A Two-Level Optimal Scheduling Strategy for Central Air-Conditioners Based on Metal Model with Comprehensive State-Queueing Control Models

Abstract

Unlike some thermostatically controlled appliances (TCAs) with small capacities, Central Air-conditioner (CAC) has huge potential for demand response because of its large capacity. This paper presents a new CAC control strategy under multiple constraints. The CAC is modeled by three main modules: CAC central unit, water pumps, and temperature simulation of terminal users. The CAC's power consumption is mainly determined by users' load ratio. As the information and communication system have become the central nervous system of the smart grid, big data analysis is of great significance. Assuming that reliable two-way communication systems are preset, an integrated parameter priority list (IPPL) control strategy is used to control and monitor CAC. A new intelligent algorithm, Space Exploration and Unimodal Region Elimination (SEUMRE) algorithm, is introduced for solving the optimization problem of demand response targets generation under multiple constraints with the help of big data analysis. In this paper, influences and constrain factors, such as price and users' comfortable levels are taken into account to satisfy the need of actual situation. Simulation results show that the proposed approach, when comparing with other typical optimization algorithms, yields better performances and efficiency.

Control Strategy for Inverter Air Conditioners under Demand Response

“…From Figure 3, it can be seen that the indoor temperature is constant after the inverter air conditioner participates in the demand response at t Iac_on_1 (t Iac_on_2 ), which proves the correctness of the temperature maintenance strategy presented in this paper. It can be seen, from (17), that the VSOC largely depends on the current indoor temperature. When the indoor temperature remains unchanged, the value of VSOC also remains constant.…”

“…Therefore, it has been verified that the proposed control strategy can achieve load reduction from inverter air conditioners. It can be seen, from (17), that the VSOC is inversely proportional to From Figure 4, it can be seen that the response power (i.e., the actual amount of load reduction) could fully meet the power shortage (i.e., the load reduction target) during the transfer of control rights. There was a slightly excessive response, but the response power gradually stabilized with time.…”

“…In the model pre-treatment, the VES of inverter air conditioners can be discretized but cannot be linearized [27]. Therefore, to calculate the VSOC for the VES operation of an inverter air conditioner, we need to first calculate the instantaneous temperature by (6) and, then, by (17).…”

“…Therefore, it has been verified that the proposed control strategy can achieve load reduction from inverter air conditioners. It can be seen, from (17), that the VSOC is inversely proportional to the temperature state, so, the larger the VSOC, the smaller the adjustable power. With the passive increase of the charging response power of the VES of the uncontrolled inverter air conditioners, there exists a situation where some controlled VES release their control right in advance.…”

“…Both simulation and experimental studies [12] have been conducted. The air conditioners considered included split air conditioners and central air conditioners [17]. This paper focuses on the load reduction services from aggregated split inverter air conditioners.…”