Economic Load Dispatching Based on Neural Network Algorithm Considering Valve Point Effect
The economic load dispatching(ELD)problem has non-convex and non-smooth characteristics.It is an important topic in power system operation and meta-heuristic algorithm research.The paper proposes an ELD solving model based on neural network algorithm(NNA),which takes into account the valve point effect of generator units,and includes the coal consumption cost caused by the valve point effect.An economic dispatch model considering the valve point effect constraint is established.Taking the total scheduling cost as the objective function,minimizing the total operating cost while meeting the load demand and operation con-straints.By simulating IEEE-30,IEEE-39,and IEEE-118 systems,the search ability and iterative convergence were analyzed.The results are compared with those of other methods to verify the effectiveness and applicability of the proposed method.
economic load dispatchingneural networkvalve point effectoperational constraints