Economic evaluation of a photovoltaic power generation introduced into an electric power system with electricity storage

1992 ◽  
Vol 112 (4) ◽  
pp. 91-100 ◽  
Author(s):  
Yoshikazu Nishikawa ◽  
Tetsuo Tezuka ◽  
Hajime Kita ◽  
Moon-Sung Kang
Keyword(s):  
Power Generation ◽  
Economic Evaluation ◽  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
Electricity Storage ◽  
Photovoltaic Power

A Study on Influence of Ramp Event of Aggregated Power Output of Photovoltaic Power Generation on Electric Power System Frequency

2017 ◽  
Vol 202 (3) ◽  
pp. 11-21 ◽  
Author(s):  
TAKEYOSHI KATO ◽  
YUSUKE MANABE ◽  
TOSHIHISA FUNABASHI ◽  
KAZUYA MATSUMOTO ◽  
MUNEAKI KURIMOTO ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Power Output ◽  
Electric Power System ◽  
Photovoltaic Power ◽  
System Frequency

A Study on Influence of Ramp Event of Aggregated Power Output of Photovoltaic Power Generation on Electric Power System Frequency

2017 ◽  
Vol 137 (4) ◽  
pp. 297-305
Author(s):  
Takeyoshi Kato ◽  
Yusuke Manabe ◽  
Toshihisa Funabashi ◽  
Kazuya Matsumoto ◽  
Muneaki Kurimoto ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Power Output ◽  
Electric Power System ◽  
Photovoltaic Power ◽  
System Frequency

scholarly journals A meliorated Harris Hawks optimizer for combinatorial unit commitment problem with photovoltaic applications

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ayani Nandi ◽  
Vikram Kumar Kamboj
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Unit Commitment ◽  
Renewable Energy Sources ◽  
Electric Power System ◽  
Unit Commitment Problem ◽  
Spinning Reserve ◽  
Commitment Problem ◽  
Sine Cosine Algorithm

AbstractConventional unit commitment problem (UCP) consists of thermal generating units and its participation schedule, which is a stimulating and significant responsibility of assigning produced electricity among the committed generating units matter to frequent limitations over a scheduled period view to achieve the least price of power generation. However, modern power system consists of various integrated power generating units including nuclear, thermal, hydro, solar and wind. The scheduling of these generating units in optimal condition is a tedious task and involves lot of uncertainty constraints due to time carrying weather conditions. This difficulties come to be too difficult by growing the scope of electrical power sector day by day, so that UCP has connection with problem in the field of optimization, it has both continuous and binary variables which is the furthermost exciting problem that needs to be solved. In the proposed research, a newly created optimizer, i.e., Harris Hawks optimizer (HHO), has been hybridized with sine–cosine algorithm (SCA) using memetic algorithm approach and named as meliorated Harris Hawks optimizer and it is applied to solve the photovoltaic constrained UCP of electric power system. In this research paper, sine–cosine Algorithm is used for provision of power generation (generating units which contribute in electric power generation for upload) and economic load dispatch (ELD) is completed by Harris Hawks optimizer. The feasibility and efficacy of operation of the hybrid algorithm are verified for small, medium power systems and large system considering renewable energy sources in summer and winter, and the percentage of cost saving for power generation is found. The results for 4 generating units, 5 generating units, 6 generating units, 7 generating units, 10 generating units, 19 generating units, 20 generating units, 40 generating units and 60 generating units are evaluated. The 10 generating units are evaluated with 5% and 10% spinning reserve. The efficacy of the offered optimizer has been verified for several standard benchmark problem including unit commitment problem, and it has been observed that the suggested optimizer is too effective to solve continuous, discrete and nonlinear optimization problems.

Embodiment of virtual water of power generation in the electric power system in China

2015 ◽  
Vol 151 ◽  
pp. 345-354 ◽  
Author(s):  
Xiaojie Zhu ◽  
Ruipeng Guo ◽  
Bin Chen ◽  
Jing Zhang ◽  
Tasawar Hayat ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Virtual Water ◽  
Electric Power System

scholarly journals A Type-2 Fuzzy Chance-Constrained Fractional Integrated Modeling Method for Energy System Management of Uncertainties and Risks

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2472 ◽  
Author(s):  
Changyu Zhou ◽  
Guohe Huang ◽  
Jiapei Chen
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power System ◽  
Electric Power ◽  
Clean Energy ◽  
Electric Power System ◽  
Air Pollutant ◽  
Pollutant Emissions ◽  
Mixed Integer

In this study, a type-2 fuzzy chance-constrained fractional integrated programming (T2FCFP) approach is developed for the planning of sustainable management in an electric power system (EPS) under complex uncertainties. Through simultaneously coupling mixed-integer linear programming (MILP), chance-constrained stochastic programming (CCSP), and type-2 fuzzy mathematical programming (T2FMP) techniques into a fractional programming (FP) framework, T2FCFP can tackle dual objective problems of uncertain parameters with both type-2 fuzzy characteristics and stochastic effectively and enhance the robustness of the obtained decisions. T2FCFP has been applied to a case study of a typical electric power system planning to demonstrate these advantages, where issues of clean energy utilization, air-pollutant emissions mitigation, mix ratio of renewable energy power generation in the entire energy supply, and the displacement efficiency of electricity generation technologies by renewable energy are incorporated within the modeling formulation. The suggested optimal alternative that can produce the desirable sustainable schemes with a maximized share of clean energy power generation has been generated. The results obtained can be used to conduct desired energy/electricity allocation and help decision-makers make suitable decisions under different input scenarios.

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