Research On Spot Price And Algorithm Based Opf In Power Market

With the continuous development of the electricity market, real-time pricing in electricity markets has gradually become an important research topic. This paper mainly contains real-time pricing information-rich economy, the reaction system running fast and on-line real-time pricing algorithm for computing a preliminary analysis and discussion.Describes the node electricity market price of foreign research and application of the theory,according to the process of building regional power market in China,focused analysis of the advantages of using the nodal price system.OPF also introduced the node in the general electricity market price calculation, and price algorithm for establishing the corresponding mathematical model, the node price is derived mathematical formula.This article first domestic electricity market and electricity market was introduced under the tariff; next to the power system optimal power flow mathematical model and algorithms related to the exposition; and this paper, the optimal power flow (OPF) the power optimization tool for real-time electricity price and calculated based on the original dual interior point algorithm for real-time pricing model, and discusses the parameter value to the heart of the convergence effect; On this basis, the prediction was correct link,the method can coordinate optimality and feasibility of the relationship between the improved convergence of the algorithm;Finally,using IEEE14 and IEEE30 bus system and the standard test system node price calculation in real time system,using the original Lagrangian dual interior point method multiplier-rich nodes in real-time economic information on the price were discussed, and the algorithm performance are analyzed and discussed, some important conclusions drawn. Analysis of the results of the simulation shows the marginal cost of active power reactive power than the marginal cost is much greater; in the system where the minimum cost of fuel, the system is not necessarily the most secure;the corresponding Lagrangian multiplier of inequality constraint value represents the system runs costs, predictor-corrector iterative method fewer good convergence and so on.