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多时间尺度协调的柔性负荷互动响应调度模型与策略 被引量:108

Model and Strategy for Multi-time Scale Coordinated Flexible Load Interactive Scheduling
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摘要 负荷侧资源参与电网有功调度在提高风电接纳能力方面存在着巨大潜力,但也会给调度运行带来复杂的控制问题。为解决这一问题,基于风电在不同时间尺度误差的不同以及电网对应调节能力的差异,提出"多级协调、逐级细化"的多时间尺度协调的柔性负荷响应调度模型与策略。首先,提出多时间尺度源–荷调度总体框架,将负荷调度的整个过程分为4个时间尺度,包括日前24 h、日内1 h、日内15 min和实时负荷调度;其次,建立风电功率预测不确定性模型、负荷代理决策模型和调度控制中心决策模型;然后,在这几个核心模型的基础上,提出多时间尺度源–荷协调调度策略,给出计及风电不确定性的负荷调整量的决策计算方法;最后,在某地区实际电网算例上进行仿真验证。结果表明,本文所设计的负荷调度模型和策略可以充分利用不同时间尺度上的负荷资源,有效平衡风电预测功率不确定性所引起的功率不平衡量,并减少系统备用容量。 It shows a huge potential for demand side resources to participate in active power balance so as to improve the system capability of accommodating renewable generation, but it also brings additional complexity in system power balance control. Based on the contrastive analysis of wind power prediction error and the corresponding regulation ability of power grid in different time scales, a multi-time scale coordinated flexible load interaction response scheduling (FLIRS) was proposed. Firstly, an overall technical framework based on the principle of multi-level coordination and incremental refinement was presented. Load scheduling and regulation was divided into four time scales, i.e. a day-ahead 24-hour scheduling, an intra-day 1-hour scheduling, a 15-minute dispatch and a real-time dispatch. Secondly, several core models were built, including wind power prediction model considering uncertainty, multi-agent system (MAS) decision- making model and load dispatching control center decision model. Then, based on these models, a multi-time scale source-load coordination control strategy was established, and the load adjustment calculation method considering the uncertainty of wind power was also given. Finally, simulation results on a regional power grid show that the designed load scheduling models and strategies can fully take advantage of the flexibility of demand side resources at different time scales effectively. It will be beneficial for stabilizing wind powerfluctuation and intermittence, as well as reducing system spinning reserve.
出处 《中国电机工程学报》 EI CSCD 北大核心 2014年第22期3664-3673,共10页 Proceedings of the CSEE
基金 国家重点基础研究发展计划项目(973项目)(2013CB228206) 北京市自然科学基金资助项目(3132035) 国家电网公司科技项目"源–网–荷"互动环境下多时空尺度需求响应调度框架及关键技术研究 国家电网公司科技项目"源–网–荷"互动环境下电网稳态分析方法研究~~
关键词 需求响应 柔性负荷 调度 多时间尺度 多智能体系统 协调 不确定性 demand response (DR) flexible load scheduling multi-time scale multi-agent system (MAS) coordination uncertainty
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