Power system environmental economy scheduling strategy based on improved gravitational search algorithm

Abstract

The present invention provides a kind of power system environmental economic dispatching strategy based on improved multi-objective gravitational search algorithm, and the method comprises the following steps: 1. Constructing while considering that the minimum operating cost of the system and the minimum discharge of pollutants are objective functions, and establishing electric power System environmental economic optimization scheduling model; II. Established a power system environmental economic scheduling model that comprehensively considered system operating costs and pollutant discharge costs, and proposed an improved multi-objective gravity search algorithm to solve the model; III. For basic In order to solve the problem of slow convergence speed of the gravity search algorithm, in the process of updating the individual position, inspired by the particle swarm optimization algorithm, the position update formula of the gravity search algorithm has been improved; IV. In order to guide the group to approach the Pareto optimal solution set area and ensure the algorithm The solution set is evenly distributed, and the elite retention strategy is adopted; V. The fuzzy set theory is used to generate the best compromise solution, and a scheduling plan is provided for decision makers.

Description

technical field [0001] The invention relates to the field of economic dispatching of power grid companies, in particular to an environmental economic dispatching strategy of a power system based on an improved gravitational search algorithm. Background technique [0002] The main energy raw materials in the current society are still dominated by non-renewable energy such as coal, oil, and natural gas. On the one hand, with the rapid development of social economy, energy consumption has increased sharply, and the global energy crisis has become more serious; A large amount of pollutants will be produced in the environment, which will not only cause environmental pollution, but also cause the greenhouse effect. Traditional power system economic dispatch is based on the single goal of minimizing the fuel cost of thermal power units. In recent years, the state has proposed that the economic development method must be resource-saving and has formulated various laws and regulation...

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Problems solved by technology

[0004] However, the above methods generally have the following problems: 1) It is easy to fall into a local optimum, which leads to a decrease in the optimization ability of the algorithm; 2) The distribution of the optimal frontier of the obtained Pareto solution set is not uniform; 3) The algorithm update process is complicated, and the calculation more difficult

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