Day-Ahead Zonal Reactive Power Market Clearing Model for Competitive Markets: A Multi-objective Approach

2012 ◽  
Author(s):  
Amit Saraswat ◽  
Ashish Saini ◽  
Ajay Kumar Saxena
Keyword(s):  
Reactive Power ◽  
Power Market ◽  
Competitive Markets ◽  
Market Clearing ◽  
Multi Objective ◽  
Reactive Power Market

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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