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Keywords

glowworm swarm optimization, carbon emissions trading, environmental economic dispatch, wind power curtailment, rotating spare, wind power accommodation

Abstract

As the increasing awareness of environmental protection for people and the rising penetration ratio of wind power， power sectors have put forward higher requirements for the dispatch of power system integrated with wind power. In order to reduce the carbon emissions and promote wind power consumption while minimizing power generation costs, this paper firstly establishes an environmental economic dispatch model of power system integrated with wind power considering environmental and economic indicators. The objective function in the model considers the cost of thermal power generation, the cost of rotating spares, the trading mechanism of carbon emission rights, the cost of wind power and the cost of discarding wind. Aiming at the oscillation problem that is common to occur in the traditional firefly algorithm optimization process, a variable step glowworm swarm optimization is proposed to solve the model. Then, this paper carries out the simulation of the modified IEEE 39bus to verify the feasibility of the proposed model and the effectiveness of the algorithm. The results verify the feasibility of the proposed model and the effectiveness of the variable step glowworm swarm optimization to solve environmental economic dispatch problems.

DOI

10.19781/j.issn.16739140.2020.02.011

First Page

84

Last Page

92

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