Research on interval multi-objective optimal power flow in AC-DC systems considering wind power fluctuation

2021 ◽  
pp. 0309524X2199277
Author(s):  
Hongfen Zhang ◽  
Youchao Zhang
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Model ◽  
Power Fluctuation ◽  
Affine Arithmetic ◽  
Multi Objective ◽  
Optimal Power ◽  
Generation Cost

Aiming at the influence of the uncertainty of power system operating parameters such as wind power fluctuation on AC-DC hybrid system, an interval optimal power flow calculation method based on interval and affine arithmetic is proposed in this paper. First, AC and DC interval power flow model is constructed based on the relationship between interval and affine arithmetic, and the uncertainties such as the new energy generation output of the system are expressed as interval variables; static security performance index (PI) is introduced in AC-DC multi-objective optimal power flow objective functions, which take the system’s power generation cost and network loss into account; the Pareto optimal solution set is distributed uniformly in space by using the particle swarm algorithm to solve the interval optimal power flow model. Finally, MATLAB simulation examples are used to verify that the method can optimize the system’s power generation cost, network loss and static safety index while considering wind power fluctuation.

scholarly journals Multi-objective optimal power flow in the presence of intermittent renewable energy sources

2018 ◽  
Vol 7 (4) ◽  
pp. 2766 ◽  
Author(s):  
S. Surender Reddy
Keyword(s):  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Wind Farms ◽  
Multi Objective ◽  
Optimal Power ◽  
Generation Cost

This paper solves a multi-objective optimal power flow (MO-OPF) problem in a wind-thermal power system. Here, the power output from the wind energy generator (WEG) is considered as the schedulable, therefore the wind power penetration limits can be determined by the system operator. The stochastic behavior of wind power and wind speed is modeled using the Weibull probability density function. In this paper, three objective functions i.e., total generation cost, transmission losses and voltage stability enhancement index are selected. The total generation cost minimization function includes the cost of power produced by the thermal and WEGs, costs due to over-estimation and the under-estimation of available wind power. Here, the MO-OPF problems are solved using the multi-objective glowworm swarm optimiza-tion (MO-GSO) algorithm. The proposed optimization problem is solved on a modified IEEE 30 bus system with two wind farms located at two different buses in the system.  

Unbiased optimal power flow for power systems with wind power generation

2014 ◽  
Vol 50 (18) ◽  
pp. 1312-1314 ◽  
Author(s):  
S.J. Plathottam ◽  
P. Ranganathan ◽  
H. Salehfar
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Power Generation ◽  
Optimal Power

Research on the Optimal Dispatching Strategies of Power System with Large-Scale Wind Power

2013 ◽  
Vol 385-386 ◽  
pp. 1117-1121
Author(s):  
Lin Chuan Li ◽  
Kun Wang
Keyword(s):  
Power System ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Flow Model ◽  
Thermal Power ◽  
Maximum Output ◽  
Generation Cost ◽  
Equivalent Load

Large-scale wind power connected to the power system is a challenge to the traditional dispatch mode which is based on the accuracy of load forecasting and the accessibility of power, how to deal with the randomness and volatility of wind power has become a new problem facing the dispatch of power system. In this paper, an optimal power flow model with the goal of minimizing the total generation cost is established under the environment of generation market. Consider a variety of power supply in the system, the hydro and wind power should be preferentially used; Thermal power units bid for the capacity which is determined when wind power reach its maximum output at the minimum equivalent load time, and then whether the booting units can satisfy the load is checked at the maximum equivalent load time, if not, wind power will be curtailed to boot new thermal units until the load is met. Finally the example shows the feasibility of the dispatching strategies.

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