Multi‐objective economic dispatch of power system with wind farm considering flexible load response

2021 ◽  
Author(s):  
Xiaohui Zhang ◽  
Ziyue Han ◽  
Cuimei Zhao ◽  
Jiaqing Zhong
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Economic Dispatch ◽  
Multi Objective ◽  
Load Response ◽  
Flexible Load

Reliability Assessment of Wind Power System Considering Multi-Objective Models

2012 ◽  
Vol 608-609 ◽  
pp. 742-747
Author(s):  
Chun Hong Zhao ◽  
Lian Guang Liu ◽  
Zi Fa Liu ◽  
Ying Chen
Keyword(s):  
Wind Speed ◽  
Power System ◽  
Wind Power ◽  
System Reliability ◽  
Wind Farm ◽  
Wind Farms ◽  
Test System ◽  
Power System Reliability ◽  
Multi Objective ◽  
Wind Power System

The integration of wind farms has a significant impact on the power system reliability. An appropriate model used to assess wind power system reliability is needed. Establishing multi-objective models (wind speed model, wind turbine generator output model and wind farm equivalent model) and based on the non-sequential Monte Carlo simulation method to calculate risk indicators is a viable method for quantitatively assessing the reliability of power system including wind farms. The IEEE-RTS 79 test system and a 300MW wind farm are taken as example.The calculation resluts show that using the multi-objective models can improve accuracy and reduce error; the higher average wind speed obtains the better system reliabitity accordingly.

The Application of Multi-Objective Particle Swarm Optimization in Economic Dispatch of Power System

2013 ◽  
Vol 760-762 ◽  
pp. 2119-2122
Author(s):  
Peng Zheng ◽  
Wen Tan Jiao
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Power Plants ◽  
Economic Dispatch ◽  
Particle Swarm ◽  
Inequality Constraints ◽  
Pollutant Emission ◽  
Particle Swarm Algorithm ◽  
Swarm Optimization ◽  
Multi Objective

Economic dispatch (ED) is a typical power system operation optimization problem. But it has non-smooth cost functions with equality and inequality constraints that make the problem of finding the global optimum difficult. According to the characteristics of economic dispatch problem, a improved algorithm based on particle swarm optimization for solving economic dispatch strategy is researched in this paper. Multi-objective economic\environmental dispatch demands that the pollutant emission of power plants should reach minimum while the condition of least generation cost should be satisfied. According to this demand, this multi-objective problem is solved by improved particle swarm optimization (PSO) algorithm. Using particle position and speed of change in the familiar update, the multi-objective particle swarm algorithm based on test function of this algorithm, and the simulation results of simulation optimization. The effectiveness of the proposed algorithm is verified by Simulation.

scholarly journals Resource aware wind farm and D-STATCOM optimal sizing and placement in a distribution power system

2021 ◽  
Vol 11 (6) ◽  
pp. 4641
Author(s):  
Anzum Ansari ◽  
Shankarlingappa C. Byalihal
Keyword(s):  
Power System ◽  
Distribution System ◽  
Wind Farm ◽  
Reactive Power ◽  
Wind Farms ◽  
Offshore Wind ◽  
Optimal Placement ◽  
Offshore Wind Farms ◽  
Optimal Sizing ◽  
Multi Objective

<span lang="EN-US">Doubly fed induction generators (DFIG) based wind farms are capable of providing reactive power compensation. Compensation capability enhancement using reactors such as distributed static synchronous compensator (D-STATCOM) while connecting distribution generation (DG) systems to grid is imperative. This paper presents an optimal placement and sizing of offshore wind farms in a coastal distribution system that is emulated on an IEEE 33 bus system. A multi-objective formulation for optimal placement and sizing of the offshore wind farms with both the location and size constraints is developed. Teaching learning algorithm is used to optimize the multi-objective function constraining on the capacity and location of the offshore wind farms. The proposed formulation is a multi-objective problem for placement of the wind generator in the power system with dynamic wind supply to the power system. The random wind speed is generated as the input and the wind farm output generated to perform the optimal sizing and placement in the distributed system. MATLAB based simulation developed is found to be efficient and robust.</span>

Sign in / Sign up

Export Citation Format

Share Document