Optimal Operation of AC-DC Hybrid Microgrid Considering Source-Load Uncertainty

Against the backdrop of vigorously developing renewable energy across the country, the form of microgrids can achieve efficient application of distributed power sources. The AC-DC hybrid microgrid is relatively complex, with strong randomness in distributed clean energy sources such as wind and light, and flexible and variable electricity demand on the user side, which poses great challenges to the stable operation of the microgrid. In this paper, considering the uncertainty on both sides of the source and load, and introducing the demand side response to achieve optimal operation of the AC-DC microgrid. The first is to use multi-scenario analysis technology to simulate the uncertainty of wind, light and load, and then update the load forecasting level through demand-side response. Then, a multi-objective optimal scheduling model of microgrid including power generation cost and environmental cost is established, and multi-objective particle swarm optimization (MOPSO) is used to solve the model. Finally, an example is used to verify this method. The results show that the required economy and environmental protection can be guaranteed under certain constraints.