This paper presents an improved deep reinforcement learning (DRL) algorithm for solving the optimal dispatch of microgrids under uncertaintes. First, a multi-objective interval optimization
The distributed optimization method does not require any global information and can protect Key words: microgrid cluster, energy storage battery life, alternating direction Jiao Jianfang,
Fig. 1 Microgrid cluster control architecture based on flexible communication 664 Jie YU et al. 123. 3 Mathematic model of hierarchical hybrid Plug-in and plug-out dispatch optimization in
A low-carbon economic dispatch model of a multi-microgrid–integrated energy system is constructed based on the upper energy storage capacity, charge and discharge power, and user-side demand response with the lowest annual
This research constructs a microgrid cluster system model consisting of three single microgrids to solve the economic optimization dispatch problem. The information exchange center facilitates information sharing between single
First, a multi-objective interval optimization dispatch (MIOD) model for microgrids is constructed, in which the uncertain power output of wind and photovoltaic (PV) is represented by interval variables. The economic cost, network loss, and branch stability index for microgrids are also optimized.
We develop a microgrid optimization model for the microgrid operation process, which includes battery regulation and user satisfaction. The established optimization model is solved using a MACPSO algorithm, and the agent communication mechanism in the microgrid is examined.
The economic optimal dispatch of a microgrid is a challenging task with significant economic and social implications. Under a time-based price mechanism, this paper proposes a multi-agent-based coordinated dispatch strategy for the microgrid's economic dispatch.
The economic cost, network loss, and branch stability index for microgrids are also optimized. The interval optimization is modeled as a Markov decision process (MDP). Then, an improved DRL algorithm called triplet-critics comprehensive experience replay soft actor-critic (TCSAC) is proposed to solve it.
Each micro-source feedback information is more timely in dynamic scheduling, and the microgrid system runs smoothly. As a result, stability and security of the microgrid's economic dispatch will improve.
It is, therefore, the object of the study to develop microgrid optimal dispatch with demand response ( MOD-DR ), which fills in the gap by simultaneously exploiting both the demand and supply sides in a renewable-integrated, storage-augmented, DR-enabled MG to achieve economically viable and system-wide resilient operational solutions.
