scholarly journals A New DC Power Flow Model for Q Flow Analysis for use in Reactive Power Market

2017 ◽  
Vol 20 (2) ◽  
pp. 721-729 ◽  
Author(s):  
K. Sarmila Har Beagam ◽  
R. Jayashree ◽  
M. Abdullah Khan
Keyword(s):  
Power Flow ◽  
Flow Model ◽  
Reactive Power ◽  
Flow Analysis ◽  
Power Market ◽  
Dc Power ◽  
Reactive Power Market

scholarly journals Fast Heuristic AC Power Flow Analysis with Data-Driven Enhanced Linearized Model

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3308
Author(s):  
Xingpeng Li
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Flow Model ◽  
Reactive Power ◽  
Unit Commitment ◽  
Flow Analysis ◽  
Data Driven ◽  
Dc Power ◽  
Ac Power

Though the full AC power flow model can accurately represent the physical power system, the use of this model is limited in practice due to the computational complexity associated with its non-linear and non-convexity characteristics. For instance, the AC power flow model is not incorporated in the unit commitment model for practical power systems. Instead, an alternative linearized DC power flow model is widely used in today’s power system operational and planning tools. However, DC power flow model will be useless when reactive power and voltage magnitude are of concern. Therefore, a linearized AC (LAC) power flow model is needed to address this issue. This paper first introduces a traditional LAC model and then proposes an enhanced data-driven linearized AC (DLAC) model using the regression analysis technique. Numerical simulations conducted on the Tennessee Valley Authority (TVA) system demonstrate the performance and effectiveness of the proposed DLAC model.

Modification of the mandatory generation region of producers in the reactive power market by considering reactive power losses

2017 ◽  
Vol 28 (7) ◽  
pp. 744-762 ◽  
Author(s):  
A Ahmadimanesh ◽  
M Kalantar
Keyword(s):  
Market Structure ◽  
Power Flow ◽  
Reactive Power ◽  
Power Market ◽  
Test System ◽  
Power Losses ◽  
Synchronous Generators ◽  
Fair Competition ◽  
Generation Region ◽  
Reactive Power Market

In this paper, a new reactive power market structure is studied and presented. Active power flow by itself causes active and reactive losses. Considering such losses in the reactive power market without paying any costs is the main purpose of this paper. So, this study tries to improve reactive power market and create fair competition in reactive power generation through improving the market structure. For this aim, firstly a new allocation method for reactive power losses is presented, and contribution of each producer in reactive losses is calculated. In the next step, this share of losses is used for modification of the mandatory generation region of units and the new structure of reactive power market is proposed. Also, in this work, the cost payment function of synchronous generators is modified. In order to simulate and describe the proposed methods in the implementation of the reactive power market, IEEE 24 bus reliability test system is applied and the proposed methods are compared with each other and the conventional reactive power market structure. As will be shown, the total payment by ISO will be reduced by using the proposed methods.

Solving realistic reactive power market clearing problem of wind-thermal power system with system security

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Sravanthi Pagidipala ◽  
Sandeep Vuddanti
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Power Market ◽  
Operating Conditions ◽  
Objective Functions ◽  
Market Clearing ◽  
Load Model ◽  
Multi Objective ◽  
Reactive Power Market ◽  
Single Objective

Abstract This paper proposes a security-constrained single and multi-objective optimization (MOO) based realistic security constrained-reactive power market clearing (SC-RPMC) mechanism in a hybrid power system by integrating the wind energy generators (WEGs) along with traditional thermal generating stations. Pre-contingency and post-contingency reactive power price clearing plans are developed. Different objective functions considered are the reactive power cost (RPC) minimization, voltage stability enhancement index (VSEI) minimization, system loss minimization (SLM), and the amount of load served maximization (LSM). These objectives of the SC-RPMC problem are solved in a single objective as well as multi-objective manner. The choice of objective functions for the MOO model depends on the load model and the operating condition of the system. For example, the SLM is an important objective function for the constant power load model, whereas the LSM is for the voltage-dependent/variable load model. The VSEI objective should be used only in near-critical loading conditions. The SLM/LSM objective is for all other operating conditions. The reason for using multiple objectives instead of a single objective and the rationale for the choice of the appropriate objectives for a given situation is explained. In this work, the teaching learning-based optimization (TLBO) algorithm is used for solving the proposed single objective-based SC-RPMC problem, and a non-dominated sorting-based TLBO technique is used for solving the multi-objective-based SC-RPMC problem. The fuzzy decision-making approach is applied for extracting the best-compromised solution. The validity and efficiency of the proposed market-clearing approach have been tested on IEEE 30 bus network.

Reactive power market clearing mechanism considering new clearing constraints: a separate clearing approach

2020 ◽  
Vol 102 (3) ◽  
pp. 1667-1679
Author(s):  
Elahe Sahraie ◽  
Alireza Hassannejad Marzouni ◽  
Alireza Zakariazadeh ◽  
Mostafa Gholami
Keyword(s):  
Reactive Power ◽  
Power Market ◽  
Market Clearing ◽  
Reactive Power Market ◽  
Clearing Mechanism
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