Fixed head hydrothermal scheduling considering uncertainty of load demand and renewable energy sources-Reference-Cited by-同舟云学术

Fixed head hydrothermal scheduling considering uncertainty of load demand and renewable energy sources

Published:2023-06-24 Issue: Volume: Page:
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation Trans & Dist

Author:

Basu Mousumi¹,Das Saborni²,Jena Chitralekha³,Ogale Jyotsna⁴,Ali Ahmed⁵,Khan Baseem⁵⁶^ORCID

Affiliation:

1. Department of Power Engineering Jadavpur University Kolkata India

2. Department of Electrical Engineering Mahatma Gandhi Mission's College of Engineering and Technology Navi Mumbai Maharashtra India

3. School of Electrical Engineering KIIT University Bhubaneswar Odisha India

4. Department of Electronics Engineering Samrat Ashok Technological Institute Vidisha India

5. Depa rtment of Electrical and Electronic Engineering Technology, Faculty of Engineering and the Built Environment University of Johannesburg South Africa

6. Department of Electrical and Computer Engineering Hawassa University Hawassa Ethiopia

Abstract

AbstractThis manuscript suggests quasi‐oppositional fast convergence evolutionary programming (QOFCEP) technique to determine short‐term generation scheduling of fixed head hydrothermal system comprising pumped storage hydro plants (PSHPs), solar PV plants (SPVPs) and wind turbine generators (WTGs) with demand response program (DRP). PSHPs are used with fixed head hydro power plants (FHPPs), thermal generating units (TGUs), SPVPs and WTGs to operate system conveniently. Uncertainties related to renewable generations and load demands have been considered. Self‐adaptive tent mapped scenarios of uncertain parameters are generated within higher level of confidence space to deal with the system uncertainties. DRP is applied to level the load demand curve and to enhance system flexibility and reduce operational cost. Numerical results of typical test system are matched with those attained by fast convergence evolutionary programming (FCEP) and evolutionary programming (EP).

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference44 articles.

1. Scheduling of Pumped Storage Hydrothermal System with Evolutionary Programming

2. Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

3. Solution to Security-constrained Non-convex Pumped-Storage Hydraulic Unit Scheduling Problem by Modified Subgradient Algorithm Based on Feasible Values and Pseudo Water Price

4. Contribution of a pumped-storage hydropower plant to reduce the scheduling costs of an isolated power system with high wind power penetration

5. Electricity generation cost reduction for hydrothermal systems with the presence of pumped storage hydroelectric plants;Ha P.T.;Neural Comput. Appl.,2022