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Articles by Jarnail S. Dhillon
Total Records ( 2 ) for Jarnail S. Dhillon
  Jarnail S. Dhillon , J.S. Dhillon and D.P. Kothari
  A new heuristic search technique based on binary successive approximation method is applied to the problem of determining the optimal schedule of power generation in a hydro thermal power system The main objective for hydrothermal operation is not only to minimize the total system operating cost, represented by the fuel cost required for system’s thermal generation subject to the operating constraints of hydro and thermal plants, over the optimization interval but also to consider the environmental and system security objectives. Normally, the decision making input system data were assumed to be well behaved and deterministic. But in practical situations the input system data cannot be predicted and estimated with hundred percent certainties. It is bound to vary depending upon the uncertainties, load changes, load forecasting errors, ageing of equipment etc. It is worthwhile to assume the system data as variable and uncertain for more realistic approach. In this study an attempt has been made to solve fixed head short-term hydro-thermal generation scheduling problem in the multi objective framework by taking into account the statistical variation of various system parameters such as variance of cost and emission coefficients of generators, variance of power, generation mismatch etc.
  Jarnail S. Dhillon , J.S. Dhillon and D.P. Kothari
  This study presents the application of the decision making methodology based on fuzzy set theory to determine the optimal generation schedule of multi-objective problem with due consideration of uncertainties in system input data and system load. The stochastic models are converted into their deterministic equivalent by taking their expected values. To determine trade-off relationship between conflicting objectives in the non-inferior domain, the weighting method is exploited. A new heuristic search technique based on binary successive approximation method is devised to search weights assigned to the objectives and incremental cost to obtain the non-inferior solution. Binary coded strings are used to represent weights assigned to the objectives as well as the incremental cost and the continuous values are obtained to represent a point in the search space through mapping. Once the trade-off has been obtained, fuzzy set theory helps The Decision Maker (DM) to choose the optimal operating point over the trade-off curve and adjust the generation schedule in the most preferred economic manner. This method has shown improvement because the weights are searched for more significant digits in fixed number of iterations. The validity of the proposed method has been examined on a sample system and the results are compared with the similar existing methods.
 
 
 
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