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

A technology of environmental economic dispatch and power system, applied in the direction of circuit devices, electrical components, AC network circuits, etc., can solve the problems of disconnection between theory and practice, premature convergence, weight and method can no longer be applied, etc., to enhance learning ability, minimize The effect of minimizing emissions and minimizing power generation costs

Active Publication Date: 2018-01-12
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

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

Examples

Experimental program
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Example Embodiment

[0074] Embodiment one

[0075] The present invention provides a power system environmental economic scheduling method based on the multi-objective hybrid bat algorithm, and its implementation process is as follows figure 1 shown, including the following steps:

[0076] Step 1: Determine the optimization objectives and constraints, and build a multi-objective optimization model for power system environmental economic dispatch;

[0077] Specifically, with the goal of minimizing polluting gas emissions and fossil fuel costs at the same time, generator active power, reactive power upper and lower limits, power balance constraints, node voltage amplitude constraints, and line power flow constraints are selected as constraints to construct an environment-economic dispatch optimization Model:

[0078] ①Optimization objective 1: minimum fuel cost

[0079]

[0080] ②Optimization goal 2: The emission of polluting gases is the least

[0081]

[0082] ③ Constraints

[0083] Gen...

Example Embodiment

[0147] Embodiment two

[0148] The purpose of this embodiment is to provide a computing device.

[0149] A power system environmental economic scheduling device based on a multi-objective hybrid bat algorithm, including a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor implements the following steps when executing the program, include:

[0150] Step 1: Determine the optimization objectives and constraints, and build a multi-objective optimization model for power system environmental economic dispatch;

[0151] Step 2: In the case of meeting the load requirements of the current period, use the multi-objective hybrid bat algorithm (MHBA) to solve the multi-objective optimization model, obtain a set of non-dominated solutions, and obtain the Pareto of the two optimization objectives of environmental economic dispatch optimal frontier;

[0152] Step 3: For the non-dominated solution, use the membership function t...

Example Embodiment

[0153] Embodiment three

[0154] The purpose of this embodiment is to provide a computer-readable storage medium.

[0155] A computer-readable storage medium, on which a computer program is stored for the environmental economic dispatch of the power system, and the following steps are performed when the program is executed by a processor:

[0156] Step 1: Determine the optimization objectives and constraints, and build a multi-objective optimization model for power system environmental economic dispatch;

[0157] Step 2: In the case of meeting the load requirements of the current period, use the multi-objective hybrid bat algorithm (MHBA) to solve the multi-objective optimization model, obtain a set of non-dominated solutions, and obtain the Pareto of the two optimization objectives of environmental economic dispatch optimal frontier;

[0158] Step 3: For the non-dominated solution, use the membership function to obtain the global optimal solution as the decision-making basi...

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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...

Claims

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Application Information

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IPC IPC(8): H02J3/00
CPCY02P80/10
Inventor 刘允刚梁会军李峰忠
Owner SHANDONG UNIV
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