Low-Carbon Flexible Planning of Power Grid Using Alternative Energy Storage

Although the grid flexible planning method takes into account the uncertainty factor and can obtain a better scheme, its planning results are influenced by the penalty function coefficient and are more subjective. Along with the continuous reduction of energy storage costs and the enrichment of grid-side application scenarios, a low-carbon flexible planning method for the grid using alternative energy storage investments for equivalent penalties was proposed. First, based on the historical wind power and PV output data, the improved Kernel K-means algorithm is used to generate typical scenarios of scenery output. Secondly, considering multiple objectives such as investment cost, operation cost, wind and PV abandonment penalty cost and carbon emission, a low-carbon flexible planning model for power grid is established to solve the line tide crossing limit problem in N-1 situation by allocating grid-side alternative energy storage. Finally, the simulations based on the improved IEEE-14 bus system show that the proposed method is able to obtain a lower cost grid planning solution, while effectively reducing wind and PV and carbon emissions, and balancing the security and economy of the grid planning solution.