Daily Scheduling of Small Hydro Power Plants Dispatch With Modified Particles Swarm Optimization

Moreno, Sinvaldo Rodrigues; Kaviski, Eloy

doi:10.1590/0101-7438.2015.035.01.0025

Cited by 12 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The prime significance of IRES is its focus to energize and electrify remote rural areas promoted by hybrid systems. This helps to achieve sustainable development and improve the basic living environment of rural masse [16]- [17]. This paper presents IRES comprising biomass, large and micro-hydro plants, solar PV, solar thermal, waste to energy plant, wind farm, and geothermal altogether with their problem formulation and constraint handling mechanisms that take into account credible contingencies.…”

Section: Integrated Renewable Energy Systemsmentioning

confidence: 99%

A Review on Security Constrained Economic Dispatch of Integrated Renewable Energy Systems

Tsegaye¹,

Shewarega²,

Bekele³

2018

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

This paper presents a selective survey of papers, books, and reports that articulate recent trends of Security Constrained Economic Dispatch (SCED) of integrated renewable energy systems (IRES). The time-period under consideration is 2008 through 2020. This is done to provide an up-to-date review of the recent, major advancements in the SCED, and state-of-theart since 2008. This helps identify further challenges needed in adopting smarter grids, and indicate ways to address these challenges. The study was conducted in three areas of interest that are relevant for articulating the recent trends of SCED. These areas are (i) SCED of power systems with IRES, (ii) SCED mathematical formulation and solution methods, and (iii) SCED challenges. The review results and research directions deduce that the state of the art research is not enough and needs special attention on following the path of artificial intelligence-based optimization.

show abstract

Section: Integrated Renewable Energy Systemsmentioning

confidence: 99%

A Review on Security Constrained Economic Dispatch of Integrated Renewable Energy Systems

Tsegaye¹,

Shewarega²,

Bekele³

2018

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

show abstract

“…Hydropower can therefore provide a full range of spinning reserves, non-spinning reserves, operating reserves, responsive reserves, regulation up, and regulation down required for high penetration of wind and solar [14]. To do this, optimal dispatch and reserve allocation are needed.…”

Section: Power Mismatchmentioning

confidence: 99%

“…To formulate an economic dispatch problem, the first objective function f1(x) in equation ( 4) represents the objective function of hydropower generation plants [14]…”

Section: Ogd For Hydromentioning

confidence: 99%

Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network

Tsegaye¹,

Bekele²

2018

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

In this paper, an optimal generation dispatch of the Ethiopian power system using a hybrid Genetic Algorithm-Hopfield Neural Network (GA-HNN) is presented to reduce recursive blackouts. Reformulation of generation dispatch for a power grid comprising biomass, hydro, solar, waste to energy plant, wind and geothermal have been carried out. Each of these sources requires a mathematical formulation that considers security limits and intermittency of renewables. Modelling and simulation was conducted on MATLAB. According to the simulation results obtained, it can be deduced that GA-HNN based optimal generation dispatch of Ethiopian power system is a key solution in connection to developments needed in the adoption and realization of smarter grids as it concurrently increases its security level and decreases total generation cost. Generally, reducing the number of recursive blackouts, decreasing generation cost, allocating optimal generation level, and reducing computation time are prospects of employing GA-HNN based OGD.

show abstract

“…The plant-based HPF is also widely used in the context of short-term GS models, whether in purely hydro systems [11][12][13], hydrothermal systems [14][15][16][17][18], or hydrothermal systems interconnected with renewable sources such as solar and wind [14][15][16][17]. In [15], it PWL is obtained as a function of the turbined outflow and gross head through CH techniques.…”

Section: Introductionmentioning

confidence: 99%

Continuous Piecewise Linear Approximation of Plant-Based Hydro Production Function for Generation Scheduling Problems

Abreu

Finardi

2022

Energies

View full text Add to dashboard Cite

An essential challenge in generation scheduling (GS) problems of hydrothermal power systems is the inclusion of adequate modeling of the hydroelectric production function (HPF). The HPF is a nonlinear and nonconvex function that depends on the head and turbined outflow. Although the hydropower plants have multiple generating units (GUs), due to a series of complexities, the most attractive modeling practice is to represent one HPF per plant, i.e., a single function is built for representing the plant generation instead of the generation of each GU. Furthermore, due to the computation time constraints and representation of nonlinearities, the HPF must be given by a piecewise linear (PWL) model. This paper presented some continuous PWL models to include the HPF per plant in GS problems of hydrothermal systems. Depending on the type of application, the framework allows a choice between the concave PWL for HPF modeled with one or two variables and the nonconvex (more accurate) PWL for HPF dependent only on the turbined outflow. Basically, in both PWL models, offline, mixed-integer linear (or quadratic) programming techniques are used with an optimized pre-selection of the original HPF dataset obtained through the Ramer-Douglas-Peucker algorithm. As a highlight, the framework allows the control of the number of hyperplanes and, consequently, the number of variables and constraints of the PWL model. To this end, we offer two possibilities: (i) minimizing the error for a fixed number of hyperplanes, or (ii) minimizing the number of hyperplanes for a given error. We assessed the performance of the proposed framework using data from two large hydropower plants of the Brazilian system. The first has 3568 MW distributed in 50 Bulb-type GUs and operates as a run-of-river hydro plant. In turn, the second, which can vary the reservoir volume by up to 1000 hm3, possesses 1140 MW distributed in three Francis-type units. The results showed a variation from 0.040% to 1.583% in terms of mean absolute error and 0.306% to 6.356% regarding the maximum absolute error even with few approximations.

show abstract

Daily Scheduling of Small Hydro Power Plants Dispatch With Modified Particles Swarm Optimization

Cited by 12 publications

References 11 publications

A Review on Security Constrained Economic Dispatch of Integrated Renewable Energy Systems

A Review on Security Constrained Economic Dispatch of Integrated Renewable Energy Systems

Optimal Generation Dispatch of Ethiopian Power System Using Hybrid Genetic Algorithm-Hopfield Neural Network

Continuous Piecewise Linear Approximation of Plant-Based Hydro Production Function for Generation Scheduling Problems

Contact Info

Product

Resources

About