Abstract
In order to solve the problem of reactive power optimization of distribution network with distributed power supply, the multi-objective reactive power optimization function is established from multiple perspectives, and the equation constraint and inequality constraint equation of power system are considered. Secondly, taking IEEE33 node distribution system with distributed power supply as an example, reactive power optimization of single objective function is carried out to verify that the proposed algorithm has a global convergence and a great advantage in convergence speed. Finally, multi-objective reactive power optimization of distribution network with distributed power supply is carried out. Simulation results demonstrate the effectiveness of the proposed algorithm.
Highlights
The traditional reactive power optimization of distribution network is mainly from the economic point of view[1,2,3,4,5]
It can be seen that under the multiple requirements of power network operation quality and economic benefits, the future direction of reactive power optimization is to comprehensively consider the economy, safety and power supply reliability of power system operation[6,7,8,9], so it is necessary to establish a multi-objective reactive power optimization model to meet the needs of multiple parties
In the formula, quantities are defined as: QDGjmin is DG injects the lower limit of reactive capacity into the distribution network; QDGjmax is DG injects the upper limit of reactive capacity into the distribution network; Timin is lower limit of tap position of load regulating transformer tap; Timax is upper limit of tap position of load regulating transformer tap; QCimi is tap position of load regulating transformer tap; QCimax is the lower and upper limits of the reactive capacity of a reactive compensation device; Inequality constraints of state variables: Uimin ≤ Ui ≤ Uimax i ∈ Nl
Summary
The traditional reactive power optimization of distribution network is mainly from the economic point of view[1,2,3,4,5]. The power sector or DG investors are more eager to get the maximum benefits, and they pay more attention to the investment cost of DG. As users, they hope to obtain safe and stable electricity, so they mainly focus on the quality of power. This article from the perspective of economy, power supply safety and operation cost, establish the minimum system active network loss and voltage deviation of minimum investment cost and minimum multi-objective reactive power optimization function model, flow equation for power systems at the same time consider equality constraints and inequality constraints, the use of the proposed improved MOMTLBO(Improved Multi-Objective teaching-learning-based Optimization algorithm, MOMTLBO)[10]IEEE33 node containing DG system for simulation analysis. In the formula, quantities are defined as: fQ is DG optimization cost; Pn is investment cost per unit capacity of node n; Ccapn is the actual compensation capacity of node n
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