عنوان مقاله [English]
In the electric power industry, as one of the key energy industries, the electrical energy generated in power plants is transmitted to distribution substation via electric power transmission lines. Finally, it is delivering to consumers. The purpose of construction of the transmission lines and distribution substations is to meet the needs of customers, increase stability and reliability of the system, and exchange with neighboring countries. Irans overhead lines projects (transmission and sub-distribution) are monitored by regional electric companies of the country with the aim of supplying electricity to different provinces in order to meet energy requirements and customer satisfaction. The main phases of the projects are Initial phase, Design and Engineering phase, Procurement phase, Implementation phase, and the Final phase. In each phase, projects can be faced with specific and effective risks that can affect their aims. These risks caused the majority of the mentioned projects to face with events that each of them can increase the amount of time, cost, and decrease the quality in turn. Perhaps, if risk management is done effectively, the success of these projects, at least in terms of time and cost, will increase. However, with project managers that act only on the basis of their taste and knowledge, the risk management will not have the proper output.
Risk identification of these projects on one hand and their ranking on the other hand as parts of complex process of risk management are the major steps of a proper evaluation and timely and appropriate response to these risks. Therefore, in this study, risks are identified based on the librarian studies, semi-structured interviews with experts, and work breakdown structure (WBS). List of identified risks contains 385 risks. Then, according to developed methodology based on PMBOK standard, flexible qualitative analysis was
performed, and risk scores in each of areas of Time, Cost, Quality, Time-Cost, Time-Quality, Quality-Cost, and Time-Cost-Quality were accomplished. After analyzing, the 84 key risks are identified. At the end, the key risks are ranked using "Time-Cost-Quality" score and clustered using K-Means method. The results showed Execution and Contractor Management category
include the most number of risks.