Abstract
Highly intermittent renewable energy sources pose new challenges to microgrid operation and control. Thus, many distributed control strategies have been proposed to solve this problem. However, for most previous studies, the system frequency fluctuation can be further controlled on the basis of the optimal control strategy. This paper proposes a novel distributed optimal control strategy of a battery energy storage system in an islanded microgrid to provide desired optimal control performance and fast frequency recovery. The proposed control strategy is implemented through a multi-agent system based on consensus algorithm, which only requires information collected through a local communication network. Furthermore, the measurement of supply–demand mismatch is replaced by the control signal obtained from a supplementary controller with the improved linear active disturbance rejection control algorithm. The stability of microgrid frequency can be greatly enhanced through this improvement. Finally, the validity of proposed method is demonstrated by various case studies which are given in this paper.
Highlights
The microgrid, as is defined by the Consortium for Electric Reliability Technology Solutions (CERTS), is the integration of interconnected load and distributed energy resources and acts as a single controllable entity with respect to the traditional power grid [1,2]
A framework of an islanded microgrid is presented in Figure 1, which consists of multiple battery energy storage systems (BESSs), two wind power generators, and three load demands
This paper proposes a novel distributed optimal control of BESSs to realize fast frequency recovery and enhance system stability
Summary
The microgrid, as is defined by the Consortium for Electric Reliability Technology Solutions (CERTS), is the integration of interconnected load and distributed energy resources and acts as a single controllable entity with respect to the traditional power grid [1,2]. In [15], based on the incremental cost consensus algorithm, an improved distributed control strategy is proposed through changing the updating rules to minimize total power loss. In [16], another improved distributed control strategy based on the consensus algorithm is proposed for microgrid optimal control. Inspired by the dynamic average consensus estimation method, an optimal control strategy is proposed in [18] to minimize the generation cost of components in a distributed manner. Considering the stochastic characteristic of wind turbine generators and other renewable energy sources, it’s necessary to propose a more available control strategy which can provide faster frequency recovery during optimization process. This paper proposes a novel distributed optimal control strategy to realize the minimization of BESS cost, and to simultaneously provide fast frequency recovery.
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