Hybrid Control Strategy for Air-conditioning Loads Participating in Peak Load Reduction Through Wide-range Transport Model

Abstract

This paper proposes a hybrid control strategy of air-conditioning loads (ACLs) for participating in peak load reduction. The hybrid control strategy combines the temperature setpoint adjustment (TSA) control and on/off control together to make full use of response potentials of ACLs. The primary free transport model of ACLs has been established in literature at or near a fixed temperature setpoint. In this paper, a widerange transport (WRT) model suitable for larger value of TSA is proposed. The WRT model can be constructed easily through the parameter of devices and indoor and outdoor temperature. To modulate the aggregate response characteristics of ACLs more friendly to the power grid, the safe protocol (SP) is adopted and integrated into the WRT model, which achieves a good unification of oscillation suppression and efficient modeling. Moreover, the hybrid control strategy is implemented based on the WRT model, and the model predictive control (MPC) controller is designed considering the tracking error and control switch cost. At last, the superiority of the hybrid control strategy is verified and the performance of ACLs for peak load reduction under this controller is simulated. The simulation results show that the hybrid control strategy could exploit the load reduction potential of ACLs fully than the TSA mode and track the reference signal more accurately.

A self‐constraint model predictive control method via air conditioner clusters for min‐level generation following service

“…This means that if no forced control actions are given to the ACCs, the aggregate power will recover to a stable value after certain iterations at an arbitrary initial load distribution, as shown in Figure 3. Previous research has indicated that for a specific ACC, a higher adjustment ratio of aggregated power leads to a shorter response duration [22], as seen in Figure 4. Hence, the unreasonable tracking reference may prevent the ACs from finishing the reference signal within the required response time period.…”

“…The accuracy of the proposed NSS model is compared with the classic Monte‐Carlo method and the primary state space model in [22]. The parameters of ACC [22] are shown in Table 1. The aggregated power of ACC is shown in Figure 3.…”

A Self-constraint Model Predictive Control Method via Air Conditioner Clusters for Min-level Generation Following Service

“…The accuracy of the proposed NSS model is compared with the primary state space model and Monte-Carlo method. The parameters of ACC [39] are shown in Table .1. In the simulation, the initial distribution of ACC are set as the same.…”

“…The proposed NSS model is compared with the classic Monte-Carlo method and also the primary state space model used in Ref. [39]. The evolution of aggregated power is shown in Fig.…”