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An electric power supplier in the deregulated environment needs to allocate its generation capacities to participate in contract and spot markets. Different trading portfolios will provide suppliers with different future revenue streams of various distributions. The classical mean-variance (MV) method is inappropriate to deal with the trading portfolios whose return distribution is non-normal. In...
This paper presents a dispatch method considering the power output variations of wind turbines in power systems. Both analytic method and Monte Carlo simulation have been used to calculate the probability of real power outputs of wind turbines. For the reactive power, asynchronous wind turbine model is used to describe the relationship between the injected reactive power and the active power. In the...
A power supplier in deregulated environment needs to allocate its generation capacities to participate in contract and spot markets. The well-known mean-variance method is inappropriate to deal with assets whose price distribution is non-normal. In order to model the electricity assets with different distributions into portfolio optimization, this paper proposes a stochastic programming approach based...
Transmission expansion planning (TEP) has faced a significant change since the deregulation of power systems. It becomes even more complicated due to the conflicting objectives and uncertainties which have been exposed by the power industry restructuring. In this paper, a value-based transmission expansion planning algorithm is proposed. The algorithm makes use of the probability density functions...
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