| 张铁峰,姜喜燕,张灏璠.考虑精细化潜力评估的负荷聚合商优化调度[J].电力需求侧管理,2022,24(3):15-21 |
| 考虑精细化潜力评估的负荷聚合商优化调度 |
| Optimal dispatching of load aggregator considering refined potential evaluation |
| 投稿时间：2022-02-04 修订日期：2022-03-26 |
| DOI：10. 3969 / j. issn. 1009-1831. 2022. 03 . 003 |
| 中文关键词: 需求响应 用电数据 负荷聚合商 精细化评估 优化调度 |
| 英文关键词: demand response power consumption data load aggregator accurate evaluation optimal dispatch |
| 基金项目:国家自然科学基金资助项目（51577067） |
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| 摘要点击次数: 1525 |
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| 中文摘要: |
| 负荷聚合商可以聚合用户负荷，实现需求响应，缓解电网压力。为了减轻用户需求响应能力差异和响应行为不确定对负荷聚合商响应特性的影响，构建了需求响应潜力评估模型并提出基于精细化潜力评估的负荷聚合商优化调度模型。首先设计使用 4 个指标，建立基于用户历史用电数据的需求响应潜力精细化评估模型，将需求响应潜力的评估精细到设备级，研究在不同经济激励下的用户及设备的需求响应潜力。然后将需求潜力评估模型与负荷聚合商的优化调度模型相结合，求得最优的调度结果。仿真结果表明，设计的模型能精确反应用户及设备的需求响应潜力，将此模型和负荷聚合商的优化调度模型结合可以充分发挥用户的需求响应能力，提高用户满意度，调动用户的积极性，从而提高负荷聚合商的可靠性和整体的经济性。 |
| 英文摘要: |
| Load aggregators can aggregate users’loads,achieve demand response, and ease grid pressure. To lessen the effects of the different users’demand response capability and the uncertainty of users’response behavior on the response characteristics of load aggregators, a potential assessment model is built and a load aggregator optimal dispatching model based on refined potential evaluation is proposed. Firstly, four indicators are designed, an accurate potential assessment model based on the users’historical power consumption data is established, the assessment of demand response potential is accurated to the device level,and then demand response potential of users and devices under different economic incentives are studied. Next, the demand potential assessment model and load aggregator optimal dispatching model are combined and optimal dispatching results are solved. The simulation results show that the model can accurately reflect demand response potential of users and devices. Combining this model with the optimal dispatching of the load aggregator can give full play to users’ability to participate in demand response, improve users’satisfaction and mobilize the enthusiasm of users, thereby improving the reliability and overall economy of the load aggregator. |
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