参与需求侧响应的空调负荷群调节控制方法及优化调度策略
发布时间:2018-05-27 04:20
本文选题:空调 + 负荷聚合商 ; 参考:《工程科学与技术》2017年S1期
【摘要】:目前,空调负荷参与电网需求侧管理时,负荷运行特性均按照定频空调处理,但定频空调在温度调节中即相同的温度间隔下温度区间不同时,运行状态数会发生变化。为解决此问题,本文研究了空调负荷群的分类方法,并提出空调负荷群参与电网调节的优化调度策略。针对定频空调采用设定温度控制和直接启停控制相结合的策略,有效地解决了在温度调节过程中由于运行状态数变化所引起的负荷波动问题。对于变频空调根据其运行特性分别建立了稳态、动态负荷模型,参与用户侧需求响应。基于定、变频空调的负荷模型,建立空调负荷群优化调度模型,并采用离散粒子群算法对其进行仿真分析。当参与调控的空调负荷为定值时,分别对同一削减目标下不同的调控时长、同一调控时长下的不同削减量两类情况下的5种调控策略进行仿真验证。结果表明:在同一削减目标下,调控标准偏差随着调控时段数的增加而不断增大;在同一调控时长下,调控标准偏差随着削减目标的增加也不断增大;在以上两类情况下其调控的标准偏差与削减目标的比值均小于3%,从而可以得出在同一削减目标或调控时长下,空调负荷群的最大可节约电能。因此,在一定的调节范围内,空调负荷作为需求侧资源可以有效拟合调控目标,进而负荷聚合商可利用空调负荷的调节能力制定合理的削减目标和削减时段,改善电网负荷的峰谷特性。
[Abstract]:At present, when air conditioning load takes part in the demand side management of power grid, load operation characteristics are treated according to fixed frequency air conditioning, but the temperature range of fixed frequency air conditioning is different under the same temperature interval, and the number of operating states will change. In order to solve this problem, this paper studies the classification method of air conditioning load group, and puts forward the optimal dispatching strategy for air conditioning load group to participate in power grid regulation. Aiming at the fixed frequency air conditioning system, the load fluctuation caused by the change of the number of operating states in the process of temperature regulation is effectively solved by combining the strategy of setting temperature control with direct start and stop control. The steady and dynamic load models are established according to the operating characteristics of variable frequency air conditioners to participate in the user side demand response. Based on the load model of fixed frequency and variable frequency air conditioning, the optimal scheduling model of air conditioning load group is established, and the discrete particle swarm optimization algorithm is used to simulate the model. When the load of air conditioning involved in the control is fixed, the simulation results show that the five control strategies are different under the same reduction target and two kinds of reduction under the same control time. The results show that the regulatory standard deviation increases with the increase of the number of control periods under the same reduction target, and increases with the increase of the reduction target at the same time. In the above two cases, the ratio of the standard deviation to the reduction target is less than 3, so it can be concluded that under the same reduction target or the control time, the maximum energy saving of the air conditioning load group can be obtained. Therefore, in a certain range of regulation, air conditioning load, as a demand side resource, can effectively fit the control objectives, and then load aggregators can make use of the capacity of air conditioning load adjustment to formulate reasonable reduction targets and time periods. To improve the peak and valley characteristics of power grid load.
【作者单位】: 四川大学电气信息学院;
【基金】:四川省科技厅项目资助(2016GZ0143)
【分类号】:TM73
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