A novel cost reducing reactive power market structure for modifying mandatory generation regions of producers

Energy Policy ◽  
2017 ◽  
Vol 108 ◽  
pp. 702-711 ◽  
Author(s):  
A. Ahmadimanesh ◽  
M. Kalantar
2017 ◽  
Vol 28 (7) ◽  
pp. 744-762 ◽  
Author(s):  
A Ahmadimanesh ◽  
M Kalantar

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.


Author(s):  
Madhuvanthani Rajendran ◽  
L. Ashok Kumar

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.


Author(s):  
Sravanthi Pagidipala ◽  
Sandeep Vuddanti

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.


2020 ◽  
Vol 102 (3) ◽  
pp. 1667-1679
Author(s):  
Elahe Sahraie ◽  
Alireza Hassannejad Marzouni ◽  
Alireza Zakariazadeh ◽  
Mostafa Gholami

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