A Coordinated Planning Study of Integrated Resources for Power Grids based on Discrete Multiple Swarm Invasive Weed Optimization

Conventional grid-integrated resource coordination planning methods are based on resource scheduling, which is affected by weather conditions, grid load demand, and other factors, and resource coordination planning is not effective. Therefore, a coordinated planning method for grid-integrated resources based on discrete multiple swarm invasion weed optimization is designed. The planning of integrated grid resources can avoid peak load capacity, analyze the power saving between grid demand-side resources and power supply-side resources, and adjust the integrated resource planning cost to ensure the reliability of grid resource planning. Based on the discrete multi-group invasive weed optimization to build a resource coordination planning model, the long-term marginal cost of grid integrated resource coordination planning, and integrated energy cost as the objective function, we aim to meet the economic needs of coordination planning. The grid-integrated resource coordination planning constraints are established, and the scheduling strategy and timing of various resources are considered comprehensively so that the grid can maintain safe and stable operation under various operating conditions. Comparative experiments are conducted to verify that this method is more effective in coordinated planning and can be applied in real life.