multi-microgrid optimal scheduling method based on an improved genetic algorithm

The invention relates to a multi-microgrid optimal scheduling method based on an improved genetic algorithm. Aiming at the uncertainty of energy scheduling in a microgrid group, a strategy for adaptively adjusting a mutation operator is introduced into a genetic algorithm, so that the mutation operator has a large value at the early stage of the algorithm, the search range of algorithm optimization is enlarged, and the global optimization capability of the algorithm is improved; And along with the iteration, the variation operator is gradually reduced, so that the algorithm is finely searchedin a small range, and the convergence capability of the algorithm is improved. The method can effectively improve the economical efficiency and reliability of micro-grid group operation. 本发明涉及种改进遗传算法的多微电网优化调度方法。针对微电网群内能量调度的不确定性，本发明将种自适应调整变异算子的策略引入到遗传算法中，使得变异算子在算法早期，具有较大的值，增大算法寻优的搜索范围，提高算法的全局寻优能力；而随着迭代的进行，变异算子逐渐减小，使算法在小范围内精细搜索，提高算法的收敛能力。本发明能够有效提高微电网群运行的经济性与可靠性。