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Identifying the consumption patterns of electric customers and grouping them to classes according to their load characteristics can be very meaningful for power supply and demand side management in smart grid. Previously, tariff structures are mainly based on the type of activity. However, the type of activity and electrical behavior of the customer have poor relationship. Using clustering techniques...
Wind power generations (WPGs) are different from traditional generations for their considerable fluctuations. It is challenging to describe the status of a system with power fluctuation injections, especially when considering complicated network constraints. This paper proposes a combined time-and-frequency-domain (CTFD) model to evaluate whether the constraints will be violated under fluctuating...
In the deregulated electricity market, wind power producers (WPPs) are required to submit their generation profile in the day-ahead (DA) market. The consideration of uncertainties associated with price and wind power become crucial to facilitate decision making and risk hedging for WPPs. In this paper, a bidding strategy based on robust optimization is proposed under two trading floors, namely DA...
With widely utilization of distributed generations (DGs) and demand response (DR), the active distribution network (ADN) becomes a more proactive and strategic consumer in electricity markets to procure its energy needs at the minimum cost. Under this background, this paper proposes a bi-level trading model for a strategic ADN to minimize its operation cost in the day-ahead market. The upper level...
With increasingly widespread utilization of photovoltaic (PV) systems, the stochastic characteristics of the PV generation may bring new challenges to security and reliability of the power system operation. This paper proposes a novel spinning reserve requirement optimization model considering the impacts of large-scale photovoltaic generation penetration. The effects of forecast error of PV generation...
This paper proposes a new probabilistic load flow method based on the first-order second-moment method. The proposed method aims to obtain the mean and standard deviation of load flow solution distributions considering various uncertainties in system operation. Power injection uncertainties including fluctuation of loads and unit outages are considered in the probabilistic load flow calculation. The...
This paper proposes a probabilistic load flow (PLF) method considering market factors in power system analysis. Market-based power system brings a great many uncertainties and challenges to system operation and planning and market factors cannot be ignored in probabilistic load flow calculation. The method proposed in this paper is based on combined Cumulants and Gram-Charlier expansion and incorporates...
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