面向农村微能网的评价指标构建及应用.

The rural micro-energy-grid with electricity-heating-cooling-gas was a hot issue in the field of energy. Most researches have been done on the modeling, planning and operation of micro-energy-grid. But the planning evaluation system of rural micro-energy-grid is still lacking. To evaluate the planning performance on rural micro-energy-grid, the planning evaluation system of rural micro-energy-grid was established in this study. The planning evaluation system contained four primary indicators, seven secondary indicators and fourteen tertiary indicators. Specifically, the four primary indicators were the reliability, economics, environmental protection and benefit. The seven secondary indicators were the electrical reliability, heat and cool reliability, system economics, environmental protection of energy-supply equipment, environmental protection of energy-storage equipment, stable benefit, environmental benefit. The fourteen tertiary indicators were the electrical deficiency rate, heat deficiency rate, cool deficiency rate, initial investment cost, maintenance cost, ratio of price to available life on the equipment, pollutant emission, installation rate of renewable energy, installation rate of heating-cooling-electricity for supply unit, replacement cycle rate of battery storage, replacement cycle rate of cool storage, replacement cycle rate of heat storage, electrical power exchange cost with distribution network, environmental pollution penalty cost. The formula of each indicator were given for these 25 parameters. The weight of each evaluation indicator was solved using an entropy method, indicating a flow chart for the implementation. The weight distributions of these indicators were obtained in the micro-energy-grid, representing the evaluation value of each planning scheme. In the actual planning process of a project, it was usually focused on small parts of the indicators, depending on the environmental condition, funding and the needs of the project. It was not possible to select the whole planning scheme fully complying with these 25 indicators in the actual evaluation. Therefore, an expert evaluation method was also establish to show the weight table of expert evaluation indicators. The new weight/ values of the different indicators in the planning schemes were obtained combining the entropy and the expert evaluation method, as well the new evaluation values of the whole planning schemes on the rural micro-energy-grid. Three planning schemes of a village in the western China were selected as a case study to verify the proposed planning indicators in this paper. The loading data of the heating-cooling-electricity in four seasons was given before the simulation, as well the time-of-use electrical price and equipment parameters of the rural micro-energy-grid. The results showed that the evaluation values of the scheme 1, 2 and 3 were 1.32, 1.14 and 2.47, respectively,according to entropy method. In the scheme 2,there was the minimums in the installed rate of renewable energy and heating-cooling-electricity supply unit, whereas in the scheme 3, the maximums considering all the evaluation indicators were the reliability, economics, environmental protection and benefit. Therefore, the expert system 1, 2, 3 and 4 focused on the reliability, economics, environmental protection and benefit, respectively. The whole planning schemes of the rural micro-energy-grid were also re-evaluated by combining the method of expert evaluation and entropy. The comprehensive evaluation value of scheme 2 has the highest value because the expert system 3 focused on the environmental protection indicators. In experts 1, 2 and 4, the comprehensive evaluation value of scheme 3 has the highest value. If the project need is the reliability, economics and benefit, scheme 3 can be the best choice. The findings demonstrated that the propose devaluation system can efficiently evaluate the planning scheme of the micro-energy-grid, and provide an insightful applied guidance for the construction and planning of micro-energy-grid in rural areas. [ABSTRACT FROM AUTHOR]