Abstract
With the development of smart home technology, more and more electrical appliances can participate in demand response, providing support for active power balance of the power grid. However, the conventional centralized control method faces vast amounts of electrical appliances, resulting in problems such as communication congestion and dimension curse. This paper proposes a distributed control strategy for electrical appliances based on a multi-agent consensus algorithm. Considering the discrete response characteristics of the on/off loads, a priority ranking mechanism is established, and the customer cost function is established by a fitting method. Based on the incremental cost consensus (ICC) algorithm, the optimal power allocation of customers is realized through distributed control. Simulation and analysis of the examples verify the effectiveness of the proposed strategy.
Highlights
The rapid development of smart electricity utilization techniques has enabled more and more electrical appliances to participate in demand response
This distributed control strategy is adopted in Direct load control (DLC), and the objective load power of the DLC is allocated to each customer according to the incremental cost consensus (ICC) algorithm, so that the optimal power allocation of the DLC is realized
This paper focuses on the distributed control strategy of domestic appliances for demand response
Summary
The rapid development of smart electricity utilization techniques has enabled more and more electrical appliances to participate in demand response. The conventional centralized control method requires the control center to operate the entire system. Global information is shared between two adjacent nodes, which is beneficial to improve the reliability of the system and avoid communication congestion in the control center This distributed control strategy is adopted in DLC, and the objective load power of the DLC is allocated to each customer according to the incremental cost consensus (ICC) algorithm, so that the optimal power allocation of the DLC is realized. The conventional power generation units for power allocation according to the ICC algorithm under the different conditions of centralized control and distributed control is considered in [11]. In view of the above problems, this paper proposes a distributed control strategy based on a multi-agent consensus algorithm.
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