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.

Sensitivity Based Approach for Transmission Congestion Management Utilizing Bids for Generation Rescheduling and Load Curtailment

2006 ◽  
Vol 7 (4) ◽  
Author(s):  
Himanshu Kumar Singh ◽  
S.C. Srivastava ◽  
Ashwani Kumar Sharma
Keyword(s):  
Electricity Markets ◽  
Power Flow ◽  
Reactive Power ◽  
Congestion Management ◽  
Test System ◽  
Hyperbolic Function ◽  
Flow Sensitivity ◽  
Fair Competition ◽  
Load Curtailment ◽  
The Impact

One of the most important tasks of System Operator (SO) is to manage congestion as it threatens system security and may cause rise in electricity price resulting in market inefficiency. In corrective action congestion management schemes, it is crucial for SO to select the most sensitive generators to re-schedule their real and reactive powers and the loads to curtail in extreme congestion management. This paper proposed the selection of most sensitive generators and loads to re-schedule their generation and load curtailment based on the improved line flow sensitivity indices to manage congestion. The impact of slack bus on power flow sensitivity factors has been determined to encourage fair competition in the electricity markets. Effect of bilateral and multilateral transactions, and impact of multi-line congestion on congestion cost has also been studied. The generators’ reactive power bid has been modeled by a continuous differentiable tangent hyperbolic function. The proposed concept of congestion management has been tested on a practical 75-bus Indian system and IEEE-118-bus test system.

Investigation of the Impacts of Synchronous Generators’ Forced Outage Rates on Reactive Power Market

2021 ◽  
Author(s):  
Hossein Azad ◽  
Mojtaba Mohseni ◽  
Ehsan Heydarian-Forushani ◽  
Seifeddine Ben Elghali ◽  
Massimo La Scala
Keyword(s):  
Reactive Power ◽  
Power Market ◽  
Synchronous Generators ◽  
Reactive Power Market

scholarly journals Implementation of Reactive Power Markets to Enhance the Power System Network.

2019 ◽  
Vol 3 (2) ◽  
pp. 126-131
Author(s):  
Madhuvanthani Rajendran ◽  
L. Ashok Kumar
Keyword(s):  
Power System ◽  
Market Structure ◽  
Reactive Power ◽  
Critical Role ◽  
Power Market ◽  
Spot Market ◽  
Power Markets ◽  
Independent System ◽  
Current Compensation ◽  
Reactive Power Market

Reactive power is an important component which plays a critical role in maintaining grid reliability, especially voltage stability. The report presents an analysis of the current compensation strategies followed by different independent system operators (ISOs) in US and identifies the drawbacks in the present compensation schemes. The properties of reactive power which poses an impediment to setup a reactive power market has been compared with the need of a reactive power market.  Finally, a possible spot market structure has been considered along with bid formulation and its different components as applicable to different reactive power producing equipment.

Flexible Genetic Algorithm Based Optimal Power Flow of Power Systems

2018 ◽  
Vol 24 (3) ◽  
pp. 84
Author(s):  
Hassan Abdullah Kubba ◽  
Mounir Thamer Esmieel
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Test System ◽  
Multi Objective ◽  
Optimal Power ◽  
Blending Method ◽  
Real Coded Genetic Algorithm

Nowadays, the power plant is changing the power industry from a centralized and vertically integrated form into regional, competitive and functionally separate units. This is done with the future aims of increasing efficiency by better management and better employment of existing equipment and lower price of electricity to all types of customers while retaining a reliable system. This research is aimed to solve the optimal power flow (OPF) problem. The OPF is used to minimize the total generations fuel cost function. Optimal power flow may be single objective or multi objective function. In this thesis, an attempt is made to minimize the objective function with keeping the voltages magnitudes of all load buses, real output power of each generator bus and reactive power of each generator bus within their limits. The proposed method in this thesis is the Flexible Continuous Genetic Algorithm or in other words the Flexible Real-Coded Genetic Algorithm (RCGA) using the efficient GA's operators such as Rank Assignment (Weighted) Roulette Wheel Selection, Blending Method Recombination operator and Mutation Operator as well as Multi-Objective Minimization technique (MOM). This method has been tested and checked on the IEEE 30 buses test system and implemented on the 35-bus Super Iraqi National Grid (SING) system (400 KV). The results of OPF problem using IEEE 30 buses typical system has been compared with other researches.     

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.

Sign in / Sign up

Export Citation Format

Share Document