A fuzzy-optimization approach to dynamic economic dispatch considering uncertainties

In this paper, the authors propose a fuzzy-optimization approach to dynamic economic dispatch, considering the uncertainties in deregulated energy and reserve markets. The methodology was developed from the viewpoint of a generation company wishing to maximize its own profit and to hedge its risks as a participant in the energy market and 10-min spinning reserve market. The uncertainties in the current paper were represented with fuzzy numbers, and consist of the demand and reserves required in each market, prices cleared in each market, and the probability that reserves are called upon in actual operation. The energy and reserve markets were coordinated by the generator ramp rate limits. The optimal amounts of power and reserve were determined by solving the optimization problem. Two reserve payment methods, payment for power delivered and payment for reserve allocated, were investigated in this paper.     

Research on capacity addition using market model with transmission congestion under competitive environment

In this research, the fundamental premises for deregulation of the electric power industry are reevaluated. The authors develop a simple model to represent the wholesale electricity market with a highly congested network. The model is developed by simplifying the power system and market in the New York ISO based on available data for the New York ISO in 2004 along with some estimation. Based on the developed model and construction cost data from the past, the economic impact of transmission line addition on market participants and the impact of deregulation on power plant additions in a market with transmission congestion are studied. Simulation results show that market signals may fail to facilitate proper capacity additions and results in the undesirable overconstruction and insufficient construction cycle of capacity addition. © 2011 Wiley Periodicals, Inc. Electr Eng Jpn, 178(3): 11–20, 2012; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/eej.21013