Optimization Research On Investment Opportunity Of Power Grid Construction Project Based On Life Cycle Cost

This paper presents a optimization methodology of power project investment opportunity based on life-cycle cost(LCC). The core problem is the analysis of LCC and the establishment of the investment opportunity model.During the LCC analysis, considering the collection of data is very difficult in the actual construction plan, so some experience value or empirical formula is used to replace some of the data. According to the project life cycle, the model will be divided into three phases:the construction cost, the operation cost and the final salvage value.Based on the LCC analysis, the pure integer linear programming model of the investment opportunity of the single transmission and substation engineering is established. The object of the model is to maximize the overall benefit of the new substation, with constraints considering that the substation must be constructed during the planning year, and the number of investment is only one which is reflecting in the variables constraints. Meanwhile, it shows that through the sensitivity analysis, the obvious uncertainty over the investment opportunity is load prediction and sale-purchase price difference. In a certain period, the price is relatively stable, so the greatest uncertainty is the load.The object of the model of a number of transmission projects is to maximize the overall benefit of all the new substations throughout the district, with constraints considering capacity-load ratio in addition to the optimization variables constraints. The model is more realistic.Since the introduction of capacity-load ratio, no solution may easily happen due to the tight constraint. Therefore, consider the purchased electricity when establishing the model of a number of transmission projects based on the model above. This model introduces the purchased electricity as the optimization variable, which makes the model more complete, avoiding the situation of no solution. The sale-purchase price difference of purchased electricity is introduced, which reflecting the tie-line power transmission cost in the final earnings. Further up, the power constraint of the contact line itself is considered.Finally, take the actual projects for example, using the CPLEX optimization package to calculate and verify the proposed model. The result shows that the model established in this paper is of effectiveness and accuracy.