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New power system that takes strong smart grid as the platform is supported by source-grid-load-storage interaction and multi-energy complementarity, because the system is green, efficient, flexible and digital. This paper focused on the research of multi-dimensional evaluation method of the new power system. Firstly, the internal and external elements of the new power system were sorted out, and KPI indicators were obtained through the analysis of the logical relationship of indicators. Secondly, this paper innovatively proposed to use “Generation Side Grid and Load” (GSGL) as the internal element and “Reliable Efficient Green and Intelligent” (REGI) as the evaluation effect. Meanwhile, this paper innovatively put forward a new multi-dimensional evaluation system of power system, with 4 secondary indicators and 16 tertiary indicators. Finally, the AAHM-weighted grey relational TOPSIS comprehensive evaluation model was constructed, and the validity and applicability of the proposed evaluation index system and model method were verified by numerical examples. Through the example analysis, under the new multi-dimensional evaluation system of power system, the comprehensive evaluation results and ranking of different provincial power enterprises were obtained. This paper provides theoretical support to further promote the transformation and upgrading of energy and electric power industry and power grid enterprises to speed up the construction of safe, reliable, green, efficient and intelligent modern power grid.

This paper proposes a double-tier bidding(DTB) model on the generation side to introduce gas-fired units(GFU) into the market bidding by analyzing the electricity cost of the whole society and the generation cost of gas-fired units. With the introduction of a sub-process, the GFUs are incorporated into the main bidding process or the sub-process independently, and the bidding prices of each process are cleared separately. Based on the traditional market bidding algorithm, the DTB model can effectively solve the problem of increasing market price after units with higher generation costs join the market. Besides, transmission congestion and power shortages during peak hours caused by the drawback of market mechanism can be avoided. In addition, recessive electricity price subsidy from markets is visualized, realizing the non-price advantages of low-emission units. Thus, the promotion of the overall optimal social benefits and the implementation of the low-carbon development concept are realized. Moreover, the algorithm incorporates a transverse comparison method of generation costs to restrict the market speculation of power suppliers. Numerical example shows that this algorithm is effective and feasible, and can be adopted in other areas with similar market characteristics.