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首先建立采用迭代费用惩罚系数的单目标水火电系统环境经济优化调度模型;其次为解决梯级水电站由于时间耦合性和空间相关性而带来的同时处理发电流量约束、库容约束和动态水量平衡约束的难题,给出约束条件的启发式处理方法,使得在满足上述复杂约束的同时,更利于最优解的搜寻。对总装机容量为2 975 MW的水火电系统(包含一个含4水电机组的梯级水电站和3个火电机组)进行仿真计算,结果不仅表明了该启发式约束条件处理方法的可行性和有效性,而且对比进化算法和差分进化算法所得结果,每天的燃料费用分别降低了4 303.96$和1 311.96$,污染气体排放量分别减少8 231.37 lb和1 522.37 lb。
Firstly, the optimization model of environment-based economy for single-target hydro-thermal power system with iterative cost penalty coefficient is established. Secondly, to solve the problem that the cascaded hydropower stations are constrained by simultaneous generation constraints, storage capacity constraints and dynamic water balance due to time coupling and spatial correlation The problem of heuristic processing is given, which makes it more conducive to the search of the optimal solution while satisfying the above complex constraints. The simulation results of a hydro-thermal power system with a total installed capacity of 2 975 MW (including a cascade hydropower station with 4 hydropower units and 3 thermal power units) not only show the feasibility and effectiveness of the heuristic constraint treatment, Furthermore, comparing the results obtained from evolutionary and differential evolution algorithms, the daily fuel costs were reduced by 4 303.96 and 1 311.96 respectively, while the emissions of pollutant gases were reduced by 8 231.37 lb and 1 522.37 lb, respectively.