GAO Wansheng,LIN Hong.Distributionally robust low-carbon optimal scheduling considering flexibility deficiency risk in a distribution network[J].Power System Protection and Control,2024,52(16):49-61[点击复制] |
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| 摘要: |
| 双碳目标下高占比可再生能源接入配电网，其不确定性导致配电网灵活性需求剧增。为提高配电网灵活运行能力，减少碳排放，提出考虑配电网灵活性不足风险的分布鲁棒低碳优化调度方法。首先，考虑智能储能软开关作为网络灵活性资源，以减少线路阻塞并提高节点灵活性资源网络互济水平。引入功率传输分布因子表征灵活性供需在线路上的传输情况，提出资源灵活性裕度指标和线路容量裕度指标，评估配电网灵活性。其次，基于条件风险价值理论，推导出当资源-线路裕度不足时给配电网造成的灵活性不足风险。然后，考虑风光出力的不确定性与相关性，运用Frank-Copula函数生成风光出力场景，采用改进的KL散度构造概率分布模糊集。以综合运行成本最低为目标，建立分布鲁棒优化调度模型，采用列与约束生成算法求解。最后，通过算例验证表明，智能储能软开关的加入减少了线路阻塞的情况，所提方法能够减少配电网碳排放和灵活性不足风险。 |
| 关键词: 智能储能软开关 灵活性资源 条件风险价值 Frank-Copula函数 分布鲁棒优化 |
| DOI：10.19783/j.cnki.pspc.231481 |
| 投稿时间：2023-11-20修订日期：2024-01-03 |
| 基金项目:国家自然科学基金项目资助(52367012)；新疆维吾尔自治区重点研发专项资助(2022B01020-3) |
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| Distributionally robust low-carbon optimal scheduling considering flexibility deficiency risk in a distribution network |
| GAO Wansheng,LIN Hong |
| (College of Electrical Engineering, Xinjiang University, Urumqi 830017, China) |
| Abstract: |
| When there is a high proportion of renewable energy accessing the distribution network under a double carbon target, its uncertainty leads to a great increase of the distribution network flexibility demand. To improve the distribution network flexible operation capability and reduce carbon emissions, a distributionally robust low-carbon optimal scheduling method considering flexibility deficiency risk in a distribution network is proposed. First, this paper considers the soft open point integrated with an energy storage system as network flexibility resources to reduce line blocking and improve the node flexibility resource network mutual benefit level. A power transfer distribution factor is introduced to characterize the flexible supply and demand transmission on the line, and resource flexibility margin and line capacity margin indices are put forward to evaluate distribution network flexibility. Secondly, based on the theory of conditional value-at-risk, the flexibility deficiency risk in the network is derived when the resource-line margin is insufficient. Then, considering the uncertainty and correlation of wind-solar power, the Frank-Copula function is used to generate wind-solar output scenarios, and the improved KL divergence is used to construct the fuzzy set of a probability distribution. To gain the lowest comprehensive operational cost, the distributionally robust optimal scheduling model is established, and a column constraint generation algorithm is used for analysis. Finally, the example shows that soft open point integrated with an energy storage system can reduce line blocking, and the proposed method can reduce system carbon emissions and the risk of flexibility deficiency. |
| Key words: soft open point integrated with energy storage system flexible resource conditional value at risk Frank- Copula function distributionally robust optimization |
