Basic aspects of determining the optimal place of installing distributed power generation in the electric power system

2020 ◽  
Author(s):  
Ya. Yu. Malkova ◽  
R. A. Ufa ◽  
A. S. Vasilev
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Electric Power System ◽  
Distributed Power ◽  
Distributed Power Generation

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.

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

Assessing incentive policies for integrating centralized solar power generation in the Brazilian electric power system

Energy Policy ◽  
2013 ◽  
Vol 59 ◽  
pp. 198-212 ◽  
Author(s):  
Diego Malagueta ◽  
Alexandre Szklo ◽  
Bruno Soares Moreira Cesar Borba ◽  
Rafael Soria ◽  
Raymundo Aragão ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Solar Power ◽  
Electric Power System ◽  
Solar Power Generation ◽  
Incentive Policies

A study of AC link and DC link method for wind power generation connected to electric power system

2011 ◽  
Vol 178 (3) ◽  
pp. 21-30
Author(s):  
Kazuto Yukita ◽  
Shinsuke Washizu ◽  
Hiroyuki Nakano ◽  
Akihiro Torii ◽  
Akiteru Ueda ◽  
...  
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Wind Power ◽  
Electric Power System ◽  
Wind Power Generation

Distributed placement of wind farms to minimize the impact of power fluctuations on the electric power system

2021 ◽  
Vol 14 (1) ◽  
pp. 52-60
Author(s):  
V. A. Shakirov ◽  
V. G. Kurbatsky ◽  
N. V. Tomin ◽  
G. B. Guliev
Keyword(s):  
Power Generation ◽  
Power System ◽  
Electric Power ◽  
Coefficient Of Variation ◽  
Wind Farms ◽  
Electric Power System ◽  
Maximum Output ◽  
Utilization Factor ◽  
Power Fluctuations ◽  
The Impact

The problem of the influence of power fluctuations of wind farms due to the variability of the wind speed on the electric power system is considered. With high wind energy penetration, an increase in the operating reserve in electric power systems is required to cover possible sudden power fluctuations. One of the ways to reduce the stochastic nature of the wind farms power generation is their geographically distributed location. A method is proposed for the selection of capacity and distributed placement of wind farms, taking into account the factor of the variability of the total generated power. In each of the prospective areas for wind farm placement, the simulation of electricity generation by a single wind turbine with hour-by-hour breakdown is carried out using the developed WindMCA software based on long-term ground-based weather stations data. Optimization of wind farms capacity and their distributed placement in areas is carried out using a genetic algorithm in the MATLAB environment. The target function is the coefficient of variation of the power generated by all wind farms in the areas under consideration, depending on the number of wind turbines therein. Power duration curves are used in the final comparison of wind farms siting options. The application of the method is carried out on the example of the wind farms placement in the Zabaykalsky Krai. A solution has been obtained that provides a minimum coefficient of variation of the wind farms generated power and a relatively high capacity utilization factor. With a distributed location of wind farms, the duration of the period with the maximum output is reduced, however, the duration of low power generation is significantly increased. With an increase in the number of wind farms connected to various nodes of the electric power system, a certain guaranteed level of power generation can be obtained, which, ultimately, will reduce the required amount of the reserve of generating capacities.

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