power optimization Articles
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Efficient pricing of a bundled product of both real and reactive power
This paper examines a price mechanism with one price assigned for each level of bundled real and reactive power. Equilibrium allocation under this pricing approach raises system efficiency via better allocation of the reactive power reserves, neglected in the traditional pricing approach. Pricing reactive power separately is not very practical since its cost is highly dependent on real power ...
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Optimal power flow with benefit maximisation in coordinated bilateral power market
This paper presents an optimal power flow solution in a coordinated bilateral power network using AC power flow–based methodology. The main objective of the present work is to maximise the benefits in power market. The interior point (IP)–based optimisation method has been used for finding the global solution. The solution has been obtained by announcement of the system information. This ...
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Neurobotz - A Smart Residential Power Optimizer
NEUROBOTZ (A GreenBrilliance product) is an AI-based Intelligent Transformer Technology, a state-of-the-art way of changing how incoming electric power is distributed and utilized in residential homes. It is connected in series within the loads on the electrical circuit. The predictive analytics algorithm creates an optimal load curve and controls the incoming power flow to reduce the amount of ...
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A new method for locating TCSC for congestion management in deregulated electricity markets
This paper presents the effects of thyristor controlled series compensator (TCSC) on congestion of transmission lines and locational marginal price (LMP) in deregulated power systems. The placement of TCSC is to reduce congestion in deregulated electricity markets based on the calculation of congestion rent. The main objective of TCSC placement is either to minimise congestion rent or to maximise ...
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Optimal power flow using biogeography based optimisation
This paper presents a novel biogeography based optimisation (BBO) algorithm for solving constrained optimal power flow (OPF) problems in power system. In this paper, the feasibility of the proposed algorithm is demonstrated for IEEE 30-bus and IEEE 118-bus systems with three different objective functions and it is compared to other population based optimisation techniques. A comparison of ...
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Oppositional biogeography-based optimisation for optimal power flow
This paper describes optimal power flow based on oppositional biogeography-based optimisation (OBBO) in which fuel cost, voltage deviation and power transmission loss functions are individually used as the problem objectives. The feasibility of the proposed method is exhibited for standard IEEE 30-bus and IEEE 118-bus systems and the results obtained by using the proposed approach are compared ...
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An improved genetic algorithm approach for security constrained optimal power flow with corrective action
Security constrained optimal power flow (SCOPF) is a special type of optimal power flow (OPF) programme in which the optimum value of the objective function is computed while satisfying the constraints, both under normal and contingency conditions. This paper presents an improved genetic algorithm (IGA) approach to solve the corrective SCOPF problem which takes into account the system corrective ...
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Particle swarm optimisation technique using Gaussian and Cauchy probability distribution function for optimal power flow problem
This paper presents a modified particle swarm optimisation (PSO) algorithm for solving optimal power flow (OPF) problem through the application of Gaussian and Cauchy probability distributions. The modified PSO approach introduces diversification into the particle thus preventing PSO algorithm from premature convergence. The controllable system quantities are optimised to minimise fuel cost of ...
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Optimal placement of multi-type FACTS devices to enhance Total Transfer Capability using Improved Evolutionary Programming
An Improved Evolutionary Programming (IEP) is proposed to determine the optimal placement of multi-type Flexible AC Transmission Systems (FACTS) devices for maximising Total Transfer Capability (TTC) of power transactions. IEP simultaneously searches for types, locations, and parameters of FACTS devices, real power generations in source area, real power loads in sink area, and generation bus ...
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Multiobjective optimal VAR dispatch considering control variable adjustment costs
In this paper, strength Pareto evolutionary algorithm (SPEA) is applied to solve the multiobjective optimal reactive power (VAR) dispatch problem. The optimal VAR dispatch problem is formulated as a non-linear constrained multiobjective optimisation problem where the real power loss and the control variable adjustment costs are to be optimised simultaneously. The proposed approach handles the ...
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Optimal design of power system stabiliser using a new cost function and PSO algorithm
In power system, the application of the power system stabiliser (PSS) has been proved to overcome the stability of power system. It is necessary to determine the appropriate PSS parameters. In this paper, a new cost function is presented for the tuning of PSS parameters. Optimisation of PSS parameters has been done by particle swarm optimisation algorithm. The power plant system that is simulated ...
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Quick Guide to Smart Modules
While solar softwares can help design the optimal PV system, the components you select will also make a difference in achieving the desired energy production. One particular component type—the smart module—has been increasing in popularity because of its benefits compared to traditional modules. If you haven’t considered smart modules (also known as DC-optimized modules) ...
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Optimal reactive power dispatch based on the improved seeker optimisation algorithm and statistical analysis
Optimal reactive power dispatch (ORPD) is one of the important non–linear mixed–variable optimisation problems in power system which includes both continuous and discrete control variables satisfying both equality and inequality constraints. This paper presents a new evolutionary optimisation algorithm to solve the optimal reactive power dispatch problem with operational constraints using the ...
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Advanced BLDC machine drive with minimum torque ripple and maximum power
In this paper, the advanced control methods to minimise torque ripple and to maximise power density of a brushless DC motor/generator system. A simple and straightforward torque pulsation control method with copper loss minimisation for BLDC machines is presented first. Then, an optimal power control to maximise power density and minimise machine size and weight for BLDC machines is explained for ...
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Power use methods for optimal design of WDS: history and their use as post-optimization warm starts
This paper describes an extension to the optimal power use surface (OPUS) methodology, which consists of applying a metaheuristic post-optimization process after a network has been designed through the OPUS algorithm. Four different types of metaheuristics were tested in this study. The OPUS methodology focuses on the setting up of efficient ways in which energy is dissipated and flow is ...
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Incentive charge calculation based on counter flow effect
This paper studies the transmission pricing using optimal power flow when both pool and bilateral system coexist. The paper introduces the evaluation of transmission pricing for all market participants by considering counter flow effects. This approach uses the properties of the mega watt-mile method but takes into account the economic benefits of both trading parties by analysing their shares ...
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Particle swarm optimisation for security constrained optimal power flow including TCSC
The planning, operation and control of power system are having great significance governed by security considerations. In an interconnected power system network obtaining maximum performance, maintaining system stability limits and facilitating efficient system operation are the challenging tasks. The estimation of effect of contingencies and planning suitable measures are desirable issues for ...
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Thermal exergy optimisation for an irreversible cogeneration power plant
The optimal design model, based on exergy analysis, of an irreversible cogeneration cycle has been presented using finite-time thermodynamics. The external irreversibility is due to the thermal resistance between the system and the heat reservoirs while the internal irreversibility is due to the non-isentropic compression and expansion process within the system. The internal irreversibility of ...
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A Hybrid Particle Swarm Optimisation approach for Reactive Power Optimisation in electricity market
Reactive Power Optimisation (RPO) is an important issue in deregulated electricity market. This paper presents a Hybrid Particle Swarm Optimisation (HPSO) approach for solving the RPO problem in electricity market. Particle Swarm Optimisation (PSO) is a population-based search algorithm for global optimisation and has a minimum number of control parameters. In the proposed HPSO, to avoid the ...
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Day-ahead AC-DC OPF-based nodal price prediction by artificial neural network (ANN) in a restructured electricity market
In the last few years, electricity markets have significantly restructured in both developed and developing countries. Accurate prediction of dayahead electricity nodal price has now become an important activity to address the price volatility in the marketplace. This will facilitate the market participants to estimate the risk and have effective decisionmaking in formulating bidding strategy. ...
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