Abstract
The severity of the ongoing environmental crisis has prompted the development of renewable energy generation and smart grids integration. The access of enewable energy makes the economic dispatching of smart grid complicated. Therefore, the economic dispatching model for smart grid is very necessary. This paper presents an economic dispatching model of smart power grid, which considers both economy and pollution emission. The smart grid model used for the simulation is construced of wind energy, solar energy, fuel cell, and thermal power, and the use of fuel cell enables the smart grid to achieve multi-energy complementar. To overcome the defect of the traditional centralized communication methods, which are prone to communication jams, this paper adopts a multi-agent inform ation exchange method to improve the stability and efficiency. In terms of the solution method for this model, this paper proposes Improved Strength Pareto Evolutionary Algorithm 2(ISPEA2) and Improved Non-dominated Sorting Genetic Algorithm 2(INSGA2) that solves the economic dispatch problem of a smart grid. The strength Pareto evolutionary algorithm 2(SPEA2),non-dominated sorting genetic algorithm 2(NSGA2) and the improved algorithms are simultaneously applied to the proposed smart grid model for economic dispatching simulation. The simulation results show that ISPEA2 and INSGA2 are effective. ISPEA2 and INSGA2 have shown improvements over SPEA2 and NSGA2 in accuracy or running times.
Highlights
While traditonal fossil fuels has brought tremendous postive impact to the world, its large negative impacts to the environment is hard to ignore and many would argue that it’s one of the most important problems faced by humanity
The economic dispatching model of smart grid constructed in this paper can well reflect the characteristics of multi-energy complementarity of smart grid, and meet the plug and play mode of new energy
In terms of the solution method, this paper has demonstrated improvements of ISPEA2 and INSGA2 over SPEA2 and NSGA2 via this model
Summary
While traditonal fossil fuels has brought tremendous postive impact to the world, its large negative impacts to the environment is hard to ignore and many would argue that it’s one of the most important problems faced by humanity . To address the communication congestion issues, this paper proposes a dis tributed communication scheme that greatly improves the communication efficienc and robustness of the communication network It can better meet the plug-andplay of smart grids. The solution method for the economic dispatch model of smart grid proposed in this paper shall use multi-objective optimization algorithms. The main contributions of this paper are as follows: Firstly, wind power, thermal power, solar power, and fuel cells are used to construct a multi-energy complementary smart grid economic dispatching model. Both economy and pollution emission are considered in this model. A distributed communication method is proposed in this article to obtain information through the neighbor nodes, which is suitable for the plug-and-play mode of smart grids
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