4 research outputs found
An Investigation of Areva Inc. Huge Financial Loss in the Aftermath of Fukushima Nuclear Disaster
Areva is a French multinational company, mainly known for its nuclear power activities. This Company is active in all parts of value chain of nuclear energy. After Fukushima disaster, this company faced a huge financial loss. This study investigates the reasons for the loss and how Areva could manage the loss better. Diversification, increasing the flexibility of its human resource management, not taking any unsafe bet after 2008 vulnerable global market, adopting more realistic and risk-averse approach for estimation of the cost of its nuclear projects are suggested as a preventive and corrective measures
An Investigation of Areva Inc. Huge Financial Loss in the Aftermath of Fukushima Nuclear Disaster
Areva is a French multinational company, mainly known for its nuclear power activities. This Company is active in all parts of value chain of nuclear energy. After Fukushima disaster, this company faced a huge financial loss. This study investigates the reasons for the loss and how Areva could manage the loss better. Diversification, increasing the flexibility of its human resource management, not taking any unsafe bet after 2008 vulnerable global market, adopting more realistic and risk-averse approach for estimation of the cost of its nuclear projects are suggested as a preventive and corrective measures
Integrated transmission systems convex optimal power flow considering security constraints
In this paper, a new voltage stability constrained optimal power flow (VSC-OPF) model is developed using semidefinite programming (SDP), which optimally calculates the cost of increasing stability margins. The main advantages of the proposed method are, it a) incorporates voltage stability constraints in a convex optimal power flow (OPF) formulation, b) always finds the optimal solution in comparison with probable local optimum solutions while using other non-convex methods, and c) can compare the cost of increasing loading margin using convex relaxation. The effectiveness of this method is evaluated using the IEEE 14-bus and IEEE 118-bus test systems with various network constraints. The results show that the proposed convex formulation find the optimal operating schedule and critical loading point. The effect of incorporating voltage stability margin can also be examined using the proposed method