The Research On Plant-Level AGC System In Thermal Power Plants

The situation that "separation between the firm and the net, bidding online" has been formed. It is an effective means to enhance the competitiveness of generation enterprises that the power plants must proceed from themselves to improve the efficiency of electricity generation and to minimize the cost of power generation based on meeting the load requirement of the dispatching center. Plant-level load optimal allocation system of the thermal power plant is proposed under this situation.We study of the coal-fired unit and optimal load distribution of thermal power units, there are three main parts in this paper. Firstly, because the coal consumption curve of the thermal unit by the traditional way, which are incompatible with the actual operation situation of the unit. For this problem, a method of coal consumption curve fitting online of the thermal power plant units based on genetic algorithm is proposed. In this method, quadratic function is employed as the objective function, the unit’s actual coal consumption curves are fitted, and comparing the proposed method with least squares method, the results indicated that fitting effect of the former is better than the latter, and further indicate that the proposed method to do curve fitting can best approximate known data in a certain significance, and they can real-timely reflect the interdependence between unit generation and coal consumption. Secondly, the dispatching center puts forward higher requirements for power plant, it is not only need to meet totally power load, but also need to more faster. For traditional plant-level load optimal allocation system based on economic index just can ensure economic optimum but cannot meet the fast index, comprehensive consideration economic and fast index, this paper establish multi-objective load optimal model under equation of power balance, inequality constraint condition of power, load rate, etc.. At last, we take the dynamic programming as optimization, using C++producing procedure to solve the multi-objective load optimal model. The illustrative example shows that, by multi-objective load optimal model is more reasonably and more suitable for requirements of dispatching center.