| 引用本文: | 祁江浩,李凤婷,张高航.需求响应分段参与的多时间尺度源荷协调调度策略[J].电力系统保护与控制,2021,49(11):61-69.[点击复制] |
| QI Jianghao,LI Fengting,ZHANG Gaohang.Multi-time scale scheduling strategy for source-load coordination considering demand response block participation[J].Power System Protection and Control,2021,49(11):61-69[点击复制] |
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| 摘要: |
| 需求侧主动参与调度能够减轻电源侧发电压力，提高系统消纳新能源能力。如何充分发挥负荷侧调度潜力，合理利用需求响应成为目前需要研究的问题。提出了一种考虑需求响应分段参与的多时间尺度源荷协调调度策略。首先基于不同负荷在响应特性和响应时长的差异，将需求响应负荷分为4类，再将一天24 h分成不同的参与时段，通过负荷代理分段参与电网的调度并构建负荷响应模型。然后，构建“日前-日内2 h-日内15 min”的多时间尺度调度模型，对源荷资源进行协调调度。最后在改进的10机系统中进行了仿真验证。结果表明所提策略能更大限度发挥负荷侧潜力，提高电力系统调度运行的经济性，增强系统消纳风电能力，减少弃风。 |
| 关键词: 需求响应 可转移负荷 多时间尺度 源荷互动 滚动优化 |
| DOI：DOI: 10.19783/j.cnki.pspc.200954 |
| 投稿时间：2020-08-07修订日期：2020-09-12 |
| 基金项目:国家自然科学基金项目资助(51767023) |
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| Multi-time scale scheduling strategy for source-load coordination considering demand response block participation |
| QI Jianghao,LI Fengting,ZHANG Gaohang |
| (Engineering Research Center for Renewable Energy Power Generation and Grid Technology
(Xinjiang University), Urumqi 830047, China) |
| Abstract: |
| Demand side active participation in the dispatching process can mitigate the pressure on conventional unit generation and improve renewable energy accommodation. How to fully exert the dispatch capacity of load side, using demand response efficiently is the issue needing to be researched. This paper describes a novel multi-time scale scheduling strategy for source-load coordination considering demand response block participation. First, considering the difference in response characteristics and response duration of different loads, the demand response load is divided into four types and the scheduling day is divided into different participation periods. A demand response model with load agents is established. Second, a multi-time scale scheduling model that consists of day-ahead, intra-day 2-hour and intra-day 15-minute scheduling is formulated to coordinate the scheduling of source and load resources. Finally, a simulation verification is carried out on the improved 10-machine system. The results show that the proposed strategy can schedule demand response well and effectively reduce the operating cost of the system, as well as increase the penetration of wind generation and reduce wind power curtailment.
This work is supported by the National Natural Science Foundation of China (No. 51767023). |
| Key words: demand response shiftable load multi-time scale source-load interaction rolling optimization |
