Fuzzy constraint enforcement and control action curtailment in an optimal power flow

1996 ◽  
Vol 11 (2) ◽  
pp. 639-645 ◽  
Author(s):  
W.-H.E. Liu ◽  
X. Guan
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Control Action ◽  
Optimal Power ◽  
Fuzzy Constraint ◽  
Constraint Enforcement ◽  
And Control

An Optimizer-Tool-Based Improved Metaheuristic Method for Solving Security Optimal Power Flow

2018 ◽  
pp. 191-226
Author(s):  
Belkacem Mahdad
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Power System Planning ◽  
System Planning ◽  
Planning And Control ◽  
Optimal Power ◽  
Interactive Tool ◽  
Metaheuristic Methods ◽  
And Control

In this chapter, an interactive tool using graphic user interface (GUI) environment-based MATLAB is proposed to solve practical optimal power system planning and control. The main particularity of the proposed tool is to assist student and researchers understanding the mechanism search of new metaheuristic methods. The proposed tool allows users to interact dynamically with the program. The users (students or experts) can set parameters related to a specified metaheuristic method to clearly observe the effect of choosing parameters on the solution quality. In this chapter, a new global optimization method named grey wolf optimizer (GWO) and pattern search algorithm (PS) have been successfully applied within the interactive tool to solve the optimal power flow problem. The robustness of the two proposed metaheuristic methods is validated on many standard power system tests. The proposed interactive optimal power flow tool is expected to be a useful support for students and experts specialized in power system planning and control.

A Solution to Multi Objective Optimal Power Flow Using Hybrid Cultural-Based Differential Evolution

2013 ◽  
Vol 457-458 ◽  
pp. 1236-1240
Author(s):  
Isaree Srikun ◽  
Lakkana Ruekkasaem ◽  
Pasura Aungkulanon
Keyword(s):  
Differential Evolution ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Test System ◽  
System Operation ◽  
Power System Operation ◽  
Multi Objective ◽  
Optimal Power ◽  
Generation Cost ◽  
And Control

This paper presents a hybrid Cultural-based Differential Evolution for solving a multi-objective Optimal Power Flow (OPF) in support of power system operation and control . The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Cultural-based Differential Evolution is more effective than other swarm intelligence methods in the literature.

scholarly journals Optimal Power Flow Techniques under Characterization of Conventional and Renewable Energy Sources: A Comprehensive Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Baseem Khan ◽  
Pawan Singh
Keyword(s):  
Renewable Energy ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Reactive Power Optimization ◽  
Optimal Power ◽  
And Control

The exhaustive knowledge of optimal power flow (OPF) methods is critical for proper system operation and planning, since OPF methods are utilized for finding the optimal state of any system under system constraint conditions, such as loss minimization, reactive power limits, thermal limits of transmission lines, and reactive power optimization. Incorporating renewable energy sources optimized the power flow of system under different constraints. This work presents a comprehensive study of optimal power flows methods with conventional and renewable energy constraints. Additionally, this work presents a progress of optimal power flow solution from its beginning to its present form. Authors classify the optimal power flow methods under different constraints condition of conventional and renewable energy sources. The current and future applications of optimal power flow programs in smart system planning, operations, sensitivity calculation, and control are presented. This study will help the engineers and researchers to optimize power flow with conventional and renewable energy sources.

scholarly journals Optimal power flow: an introduction to predictive, distributed and stochastic control challenges

2018 ◽  
Vol 66 (7) ◽  
pp. 573-589 ◽  
Author(s):  
Timm Faulwasser ◽  
Alexander Engelmann ◽  
Tillmann Mühlpfordt ◽  
Veit Hagenmeyer
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problems ◽  
Optimal Power ◽  
Open Questions ◽  
Multi Stage ◽  
Systems And Control ◽  
Control Community ◽  
And Control

Abstract The Energiewende is a paradigm change that can be witnessed at latest since the political decision to step out of nuclear energy. Moreover, despite common roots in Electrical Engineering, the control community and the power systems community face a lack of common vocabulary. In this context, this paper aims at providing a systems-and-control specific introduction to optimal power flow problems which are pivotal in the operation of energy systems. Based on a concise problem statement, we introduce a common description of optimal power flow variants including multi-stage problems and predictive control, stochastic uncertainties, and issues of distributed optimization. Moreover, we sketch open questions that might be of interest for the systems and control community.

Multi-Objective Optimal Power Flow Solutions Using Differential Search Algorithm

2014 ◽  
Vol 1077 ◽  
pp. 241-245
Author(s):  
Isaree Srikun
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Search Algorithm ◽  
Test System ◽  
System Operation ◽  
Power System Operation ◽  
Multi Objective ◽  
Optimal Power ◽  
Generation Cost ◽  
And Control

This paper presents a Differential Search Algorithm for solving a multi-objective Optimal Power Flow (OPF) in support of power system operation and control . The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Differential Search Algorithm is more effective than other swarm intelligence methods in the literature.

scholarly journals Decomposed Iterative Optimal Power Flow with Automatic Regionalization

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4987
Author(s):  
Xinhu Zheng ◽  
Dongliang Duan ◽  
Liuqing Yang ◽  
Haonan Wang
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Optimization Techniques ◽  
Test Cases ◽  
Global Optimality ◽  
Large Scale Systems ◽  
Optimal Power ◽  
And Control

The optimal power flow (OPF) problem plays an important role in power system operation and control. The problem is nonconvex and NP-hard, hence global optimality is not guaranteed and the complexity grows exponentially with the size of the system. Therefore, centralized optimization techniques are not suitable for large-scale systems and an efficient decomposed implementation of OPF is highly demanded. In this paper, we propose a novel and efficient method to decompose the entire system into multiple sub-systems based on automatic regionalization and acquire the OPF solution across sub-systems via a modified MATPOWER solver. The proposed method is implemented in a modified solver and tested on several IEEE Power System Test Cases. The performance is shown to be more appealing compared with the original solver.

Optimal Power Flow Using Newton’s Method

2012 ◽  
Vol 3 (2) ◽  
pp. 167-169
Author(s):  
F.M.PATEL F.M.PATEL ◽  
◽  
N. B. PANCHAL N. B. PANCHAL
Keyword(s):  
Newton’S Method ◽  
Newton's Method ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power
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