Showing 3 results for Locational Marginal Price
H. Abdi, M. Parsa Moghaddam, M. H. Javidi,
Volume 1, Issue 3 (7-2005)
Abstract
Restructuring of power system has faced this industry with numerous
uncertainties. As a result, transmission expansion planning (TEP) like many other problems
has become a very challenging problem in such systems. Due to these changes, various
approaches have been proposed for TEP in the new environment. In this paper a new
algorithm for TEP is presented. The method is based on probabilistic locational marginal
price (LMP) considering electrical loss, transmission tariffs, and transmission congestion
costs. It also considers the load curtailment cost in LMP calculations. Furthermore, to
emphasize on competence of competition ability of the system, the final plan(s) is (are)
selected based on minimization of average of total congestion cost for transmission system.
I. Ehsani, A. Akbari Foroud, A. R. Soofiabadi,
Volume 11, Issue 3 (9-2015)
Abstract
Locational Marginal Pricing (LMP) is a method for energy pricing in deregulated power systems. Loss and congestion cause different prices for energy at load or generation buses. In this pricing method there is a different between payments of customers and revenue of generators which is called Merchandizing Surplus (MS). Independent System Operator (ISO) receives MS and generally renders it to Transmission Company (Transco). It is rational that the MS be allocated among power market participants fairly instead of granting whole MS to Transco. In this paper a novel method is proposed to allocate MS among market participant according to their role in the congestion of system. In the presented method by decomposing LMP and identifying congestion part of LMP, the part of generators’ revenue and customers’ payments which caused by congestion are calculated. Then MS is allocated among market participants as the payment of customers to be equal to revenue of generators. The proposed method has been tested on five bus test system. Results indicate the effectiveness of the proposed method to allocate MS between power market participants.
S. M. Sadr, H. Rajabi Mashhadi, M. Ebrahim Hajiabadi,
Volume 12, Issue 2 (6-2016)
Abstract
This paper presents a novel approach for evaluating impacts of price-sensitive loads on electricity price and market power. To accomplish this aim an analytical method along with agent-based computational economics are used. At first, Nash equilibrium is achieved by computational approach of Q-learning then based on the optimal bidding strategies of GenCos, which are figured out by Q-learning, ISO's social welfare maximization is restated considering demand side bidding. In this research, it was demonstrated that Locational Marginal Price (LMP) at each node of system can be decomposed into five components. The first constitutive part is a constant value for the respective bus, while the next two components are related to GenCos and the last two parts are associated to Load Serving Entities (LSEs). Market regulators can acquire valuable information from the proposed LMP decomposition. First, sensitivity of electricity price at each bus and Lerner index of GenCos to the bidding strategies and maximum pricesensitive demand of LSEs are revealed through weighting coefficients of the last two terms in the decomposed LMP. Moreover, the decomposition of LMP expresses contribution of LSEs to the electricity price. The simulation results on two test systems confirm the capability of the proposed approach.