This paper discusses the problem of finding cost effective dispatch in competitive market structure. The proposed technique, Horizon Scan, has been applied to solve the problem. The proposed technique also employs some constraint equations for dealing with non-linear characteristics in the market. Horizon Scan has been implemented as an Object Oriented solver [1] that reads XML files. The object model is efficient for processing input data. The solver conforms with today's industrial practice in reading bid offers from market players in the current auction market setting. The data processing module has been programmed using JAVA. The performance of Horizon Scan has been benchmarked against several standard test cases [2], [3] and the results have been promising. The paper also presents several case studies depicting simplified model of the Australian energy market. The case studies comprise two and three region models with various linear and non linear constraints related to power generation, losses and transmission flow._ _
This paper describes an innovative approach of cooptimizing the energy and ancillary raise and lower services markets in the Australian National Electricity Market. A heuristic based technique called Horizon Scan [1], [2] is applied as the optimization procedure to find optimal solution for the problem. Horizon Scan is a heuristic based technique to search for optimal solution in a non-linear solution space. The paper is an extension to work that has been originally presented [3] and [7]. It includes a case study depicting simplified two region market model. Optimal schedules resulting in economical dispatch costs are obtained when Horizon Scan is applied to optimize trading between multi-regions with inter-connectors. Linear and non-linear constraint equations are also included in the model to take into account dynamics of the power system. _ _
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