Abstract
In recent years, coal-fired power plants contribute the biggest part of power generation in China. Challenges of energy conservation and emission reduction of the coal-fired power plant encountering with a rapid growth due to the rising proportion of renewable energy generation in total power generation. Energy saving power generation dispatch (ESPGD) based on power units sorting technology is a promising approach to meet the challenge. Therefore, it is crucial to establish a reasonable and feasible multi-index comprehensive evaluation (MICE) framework for assessing the performance of coal-fired power units accessed by the power grid. In this paper, a hierarchical multiple criteria evaluation system was established. Except for the typical economic and environmental indices, the evaluation system considering operational flexibility and power quality indices either. A hybrid comprehensive evaluation model was proposed to assess the unit operational performance. The model is an integration of grey relational analysis (GRA) with analytic hierarchy process (AHP) and a novel entropy-based method (abbreviate as BECC) which integrates bootstrap method and correlation coefficient (CC) into entropy principle to get the objective weight of indices. Then a case study on seven typical 600 megawatts coal-fired power units was carried out to illustrate the proposed evaluation model, and a weight sensitivity analysis was developed in addition. The results of the case study shows that unit 4 has the power generating priority over the rest ones, and unit 2 ranks last, with the lowest grey relational degree. The weight sensitivity analysis shows that the environmental factor has the biggest sensitivity coefficient. And the validation analysis of the developed BECC weight method shows that it is feasible for the MICE model, and it is stable with an ignorable uncertainty caused by the stochastic factor in the bootstrapping process. The elaborate analysis of the result reveals that it is feasible to rank power units with the proposed evaluation model. Furthermore, it is beneficial to synthesize the updated multiple criteria in optimizing the power generating priority of coal-fired power units.
Highlights
In recent years, increased electricity consumption demand in China has been restricted by the “new normal” economic situation
The corresponding results were calculated by replacing BECC with M2 to M5 weighing method respectively in the developed hybrid evaluation model illustrated in Figure 3, while the analytic hierarchy process (AHP) weight remained unchanged during the combing weighting process
Ahybrid hybrid covering evaluation model integrating grey relational analysis (GRA) and a combined weight method is developed and a novel weighting method BECC is proposed based on an entropy method
Summary
In recent years, increased electricity consumption demand in China has been restricted by the “new normal” economic situation. The traditional evaluation method concerns only economic index such as coal consumption rate which is usually used as equal incremental principle in the power dispatching system, and for different power units, the power generation and utilization hours are allocated in [9]. For assessing the comprehensive performance of coal-fired power units, we propose a multiple index evaluation system considering economic, environmental, flexibility and. A novel integrating objective weighting method (BECC) was developed by a multiple index evaluation system considering economic, environmental, flexibility and power combining bootstrap method, entropy and correlation coefficient weighting method. A novel integrating objective weighting method (BECC) was developed by combining paper is organized as follows: in Section 2, evaluation indices system is introduced. The symbols used in this paper are listed in the Nomenclature section
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