Power-flow study

About: Power-flow study is a research topic. Over the lifetime, 8091 publications have been published within this topic receiving 155053 citations. The topic is also known as: load-flow study.

AC Power Routing System in Home Based on Demand and Supply Utilizing Distributed Power Sources

Abstract: To help reduce consumption of fossil fuels, renewable, natural and distributed power sources are being adopted. These alternative energy sources inevitably show fluctuations in the amount of output power, frequency, and voltage. The suppression of such fluctuations is a key issue to avoid disturbances in power grids. A similar situation arises as far as the regulation of in-home power flow is concerned. We focus on the quality of supplied and demanded power in particular. In this paper, an in-home power distribution system based on information of power is proposed. The system is developed in order to integrate power dispatch and communication. The experimental results show the feasibility of new flexible and efficient power management approaches.

Noninteracting Controls of Interconnected Electric Power Systems

Abstract: A general approach is sought for transient analysis of interconnected electric power systems and design of frequency and tie-line power regulators by applying the matrix methods of multipole system feedback control theory.

Control setting of unified power flow controllers through a robust load flow calculation

Abstract: The unified power flow controller (UPFC) provides a promising means to control power flow in modern power systems. Essentially, the performance depends on proper control setting achievable through a power flow analysis program. The paper presents a reliable method to meet the requirements by developing a Newton–Raphson based load flow calculation program through which control setting of the UPFC can be determined directly. Case studies have been performed on standard IEEE 14-bus and 57-bus systems to show that the proposed method is robust and effective.

Optimal Operation Plan of the Online Electric Vehicle System Through Establishment of a DC Distribution System

Abstract: Owing to the consistent increase in energy efficiency issues, studies for improving the charging efficiency and energy density of batteries have been receiving attention in the electric vehicle transportation sector. This paper deals with an online electric vehicle (OLEV) system which utilizes the dc power system for reducing loss as well as reducing the size of the required battery capacity. Intensive research on grid integration with OLEV has not been performed until recently and it is necessary to calculate the power flow analysis considering the unique characteristics of OLEV for the commercialization of this new transport system (for the application of this new system in the transport sector). In this paper, the dc OLEV power system is being investigated for reducing line losses and peak power thereby reducing the electric cost levied on the substation. Verification processes are performed through simulation for various scenarios to examine the effectiveness of the proposed system in terms of power consumption, battery state of charge, peak power, and loss reduction.

Genetic algorithm for optimal reactive power dispatch

Abstract: Scheduling of reactive power in an optimum manner reduces circulating VAr promoting flatter voltage profile which lead to appreciable MW saving on account of reduced power system losses. Hence, the optimal reactive power dispatch assumes extremely important functioning both in the planning stage as well as in day to day operation of the power system. This paper presents an alternative approach to optimal reactive power dispatch based on genetic algorithm techniques (GAs). The technique is used to search for transformer tap settings and the value of shunt capacitors of a given power system such that the total system power loss is minimised. The proposed method is tested on IEEE 14 and 30 bus test systems and their results are compared with those obtained using load flow calculation.