Abstract
The intermittency of wind power and the large-scale integration of electric vehicles (EVs) bring new challenges to the reliability and economy of power system dispatching. In this paper, a novel multi-objective dynamic economic emission dispatch (DEED) model is proposed considering the EVs and uncertainties of wind power. The total fuel cost and pollutant emission are considered as the optimization objectives, and the vehicle to grid (V2G) power and the conventional generator output power are set as the decision variables. The stochastic wind power is derived by Weibull probability distribution function. Under the premise of meeting the system energy and user’s travel demand, the charging and discharging behavior of the EVs are dynamically managed. Moreover, we propose a two-step dynamic constraint processing strategy for decision variables based on penalty function, and, on this basis, the Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D) algorithm is improved. The proposed model and approach are verified by the 10-generator system. The results demonstrate that the proposed DEED model and the improved MOEA/D algorithm are effective and reasonable.
Highlights
Due to the serious deterioration of the global environment and the shortage of energy resources, protecting the environment and saving energy resources have become global concerns
The results demonstrate that proposed dynamic economic emission dispatch (DEED) model and Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D) algorithm are effective and reasonable
To solve the high dimension DEED problem with various constraints, this paper has improved the standard MOEA/D by employing a two-step constraint processing method based on dynamic adjustment of decision variables
Summary
Due to the serious deterioration of the global environment and the shortage of energy resources, protecting the environment and saving energy resources have become global concerns. Saber and Gholami et al [15,16] established a single objective dispatch model by including economic and environmental factors, and the model was solved by the PSO algorithm It only considered the registered EVs and the basic battery capacity rather than the user travel demand and the battery charging and discharging characteristics. Few works address the coordination dispatch of the wind power and EVs, especially, the DEED with wind power and EVs. In [26], Jiang et al proposed a single objective dynamic optimization model, considering the coordination between EVs and renewable energy sources. A novel dynamic economic emission dispatch (DEED) model is developed by considering the EVs and uncertainties of wind power.
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