Time of use electricity pricing in power system planning and operation: Case study of Nepalese power system

The difference between load demand in the off-peak and peak period is usually high in the context of Nepal, and the high peak load for a short time is the main reason for insufficiency in electricity, frequent electricity outage, and poor power quality. This paper investigates the effectiveness of t...

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Main Authors: Sunil Simkhada, Mani Niraula, Prabesh Raj Ojha, Yogesh Layalu, Ajay Singh, Rakesh Gwachha, Ashish Shrestha
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484721012464
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author Sunil Simkhada
Mani Niraula
Prabesh Raj Ojha
Yogesh Layalu
Ajay Singh
Rakesh Gwachha
Ashish Shrestha
author_facet Sunil Simkhada
Mani Niraula
Prabesh Raj Ojha
Yogesh Layalu
Ajay Singh
Rakesh Gwachha
Ashish Shrestha
author_sort Sunil Simkhada
collection DOAJ
description The difference between load demand in the off-peak and peak period is usually high in the context of Nepal, and the high peak load for a short time is the main reason for insufficiency in electricity, frequent electricity outage, and poor power quality. This paper investigates the effectiveness of the time of use (TOU) strategy to reduce peak demand and to improve power quality. TOU electricity price is one of the electric demand response (DR) strategies, which may motivate the customers to reduce their consumption in peak periods and shift load in the off-peak period, which propel the electricity industry towards a higher efficiency compared to that of common flat prices. In this paper, a process based on an equal step length iteration algorithm is used to obtain an optimal period partition. Using the particle swarm optimization (PSO) algorithm, a TOU-based optimization model is proposed to find the optimal electricity price. Then, its impact on peak demand reduction and voltage fluctuation is analyzed. The impact of TOU price on peak demand reduction is investigated in the hourly load profile of Nepal, which indicates the significant reduction in peak demand. Similarly, the impact on voltage fluctuation is analyzed through a case study of the IEEE 33-bus radial distribution test system, which shows voltage profile is improved.
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spelling doaj.art-3e3bf7ce562944b5ad342387a430ef9c2022-12-22T02:03:49ZengElsevierEnergy Reports2352-48472022-04-018825831Time of use electricity pricing in power system planning and operation: Case study of Nepalese power systemSunil Simkhada0Mani Niraula1Prabesh Raj Ojha2Yogesh Layalu3Ajay Singh4Rakesh Gwachha5Ashish Shrestha6Department of Electrical Engineering, Khowpa College of Engineering, Tribhuvan University, Bhaktapur 44800, Nepal; Corresponding authors.Department of Electrical Engineering, Khowpa College of Engineering, Tribhuvan University, Bhaktapur 44800, NepalDepartment of Electrical Engineering, Khowpa College of Engineering, Tribhuvan University, Bhaktapur 44800, NepalDepartment of Electrical Engineering, Khowpa College of Engineering, Tribhuvan University, Bhaktapur 44800, NepalDepartment of Electrical Engineering, Khowpa College of Engineering, Tribhuvan University, Bhaktapur 44800, NepalDepartment of Electrical Engineering, Khowpa College of Engineering, Tribhuvan University, Bhaktapur 44800, NepalDepartment of Electrical Engineering, Information Technology and Cybernetics, University of South-Eastern Norway, Porsgrunn N-3918, Norway; Corresponding authors.The difference between load demand in the off-peak and peak period is usually high in the context of Nepal, and the high peak load for a short time is the main reason for insufficiency in electricity, frequent electricity outage, and poor power quality. This paper investigates the effectiveness of the time of use (TOU) strategy to reduce peak demand and to improve power quality. TOU electricity price is one of the electric demand response (DR) strategies, which may motivate the customers to reduce their consumption in peak periods and shift load in the off-peak period, which propel the electricity industry towards a higher efficiency compared to that of common flat prices. In this paper, a process based on an equal step length iteration algorithm is used to obtain an optimal period partition. Using the particle swarm optimization (PSO) algorithm, a TOU-based optimization model is proposed to find the optimal electricity price. Then, its impact on peak demand reduction and voltage fluctuation is analyzed. The impact of TOU price on peak demand reduction is investigated in the hourly load profile of Nepal, which indicates the significant reduction in peak demand. Similarly, the impact on voltage fluctuation is analyzed through a case study of the IEEE 33-bus radial distribution test system, which shows voltage profile is improved.http://www.sciencedirect.com/science/article/pii/S2352484721012464Equal step length iteration algorithmParticle swarm optimizationIEEE 33-bus radial distribution test systemPeak demandPower quality
spellingShingle Sunil Simkhada
Mani Niraula
Prabesh Raj Ojha
Yogesh Layalu
Ajay Singh
Rakesh Gwachha
Ashish Shrestha
Time of use electricity pricing in power system planning and operation: Case study of Nepalese power system
Energy Reports
Equal step length iteration algorithm
Particle swarm optimization
IEEE 33-bus radial distribution test system
Peak demand
Power quality
title Time of use electricity pricing in power system planning and operation: Case study of Nepalese power system
title_full Time of use electricity pricing in power system planning and operation: Case study of Nepalese power system
title_fullStr Time of use electricity pricing in power system planning and operation: Case study of Nepalese power system
title_full_unstemmed Time of use electricity pricing in power system planning and operation: Case study of Nepalese power system
title_short Time of use electricity pricing in power system planning and operation: Case study of Nepalese power system
title_sort time of use electricity pricing in power system planning and operation case study of nepalese power system
topic Equal step length iteration algorithm
Particle swarm optimization
IEEE 33-bus radial distribution test system
Peak demand
Power quality
url http://www.sciencedirect.com/science/article/pii/S2352484721012464
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