With the utility deregulation and market operation in China, economic factor is becoming more and more important to the evaluation and decision making of power system projects. As an important characteristic of the electric market, uncertainty is an indispensable part of project evaluation and decision making. Considering that the traditional decision making theories fail to solve the uncertainty problem entirely, this paper applies the interval theory to evaluate and make decision on projects. The interval net present value (INPV) theory is used to conduct economic evaluation, and an interval analytic hierarchy process (IAHP) and interval binary programming based method is proposed to perform project decision-making. Case study has proved the effectiveness of the proposed method.

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To meet the growing requirement of multi-source data handling, this paper carries out the application and research of data fusion technique in network planning. The fundamental theory hierarchy of data fusion working for power system planning is established, basing on it this paper analyses the fusion model in power system planning, and then designs an application case to explain the concrete fusion process. It is proved that the application of multi-source data fusion helps to make a fuller and more effective use of the massive information resource of data systems, so that the planning decision is more reasonable.

Abstract. With the development of UHVAC and UHVDC power transmission technology, the power receiving proportion of receiving-end grid is increasing, the security and stability characteristics of receiving-end grid become more and more complex. Researching on the layering and zoning operation scheme of receiving-end power grid after feeding UHVAC and UHVDC transmission systems is useful for the safety and stable operation of power grid. In this paper, comprehensive evaluation indexes of district grid are established by considering economy, security, stability and reliability of the system. An optimal layering and zoning scheme is chosen from multiple layering and zoning alternatives through the multi-objective decision-making method of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) based on grey relational theory. The feasibility and effectiveness of the proposed are verified through the actual power grid, which can provide technical support for layering and zoning optimization of receiving-end power grid after UHV AC/DC line connection.