The Weizigou Au deposit in Heilongjiang Province, NE China, located in the southern Jiamusi Massif, shows similarities to IOCG deposits. To determine the mineralization age, sources of ore-forming materials and genetic type, pyrite Re-Os dating, S-Pb isotopic analysis, in situ sulfur analysis and LA-ICP-MS analysis of trace elements in magnetite, pyrite and pyrrhotite were conducted. Four pyrite samples yielded a Re-Os isochron age of 197 ± 11 Ma, implying the occurrence a metallogenic event in the Early Jurassic. The δ34S values of sulfides display a relatively narrow range from 4.70‰ to 12.83‰ (mainly 9.90‰ to 12.83‰), which may be accounted for the extensively exposed granitic gneiss and meta-gabbro, with δ34S values of 7.44‰ to 8.44‰ and 4.37‰ to 10.54‰, respectively. Sulfide lead isotopic compositions have 206Pb/204Pb = 18.605–20.136, 207Pb/204Pb = 15.637–15.710 and 208Pb/204Pb = 38.534–39.129, indicating that the lead was derived from a mixed source. Magnetite has the characteristics of a lower Ti content and higher Zn content, indicating that it should be of hydrothermal origin, which may be related to IOCG-type mineralization. Pyrite and pyrrhotite have a Co/Ni ratio greater than 1 and a lower As content, indicating that they are of magmatic hydrothermal origin. Integrating the above analysis results, we inferred that the Weizigou Au deposit experienced the IOCG-type mineralization in the Middle-Late Permian, associated with magmatic-hydrothermal mineralization in the Early Jurassic.
The large-scale access of distributed generation (DG) makes microgrids gradually become a key part of smart grids. Geographically adjacent microgrids in the region are connected to each other to form a regional multi-microgrid (MMG) system. However, how to achieve the communication between the sub-microgrids and the energy management within the system becomes very important. Therefore, this paper focuses on the optimal dispatch problem in the operation of regional multi-microgrid. Firstly, the typical structure and internal composition of regional multi-microgrid system are introduced. Secondly, combined with the relevant theory of topology identification, a dynamic networking strategy of regional multi-microgrid based on graph theory is designed. Finally, based on the dynamic networking strategy of regional multi-microgrid, a dynamic networking strategy of regional multi-microgrid considering economy and active loss is proposed. In the operation process of regional multi-microgrid, the price-based demand response (PBDR) strategy is introduced to optimize the operation process of regional multi-microgrid with the goal of optimal economic operation and lowest total active power loss, and the results after solution are analyzed by TOPSIS method. The simulation results show that through dynamic networking, the system operating cost of the regional multi-microgrid is reduced by about 39.4% and the active power loss is reduced by about 10.6% under normal operation, which reduces the active power loss of the system while ensuring economic operation, which verifies the effectiveness and feasibility of the model.