Abstract: DC microgrids ease the integration of renewables and can be easily put together with plug-and-play operation. However, most control techniques in DC microgrids focus on voltage
economic dispatch of generation [7], [9]–[14]. Despite these issues, to the best of the authors'' knowledge, distributed model predictive control (DMPC) has not been studied thoroughly at
PDF | On Jul 1, 2022, Feng Wang and others published Cooperative Control of Hybrid Microgrids: An Economic Dispatch Solution | Find, read and cite all the research you need on ResearchGate
Economic dispatch model as an SDP A matrix formulation given in (12), is necessary to transform economic dispatch model for dc microgrids presented by (1)-(10) to the canonical formulation
In a microgrid, optimal economic dispatch, minimizing generation power cost with transmission loss under power balance equality constraint and power generator maximum/minimum inequality constraints, is vital for the stable and efficient operation of the whole system (Li et al., 2019).
This paper investigates the economic dispatch (ED) problem of multi-microgrids considering the flexible loads based on distributed consensus algorithm.
The multi-microgrids distributed control system is a hybrid system composed of multi-microgrids connected by a common bus, and the microgrid usually operates in the grid disconnection mode.
Microgrids are considered as an intelligent power system which can effectively integrate local renewable energy. However, the intermittency of renewable energy puts significant pressure on microgrids in energy management systems and control operations [4, 5].
A distributed predefined-time optimal economic dispatch strategy is presented by utilizing a time-based function. By employing the proposed strategy, the minimization of the generation cost with transmission loss under the power balance constraint and generation minimum/maximum constraints can be realized within a predefined settling time.
In example 1, the total load demand power of three microgrids is 600 kW, 500 kW, and 400 kW, respectively, while the total generator power is 1500 kW. This situation is also appropriate for multi-microgrids simulation with flexible load (example 2, with the total load demand power 1600 kW) and multi-period simulation (example 3).
