Abstract
Microgrid is a new type of power supply structure and will play an important role in ensuring power supply. Because of the high cost of micro grid construction, this is very necessary to determine the lowest capacity configuration and realize the best function configuration, which is an urgent problem in engineering construction. Therefore, this paper first establishes simulation analysis model, puts forward economic optimization model and constraints, and formulates system configuration scheme and construction cost. The results show that the method is feasible and effective. This scheme not only reduces the operation cost of the system, but also provides a reference for the construction of microgrid engineering.
Highlights
Microgrid is an effective way to deal with the current energy and resource problems
Microgrid mainly consists of distributed generation, load, energy storage device and control device. This is a new network structure in power grid construction. Renewable energy such as wind energy and solar energy on the island is rich in resources, but its characteristics of intermittency and volatility bring great difficulties to system operation scheduling
The main power supply for islands is to connect the onshore power grid by submarine cables, and diesel generators are arranged on the islands
Summary
Microgrid mainly consists of distributed generation, load, energy storage device and control device This is a new network structure in power grid construction. The main power supply for islands is to connect the onshore power grid by submarine cables, and diesel generators are arranged on the islands. Literature [1,2] used the enumeration method to obtain the photovoltaic and energy storage capacity configuration scheme that meets the reliability constraint of the power supply of the microgrid system and has the lowest cost, but the optimization efficiency is low. Aiming at the optimal allocation of distributed power capacity proposed in engineering construction, this paper considered various constraints and analyze the influence of system parameters on the optimization results
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