论文部分内容阅读
随着越来越多的微网接入电力系统,逐渐形成了一个个聚集在一定区域的彼此联系紧密的区域多微网系统.通过组成区域多微网系统的各个微网之间的功率交互和微网内多微源的出力协调,可有效提高区域多微网系统的总体运行效益.为此,针对含冷热电联供(combined cooling heating and power,CCHP)系统的区域多微网系统,建立考虑微网间功率交互和微源出力协调的优化调度模型.该模型既计及了微网与配电网、微网与微网之间的功率交互,也计及了微网之间的功率交互对微网内部制冷或制热的微源出力的影响,目标是多微网系统的总体运行成本最低.通过算例分析比较各微网独立运行方式和多微网协调运行方式下微网内部微源的出力情况和多微网的总运行成本.算例结果表明,考虑微网间功率交互会影响CCHP型区域多微网内部微源出力,并促进多微网总运行成本降低,由此验证了所提出模型的有效性与经济性.“,”ABSTRACT:As an increasing number of microgrids are integrated to the power system, many regional multi- microgrids systems emerge gradually with microgrids being clustered in a certain region. By the power interaction among microgrids and the coordination of micro-sources output in each microgrid, the total operation efficiency of the regional multi-microgrids system can be improved. Therefore, an optimal dispatching model of regional multi-microgrids system with CCHP(combined cooling, heating and power) considering the power interaction among microgrids and the power output coordination of micro-sources was built. This model not only took into account the power interaction between microgrid and the distribution grid as well as the one among microgrids, but also considers the influence of the power interaction among microgrids on the output of inner refrigeration and heating micro-sources in microgrids. The objective is the minimal total operation cost of multi- microgrids system. In the case study, the output of micro- sources in microgrids and the total operation cost of multi-microgrids system under independent operation mode and the coordination mode of each microgrid in multi-microgrids system were analyzed, and the total regional multi-microgrids were compared. The test results show that the outputs of inner micro-sources of microgrids would be influenced in the case that the interactive power among microgrids is under consideration, and the total operation cost of CCHP type regional multi-microgrids system would be reduced by the coordination optimization of multi-microgrids, which showed the effectiveness and economy of the proposed model.