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Ameliorated Salp Swarm Optimizer for Dynamic Thermal Power Dispatch Problem with Spinning Reserve and Ramp-Rate Restrictions

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Abstract

This paper solves the bi-objective dynamic thermal power dispatch (DTPD) problem using an ameliorated salp swarm optimizer (ASSO). The bi-objective DTPD problem finds the optimum generation schedule of all the committed generating units for a time horizon of 24 h with variable demand for each time interval. It aims to reduce the operating cost and emission of pollutants. The advancement of the economic generation scheduling problem provides an hour’s solution for the forecasted power demand. A forward approach is employed to find a global solution to the bi-objective DTPD problem. The price penalty is employed to unify the objectives defined as the average operating cost ratio to the emission of pollutants at thermal generations. Incremental and random methods compute price penalty. The generation schedule computed is usually restricted by the high and low economic generation limits and the ramp rate at which the unit responds over the nominal dispatch period, considering spinning reserves. A backtracking strategy handles ramp-rate restrictions imposed to ensure the feasibility of the solution. The heuristic search handles equality, and the replacement method handles inequality constraints. ASSO works on swarming actions of salp, colonial and solitary phases to produce salps employing opposition-based learning to improve diversity. Six opposition strategies are analyzed, and the best is selected using cardinal priority ranking. Four standard power test systems are examined to validate the solutions. The statistical analysis shows the outcome of the recommended algorithm that excels at the other challenging algorithms.

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Correspondence to Veenus Kansal.

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Kansal, V., Dhillon, J.S. Ameliorated Salp Swarm Optimizer for Dynamic Thermal Power Dispatch Problem with Spinning Reserve and Ramp-Rate Restrictions. J Control Autom Electr Syst 34, 344–362 (2023). https://doi.org/10.1007/s40313-022-00965-4

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