1. Formulation of power generation plan: Since the output power of wind power is difficult to accurately predict, the uncertainty of wind power needs to be considered and processed in the day-ahead, real-time and dispatch stages of the microgrid to ensure the balance of supply and demand in the microgrid. For example, methods based on probabilistic prediction models can be used to estimate wind power generation and formulate corresponding dispatch plans.
2. Energy dispatch strategy: The uncertainty of wind power will also affect the energy dispatch strategy of microgrid. Due to the uncertainty of wind power output power, it will cause changes in the operation of other power generation equipment in the microgrid, thereby affecting the load satisfaction of the microgrid. Therefore, it is necessary to develop reasonable energy dispatch strategies for the uncertainty of wind power to maximize the power generation potential of wind power while ensuring the balance between supply and demand in microgrids.
3. Power quality and stability: The uncertainty of wind power will also affect the power quality and stability of microgrids. When the power generation of wind power suddenly changes, it will cause the voltage, frequency and other power parameters of the microgrid to fluctuate, thus affecting the power supply quality and stability of the microgrid. In order to solve this problem, technical means such as power electronic devices and energy storage equipment can be used to adjust the power parameters of the microgrid to ensure the stable operation of the microgrid.
4. Economic analysis: The economics of microgrids are also affected by the uncertainty of wind power. Due to the uncertainty of wind power, additional costs will be incurred in the dispatch of non-wind power equipment in microgrids. Therefore, in the planning and design of microgrids, the uncertainty of wind power needs to be fully considered and analyzed to maximize the economy of microgrids.