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The Load Aggregation Strategy of Central Air-conditioning for Smoothing Wind Power Fluctuation

机译:中央空调的负荷聚集策略,可缓解风电波动

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Compared with the household air-conditioning, central air-conditioning has larger rated capacity and more concentrated operating period. These characteristics of the central air-conditioning make it a high quality resource that can be participated in the centralized load regulation. Firstly, the equivalent thermal parameters model of central air-conditioning and the thermal comfort model of human body are established, and then the aggregation strategy of central air-conditioning loads is proposed to minimize the operation fees of load aggregator under the constraints of the minimum aggregated load requirement, adjustment time period and users' comfort index. The particle swarm optimization algorithm is adopted to solve the optimal problem in this paper. Finally, the aggregated central air-conditioning loads are used to smooth the wind power fluctuation in the wind farm, and the optimal dispatch costs are compared with the investment cost of energy storage equipment needed to compensate the power fluctuation. The analysis results show that the load aggregation strategy of central air-conditioning is more economical than the configuration of traditional energy storage equipment.
机译:与家用空调相比,中央空调具有更大的额定容量和更集中的运行时间。中央空调的这些特性使其成为可以参与集中负载调节的高质量资源。首先建立了中央空调的等效热参数模型和人体的热舒适性模型,然后提出了中央空调负荷的聚集策略,以在最小约束下最小化负荷聚集器的运行费用。总负荷需求,调整时间段和用户舒适度指数。本文采用粒子群优化算法解决了最优问题。最后,使用汇总的中央空调负荷来缓解风电场中的风电波动,并将最佳调度成本与补偿电波动所需的储能设备的投资成本进行比较。分析结果表明,中央空调的负荷聚集策略比传统的储能设备更经济。

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