A multi-agent control method for power system load based on matlab and netlogo

Abstract

The invention relates to an electric system load multi-agent control method based on Matlab and Netlogo. A brand-new design thought is adopted, a Matlab and Netlogo combined simulation platform is based, load-electrovalence responding character models are established, a load strategy set is established through the target tendency degree of a target corresponding to loads, a strategy of loads corresponding to the maximum total objective function value is acquired, real-time optimal control over load multi-agents in an electric system is achieved, the load control problem in an existing electric system can be effectively solved, and the electric system load multi-agent control method based on Matlab and Netlogo has the advantages that the calculation speed and the convergence performance are high; the variability of the agents can be controlled, disturbance of the outside can be responded, and positive reaction can be made; compared with a simulation system of the original electric system, the simulation process is visual and visible, and the state change situations of all intelligent element modules can be seen very clearly in Netlogo in the whole process.

Description

technical field [0001] The invention relates to a multi-agent control method for power system load based on Matlab and Netlogo. Background technique [0002] With the advancement of power technology, there are more and more types of energy, the quality of power supply is also improving, and the complexity of the power system is getting higher and higher, which brings many challenges to the operation and scheduling of the power system. During the operation of the system, due to random changes in the power load and various external disturbances (such as lightning strikes, etc.), the stability of the power system will be affected, resulting in fluctuations in system voltage and frequency, thereby affecting the quality of system power, and in severe cases, voltage collapse or Frequency crashes. Due to its large-scale and time-varying characteristics, power systems have been extensively studied at home and abroad. Power system simulation has become an important means of power s...

AI Technical Summary

Problems solved by technology

The algorithm is accurate in calculation and has strong convergence, but it is difficult to set parameters such as annealing speed and initial value of temperature when simulating with this algorithm, and the setting of the initial value affects the calculation time and convergence of the algorithm, etc.

The particle swarm optimization algorithm has the advantages of less undetermined parameters, fast convergence, short calculation time, and easy implementation. However, the particle swarm algorithm simulation multi-agent control is prone to local optimal solutions.

[0004] Because the user power in the power system will change with the market electricity price, its own economic tendency, its own comfort tendency and other related aspects. In addition, the power generation output of distributed power in the power grid is also changing all the time, which has a great impact on the power system. The control method of multiple agents presents new requirements and challenges

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