The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Conventional optimization technique suggests that marginal unit generation sensitivity (MUGS) may be calculated based on perturbation at optimality. The calculated MUGS however only applies to the perturbed operating point. Often times it is not advisable to apply this local information to predict generations at another loading level with considerable load change, and therefore another calculation...
In day-ahead power markets, the calculation of locational marginal price (LMP) relies on the load forecasting results. It is well known that short-term load forecasting results always contain certain degree of errors mainly due to the random nature of the load. At the same time, LMP step change exists at critical load level (CLL). Therefore, it is interesting to investigate the impact of load forecast...
This paper presents the following research works. First, numerical simulation is applied to verify the quadratic pattern of system status such as generator dispatches and line flows with respect to load changes. Second, an algorithm based on quadratic interpolation is proposed to reduce the intensive computation with brute-force simulation approach in calculating the coefficients of the quadratic...
This paper firstly presents a brief review of the FND (fictitious nodal demand)-based iterative DCOPF algorithm to calculate locational marginal price (LMP), which is proposed in a previous work. The FND-based DCOPF algorithm is particularly suitable for simulation and planning purposes. Then, this paper employs the FND algorithm to analyze the sensitivity of LMP with respect to loads. Tests are performed...
In this paper, a brief review is firstly presented for Locational Marginal Price (LMP) calculation using the lossless DCOPF algorithm and the FND (Fictitious Nodal Demand)- based iterative DCOPF algorithm with losses considered. Also reviewed is the ACOPF model to calculate LMP. Then, a comparison of these three models is presented with the results from ACOPF as a benchmark. Simulation is performed...
The ongoing de-regulation of the U.S. electric power industry is to build open-access, non-discriminative and competitive electricity markets. In 2002 the federal energy regulatory commission (FERC) proposed Standard Market Design (SMD), in which the key is the locational marginal pricing (LMP) methodology to determine the energy price and to manage the network congestion. LMP has been adopted by...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.