Optimal sizing of distributed generation in micro-grid considering Energy Price Equilibrium point analysis model

As the problem of global warming is being more and more serious, the low-carbon power technologies have aroused wide concerned. Because the Micro-grid technology is one of the main technologies to realize mass application of distributed generation, it´s very important to put the low-carbon factor into the generation planning of micro-grid. This paper use the analysis method of levelized cost of electricity(LCOE) to compare the variation trends of power supplies which use different energy sources to generate in the future, and to build the Energy Price Equilibrium point analysis model (EPE) of high-carbon energy and low-carbon energy. Based on the research above, while consider the energy prices trend, the randomness and waviness of wind and solar energy, build the full-life cycle and dynamic model of optimal sizing in an Integrated Power Generation System. In three situations which include law-carbon scene, equilibrium and high-carbon scene, use the modified particle swarm Method to solve the optimization. According to simulation, the optimal sizes of power generation are different when planning period start from different initial year. The results show that the balance scene is most suitable for the clean energy consumption, which lead an equilibrium point of energy consumption and carbon consumption. The reasonable policy guidance can promote transformation from high carbon scenario to a low-carbon scenario, which makes the power grid planning programs to meet the needs of sustainable development more effective.