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Electricity infrastructure touches us all - the key challenge, pertinent to this panel session, is to enable secure and very high-confidence sensing, communication and control of a heterogeneous, widely dispersed, yet globally interconnected system, which is a serious technological problem in any case. It is even more complex and difficult to control it for optimal efficiency and maximum benefit to...
The ability of the liberalised energy markets to trigger investment in the generation capacity required to maintain an acceptable level of security of supply risk has been - and will continue to be - a topic of much debate. Modelling the dynamics of investment in generation capacity can inform this debate. More precisely, if investment is viewed as a negative feedback control mechanism with energy...
This paper employed the theory of real option to analyze investment decision-making for power generator in a completely competitive power market, a investment threshold model considered power bidding of power generator and their quadratic production cost function was presented. The results of the model were simulated and analyzed with the Matlab software, and the results indicated that the main conclusions...
Traditionally, the objective in undertaking a generation expansion planning (GEP) process has been to minimize the expected sum of yearly discounted costs (incorporate i.e., construction costs, operating costs, salvage value, etc.). Now, the objective is to apply GEP to today's competitive electricity markets in order to maximize the profits of individual GENCOs (i.e., the revenues based on market...
In this paper we discuss the generator investment problem for a newly proposed energy-only market structure comprising both spot and forward sub-markets as an alternative long-term resource adequacy solution. The investment problem is modeled as stochastic dynamic programming problem for a profit maximizing generator over a long time horizon. The long-term growth and short-term deviation of demand...
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