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Indicator & crowding Distance-Based Evolutionary Algorithm for Combined Heat and Power Economic Emission Dispatch
Heat and power have become the most indispensable resources. However, the
traditional ways of generating power and heat are inefficient and cause high
pollution; a CHP (Combined Heat and Power) unit can solve these problems well.
In recent years, more attention has been paid to energy conservation and
environmental protection, and Combined Heat and Power Economic Emission
Dispatch (CHPEED) has become an important multi-objective optimization problem.
In this paper, an Indicator & crowding Distance-based Evolutionary Algorithm
(IDBEA) is put forward for handling this non-convex and non-linear problem.
With consideration of the valve-point effects and power transmission loss,
IDBEA is tested on three standard test systems with different types, including
four units, five units and seven units. In the experiment, IDBEA is compared
with several evolutionary algorithms, the simulation results demonstrate that
IDBEA has strong stability and superiority, while the solutions show better
convergence and diversity than several typical algorithms.Comment: Share Link-50 days' free access to the article:
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