Stochastic Economic Emission load dispatch

Centre for Energy Studies, Indian Institute of Technology, New Delhi 110 016 India
Electric Power Systems Research (Impact Factor: 1.75). 04/1993; 26(3):179-186. DOI: 10.1016/0378-7796(93)90011-3


The economic emission load dispatch (EELD) problem is a multiple non-commensurable objective problem that minimizes both cost and emission together. In the paper a stochastic EELD problem is formulated with consideration of the uncertainties in the system production cost and nature of the load demand, which is random. In addition, risk is considered as another conflicting objective to be minimized because of the random load and uncertain system production cost. The weighted minimax technique is used to simulate the trade-off relation between the conflicting objectives in the non-inferior domain. Once the trade-off has been obtained, fuzzy set theory helps the power system operator to choose the optimal operating point over the trade-off curve and adjust the generation levels in the most economic manner associated with minimum emission and risk. The validity of the method is demonstrated by analysing a sample system comprising six generators.

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    • "However, the approach provided only weakly non-dominated solution and that too in considerably large time. The economic emission dispatch is solved by weighted min–max approach along with risk in expected power deviations as third objective [6]. The EED problem with line flow security constraint is solved by weighted sum method in [7] to convert the multiobjective EED problem in single objective optimization problem. "
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    • "In the concern of environmental awareness, pollution should be minimized which is achieved by combining cost and emission dispatch in a single objective function. Emission constrained economic dispatch is discussed in [9]. "
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