Abstract
The generation cost, carbon emissions and customers’ satisfaction are considered in this paper. On the basis of this, the multi-objective and low-carbon economic dispatch model with wind farm, this considers demand response, is established. The model user stochastic programming theory to describe the uncertainty of the wind power and converts it into an equivalent deterministic model by using distribution function of wind power output, optimizes demand side resources to adjust the next day load curve and to improve load rate and absorptive capacity of wind power, introduce customers’ satisfaction to ensure that the scheduling scheme satisfies customer and integrate the resources of source and load to unify coordination wind farm access to network and to meet the requirements of energy saving and emission reduction. The search process of artificial fish school algorithm introducing Tabu search and more targeted search mechanism, an multi-objective improved artificial fish school algorithm is proposed to solve this model. Using the technique for order preference by similarity to ideal solution (TOPSIS) to sort the Pareto frontier, the optimal scheduling scheme is determined. Simulation results verify the rationality and validity of the proposed model and algorithm.
Highlights
As the greenhouse effect intensifying and fossil energy depletion, energy conservation and emissions reduction as the main target for the development of electric power enterprises
The carbon emissions of electric power enterprises mainly come from the large thermal power plants, we should change the traditional dispatching model to insure the economy and low carbon development of power system [1]
Literature [3] consider the randomness of wind power, and the dynamic scheduling model is established based on the stochastic programming theory
Summary
As the greenhouse effect intensifying and fossil energy depletion, energy conservation and emissions reduction as the main target for the development of electric power enterprises. The carbon emissions of electric power enterprises mainly come from the large thermal power plants, we should change the traditional dispatching model to insure the economy and low carbon development of power system [1]. Large-scale wind power access to the power system will increase the difficulty of dispatching for the random output characteristics of wind power [2]. This problem is studied by related scholars. In literature [5], the demand response resources is used as an virtual power generation to participate dispatching, and a low carbon dispatching model is established to improve the given capacity of wind power. By testing improved 10 machine system to verify the rationality and validity of proposed model and algorithm
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
