Abstract
This paper presents the solution of highly complex, non-linear, multi-objective Dynamic Combined Economic Emission Dispatch (DCEED) problem. DCEED is a power system optimization problem with conflicting objectives of fuel cost and emission. DCEED includes constraints like valve point loading effect, Transmission Losses and Ramp Rate limits. Solution of DCEED problem is given by a novel Hybridized Flower Pollination Algorithm (FPA) with Sequential Quadratic Programming (SQP). FPA is a nature inspired population based meta-heuristic optimization technique that models its search on the flower pollination process. The non-convex nature of generation because of numerous operational, physical and dynamic constraints, makes search space highly multi model and complex. This makes DCEED a challenging as well as an attractive problem for research. The effectiveness of FPA-SQP is tested and validated by applying it on IEEE Standard 5-unit and 10-unit non-convex test system in MATLAB environment for the time interval of 24 hours. The results achieved by this algorithm show significant reduction in cost and emission as compared to other available techniques in the literature.
Highlights
For a developing country like Pakistan, Turkey, China etc
If this allocation of power is limited to a single fixed demand it is termed as static Economic Dispatch (ED) and if this power scheduling is done on a 24 hour time window it is termed as dynamic ED [3]
Another classical emission less energy resources [6] but their deterministic technique, Dynamic Programming development requires the luxury of time which we do showed better results when solving non-convex not have on our hands
Summary
For a developing country like Pakistan, Turkey, China etc. The importance of economics cannot be over emphasized. Dominantly dependent on selection of initial point and tended to get stuck in local optima’s as Reduction in emission can be achieved by shifting the systems became more complex, they were unable to load of the industry on a more environment friendly provide remarkable results Another classical emission less energy resources [6] but their deterministic technique, Dynamic Programming development requires the luxury of time which we do showed better results when solving non-convex not have on our hands. Pollutants from the exhaust of fossil fuel plants not researchers created more optimization techniques that allowing them to get dispersed in environment [7] These options less time intensive, requires had complex procedure either nature inspired, based investment that is not beneficial to energy producer on some specie or a physical law that propelled a but may even appear to them as a penalty. The total emission over a time period T can be modeled as shown in Equation (3)
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