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Li et al. (Multi-objective Optimization dispatching of microgrid based onimproved particle swarm algorithm, 2021) constructed a multi-objective optimal scheduling model for grid-connected microgrids, considering operation cost and environmental protection cost as objectives.
The objective of the microgrid is to minimize the system cost and carbon emissions simultaneously. A new self-adaptive multi-objective genetic algorithm that fully considers the degree of population convergence is proposed methodologically. The main contributions are twofold: 1.
From the table, it can be seen that the microgrid optimal scheduling under multi-objective constraints has a total cost of 50.73 USD for original MOPSO algorithm (before improvement) and 48.49 USD for IMOPSO (after improvement).
Modern microgrids have prominent uncertainty and complex composition, which bring difficulties to the sizing optimization before its utilization. Therefore, uncertainty handling and multi-objective consideration are indispensable when determining the optimal sizing of microgrids .
With the increasing penetration of renewable energy in power systems, the multi-objective optimal scheduling of microgri…
The stability and economic dispatch efficiency of photovoltaic (PV) microgrids is influenced by various internal and ext…
Abstract Microgrid serves as a promising solution to integrate and manage distributed renewable energy resources. In thi…
In this connection, Multi-Objective Optimization (MOO) Algorithms can be used as an intelligent control system for a mic…
This section presents a multi-objective optimization model for planning and operating the microgrid. The model considers…
This study designs a multi-objective planning optimization problem to determine the optimal sizes of a multi-energy micr…
The microgrid energy management (MGEM) problem in the presence of hybrid sources of energy and storage units is approach…
In this paper, we propose a multi-objective sizing optimization method to optimize the economy-environmental comprehensi…
For microgrids with uncertainties in renewable energy generation and normal load demand, a robust multi-objective and mu…
A multi-strategy Improved Multi-Objective Particle Swarm Algorithm (IMOPSO) method for microgrid operation optimization …
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