Frontiers | Optimal operation of urban tidal drainage pumping …
In this article, based on genetic algorithm and coupled with head–water level successive approximation to achieve the effective matching between the time average head H i and the real-time change of upstream level Z i of the station during the optimized operation of the tidal drainage pumping station, and then obtain the optimization scheme ...
Distributed Energy Systems: Multi-Objective Design Optimization …
They developed this operational scheme for both grid-connected and off-grid DES and optimized their design using a genetic algorithm. Some studies emphasize the importance of peer-to-peer (P2P) energy sharing, which involves sharing surplus energy among distributed energy systems to optimize energy resource allocation, reduce …
Research on configuration optimization of distributed energy storage ...
Second, a distributed shared energy storage double-layer planning model is constructed, with the lowest cost of the distributed shared energy storage system as the upper-layer objective, and the ...
Design of Multi-objective Optimization Energy Management Strategy Based ...
Abstract: This paper proposed an energy management strategy (EMS) based on genetic algorithm (GA) for a hybrid energy system consisting of photovoltaic array (PV), fuel cell, electrolyzer, hydrogen storage system and battery. Considering the economy of the system, the equivalent hydrogen consumption of the system is the main part of the objective …
Intelligent energy management for solar-powered ...
Fig. 1 (a) and (b) show the typical energy equipment in a solar-powered UAV, namely an energy supply system and energy-consuming system, respectively. As shown in Fig. 1 (a), the energy supply system, which includes photovoltaic and battery systems, provides the UAVs with energy during the cruise. The photovoltaic system …
Optimization configuration of energy storage capacity based on …
Fig. 1 shows the main components of microgrid power station (MPS) structure including energy generation sources, energy storage, and the convertors circuit. The MPS accounts for a large proportion in the renewable energy grid, and the inherent power uncertainty has a more noticeable impact on the power balance [16, 17].When …
An improved optimal allocation scheme of energy storage system …
Multi-objective particle swarm Optimization-Non-dominated sorting genetic algorithm Ⅲ (MOPSO NSGA Ⅲ) is firstly applied in optimal allocation of ESSs for handling many-objective optimization problems.. A two-step energy storage planning scheme considering transient responses during operation is first proposed in this work.
Design of tidal range energy generation schemes using a Genetic ...
The Genetic Algorithm model has been used to design a new Tidal Range Scheme proposed for development in the Bristol Channel, UK, with a potential to generate about 7.16 TWh/yr. The design of the scheme was also investigated using a traditional grid search approach for a range of scenarios, together with the model being …
Article: Exergetic design and optimisation of LNG cold energy ...
The results showed that the optimised exergy efficiency of the LNG cold energy full power utilisation system proposed in this paper reaches 54.69%, which has the best cold energy utilisation efficiency; and the optimised LNG cold energy cascade comprehensive utilisation system scheme has the optimised exergy efficiency at 50.13%, …
Genetic Algorithm in Tidal Range Schemes'' Optimisation
Optimisation of tidal power arrays using a genetic algorithm. Machines for generating electricity from tidal flows have seen substantial development in recent years, and studies have examined the issues that govern the positioning of devices in …
Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm …
Mechanics & Industry 17, 109 (2016) c AFM, EDP Sciences 2015 DOI: 10.1051/meca/2015047 Mechanics &Industry Design and optimization of a compressed air energy storage (CAES) power plant by implementing genetic algorithm ...
Genetic algorithms: theory, genetic operators, solutions, and …
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and biological processes of reproduction of the fittest individual. GA is one of the most popular optimization algorithms that is currently employed in a wide range of real applications. Initially, the GA fills the population with random candidate solutions and …
HVAC Optimization Genetic Algorithm for Industrial Near-Zero-Energy ...
Pompeiro et al. applied dynamic programming and genetic algorithm (GA) optimization to maximize thermal comfort and minimize the HVAC cost with photovoltaic (PV) production and storage in an experimental facility . Their approach concentrated mainly on the exploitation of energy from the PV and storage.
A review on genetic algorithm: past, present, and future
Genetic algorithm (GA) is an optimization algorithm that is inspired from the natural selection. It is a population based search algorithm, which utilizes the concept of survival of fittest [ 135 ]. The new populations are produced by iterative use of genetic operators on individuals present in the population.
Genetic Algorithm Optimization of an Energy Storage …
This chapter presents a methodology to optimize the capacity and power of the ultracapacitor (UC) energy storage device and also the fuzzy logic supervision strategy for a battery electric vehicle …
Multi-objective particle swarm optimization algorithm based on …
The existing research on LIB-SC HESS mainly focuses on configuration schemes ... [25] takes the comprehensive energy system economy as the goal, adopting the genetic algorithm based on an elitist preservation strategy to optimize the planning model. The basic framework of an integrated energy system including hybrid energy …
Genetic algorithms: theory, genetic operators, solutions, and ...
A genetic algorithm (GA) is an evolutionary algorithm inspired by the natural selection and biological processes of reproduction of the fittest individual. GA is one of the most popular optimization algorithms that is currently employed in a wide range of real applications. Initially, the GA fills the population with random candidate solutions and …
Journal of Energy Storage
As a mechanical energy storage mode, pump as turbine ... The total number of grids in the three mesh schemes (N1,N2,N3) is 8,628,897, 3,736,403, 1,658,684. ... the publication of this paper named ''Performance Improvement of a Pump as Turbine in Storage Mode by Optimization Design Based on Genetic Algorithm and Fuzzy Logic''.
Optimal Planning and Operation of Battery Energy Storage …
Abstract: In this paper, an improved genetic algorithm (IGA) implemented with reliable power system analysis tool is developed to determine the optimal planning and operation of battery energy storage system (BESS) in smart grid with photovoltaic (PV
Modelling and optimization of liquid air energy storage systems …
Currently, cryogenic energy storage (CES), especially liquid air energy storage (LAES), is considered as one of the most attractive grid-scale thermo-mechanical energy storage technologies [1], [2]. In 1998, Mitsubishi Heavy Industries, ltd. designed the first LAES prototype and assessed its application feasibility and practical performance [3] .
An effective utilization scheme for regenerative braking energy …
The structure of the proposed system is shown in Figure 1.The system includes n TSs with V/v traction transformers and n−1 SPs.The trains A k and B k (k = 1, 2,…,n) are separate in the α k-phase and β k-phase power arms. P A, k and P B, k are the active power of trains A k and B k, respectively.The hardware components of the …
Non-dominated Sorting Genetic Algorithm | SpringerLink
4.1 Introduction. Evolutionary Algorithms mimic natural evolutionary process in nature. One of the most well-regarded evolutionary algorithms is Genetic Algorithm (GA) [ 1 ]. This algorithm has been inspired from the Drawin''s theory of evolutionary. This theory states that natural organisms develop using the natural selection.
(PDF) Research on configuration optimization of distributed energy storage system based on multi-objective genetic algorithm
In view of some problems existing in China''s power market, this paper uses the multi-objective genetic algorithm to analyze the problems in the power market.The energy storage device life daily ...
[PDF] Design of tidal range energy generation schemes using a Genetic Algorithm …
DOI: 10.1016/J.APENERGY.2021.116506 Corpus ID: 233689445 Design of tidal range energy generation schemes using a Genetic Algorithm model @article{Xue2021DesignOT, title={Design of tidal range energy generation schemes using a Genetic Algorithm model}, author={Jingjing Xue and Reza Ahmadian and Owen …
Design and application of energy planning scheme based on …
On the premise of meeting the energy demand of Guangxi Province of China, users can set their own path combination to reduce greenhouse gas emissions by …
An effective utilization scheme for regenerative braking energy …
To ensure that regenerative braking energy is fully utilized by traction trains in the whole railway power supply systems, an effective utilization scheme of the regenerative braking energy based on power regulation with a genetic algorithm (GA) is proposed in this paper.
Design of tidal range energy generation schemes using a Genetic ...
DOI: 10.1016/J.APENERGY.2021.116506 Corpus ID: 233689445; Design of tidal range energy generation schemes using a Genetic Algorithm model @article{Xue2021DesignOT, title={Design of tidal range energy generation schemes using a Genetic Algorithm model}, author={Jingjing Xue and Reza Ahmadian and Owen …
Optimal Planning and Operation of Battery Energy Storage …
Abstract: In this paper, an improved genetic algorithm (IGA) implemented with reliable power system analysis tool is developed to determine the optimal planning and operation of battery energy storage system (BESS) in smart grid with photovoltaic (PV) generation. The main objectives are maximizing benefit from energy losses reduction and energy shaving …
Genetic Algorithm-Based Optimal Sizing of Hybrid Battery/Ultracapacitor Energy Storage System for Wave Energy …
An optimum design model is presented considering the maximum/minimum voltage and current limits and the energy storage units'' temperature and depth of discharge parameters. The series and parallel connection calculations and the required number of battery and UC cells are given in the sizing section.
Multi-objective design optimization of battery thermal management ...
The energy storage system in the EVs contains thousands of individual batteries connected in series and parallels. Extensive heat is generated during the charging/discharging process. ... GP is developed from the genetic algorithm (GA), an adaptive optimization method based on evolutionary theory ... In such a geometric …
Optimization of building integrated energy scheduling using an
Algorithm 1: The improved genetic whale algorithm proposed in this paper is used for energy scheduling, and the adjustment of gas turbines, wind power generation and energy storage equipment is ...
Optimal Photovoltaic/Battery Energy Storage/Electric Vehicle …
of chargers, installed power of renewable energies and energy storage, and the contracted power with the grid [9]. In this paper, a genetic algorithm was employed to solve the optimization model and an Erlang B queuing model simulated EV power demand. Baik et al. determined the number of
