Method and device of environment and economic dispatching based on MHBA for power system

Abstract

The invention discloses a method and device of environment and economic dispatching based on a multi-objective hybrid bat algorithm for a power system. The method includes the steps of determining anoptimization target and constraint conditions, and constructing a multi-objective optimization model of the environment and economic dispatching for the power system; solving the multi-objective optimization model using the multi-objective hybrid bat algorithm under the condition that load requirement of current period is met, obtaining a group of non-dominant solutions, and forming a Pareto optimal frontier for the two optimization targets of the environment and economic dispatching; obtaining a global optimal solution as the basis for an optimal dispatching of the power system during the current period using a membership function for the non-dominant solutions. Under the precondition of satisfying electricity load, the method minimizes generation cost of a generating set and minimizes emissions of polluted gas, minimizes use of fossil fuels to a large extent, and provides intelligent decisions for energy saving and synergy of power enterprises.

Description

technical field [0001] The present invention relates to a power system environmental economic dispatch method, in particular to a power system environmental economic dispatch method and device based on a multi-objective hybrid bat algorithm (Multi-objective Hybrid Bat Algorithm, MHBA). Background technique [0002] Economic operation and scheduling problems have a profound impact on the development of electric power companies. The current environmental pollution is becoming more and more serious. How to take into account both environmental and economic benefits on the premise of ensuring that the quality of power supply is not affected is a major technical problem that is worth studying, and it is also a major technical problem that promotes power generation. The key content of energy saving and emission reduction for enterprises. Usually, after the load forecaster predicts the electricity demand in a certain period of time, the scheduling will play a decisive role in the po...

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Problems solved by technology

Most of the existing methods only consider the active power constraints of generators and load balance. At the same time, approximate calculation methods are used for line network loss, which affects the actual load balance. At the same time, they do not consider the operation of the actual power grid. Without calculation, this will lead to a disconnect between theory and practice; in the application of algorithms, the Weighted Sum Method (Weighted Sum Method) is the most widely used method, but this method has two serious shortcomings, one is only Operates on the convex Pareto optimal frontier. However, the optimal environmental economic dispatch model of the power system is a nonlinear, non-convex mathematical model. Obviously, the weights and methods are no longer applicable. The second is that the program runs only once An optimal solution can be obtained. If there are 100 non-dominated solutions in the Pareto front, the program needs to be executed 100 times

In recent years, research has mainly used intelligent algorithms for optimization calculations, typically Nondominated Sorting Genetic Algorithm (Nondominated Sorting Genetic Algorithm) and Particle Swarm Optimization (Particle Swarm Optimization). , for the particle swarm optimization algorithm, when the particles fall into local optimum, they will all suffer from premature convergence problem

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