Research on capacity optimization of grid-connected microgrid

Abstract

With the increasing global energy demand, increasing the development and utilization of renewable energy is the key to solve the problem of energy shortage and environmental pollution. The development of intelligent microgrid which mainly absorbs renewable energy is an important means of renewable energy development and utilization, and also an important direction of future development. Firstly, a reliability evaluation index for capacity allocation of grid-connected microgrid is constructed. The mathematical model of each unit of microgrid and the optimal capacity allocation model of grid-connected microgrid are established. Finally, the grey Wolf algorithm is used to solve the problem. Under the same reliability constraints, the optimal configuration results of off-grid and grid-connected microgrids in this region are obtained. The results show that the economic cost of grid-connected microgrid is lower.

Research on Capacity Configuration for Green Power Substitution in an Isolated Grid Containing Electrolytic Aluminum

“…This is achieved by judiciously allocating capacities among wind turbines, PV modules, energy storage systems, and thermal power units, while also considering the system's economy. The objective function for the green power alternative isolated grid with electrolytic aluminum is presented in Equation (11).…”

“…Literature [10] optimizes the power capacity allocation for an integrated wind, solar, hydrogen, and storage power supply system, establishing a model to minimize unit power generation costs. Literature [11] formulates a mathematical model for each unit in a grid-connected microgrid, proposing an operational strategy and a comprehensive capacity optimization objective function considering average annual investment costs, operation and maintenance costs, replacement costs, outage compensation, power purchase costs, operational revenue, and end-of-life recycling benefits. Literature [12] proposes a wind-solar-hydrogen microgrid capacity allocation method based on cooperative games, considering the uncertainties of wind and solar energy, and aims to maximize the monthly net return on invested capacity.…”