考虑系统经济性和可靠性的机组组合模型及算法

Unit Commitment Model and Algorithm Considering System Economy and Reliability

为了更好地平衡机组组合问题的经济性和可靠性,提出一种同时考虑系统运行费用和稳定运行能力的机组组合模型。该模型以系统的总运行成本作为优化目标的同时,引入系统可靠率作为衡量系统可靠性的指标。为增强该模型的实用性并提高求解能力,采用基于几何加权法的评价函数,将多目标规划的目标函数转化为单目标函数。利用改进的自适应遗传算法(AGA)进行求解,制定禁止近亲策略替代变异算子,避免近亲个体间杂交,以防破坏种群多样性。最后,通过对测试系统进行计算,验证了所提模型与方法的有效性和准确性。

In order to better balance the economy and reliability of unit commitment,a model considering both system operating cost and the capability of stable operation is proposed.The model takes the total operating cost of the system as the optimization objective,and introduces the system reliable rate as the index to measure the reliability of the system.To enhance the practicality of the model and improve the ability of the solution,the objective function of multi-objective programming is transformed into a single objective function by using the evaluation function based on geometric weighting method.An adaptive genetic algorithm(A GA)is used to solve the problem,and the prohibition of close relatives strategy is adopted to replace the mutation operator,avoiding the hybridization between close relatives and destroying the diversity of the population.Finally,the validity and accuracy of the model and algorithm are verified by testing the system examples.