Base load power plant

About: Base load power plant is a research topic. Over the lifetime, 6121 publications have been published within this topic receiving 96788 citations.

A Bayesian-Based Approach for a Short-Term Steady-State Forecast of a Smart Grid

Abstract: Future distribution networks are undergoing radical changes, due to the high level of penetration of dispersed generation and information/communication technologies, evolving into the new concept of the Smart Grid. Dispersed generation systems, such as wind farms and photovoltaic power plants, require particular attention due to their incorporation of uncertain energy sources. Further and significant well-known uncertainties are introduced by the load demands. In this case, many new technical considerations must be addressed to take into account the impacts of these uncertainties on the planning and operation of distribution networks. This paper proposes novel Bayesian-based approaches to forecast the power production of wind and photovoltaic generators and phase load demands. These approaches are used in a probabilistic short-term steady-state analysis of a Smart Grid obtained by means of a probabilistic load flow performed using the Point Estimate Method. Numerical applications on a 30-busbar, low-voltage distribution test system with wind farms and photovoltaic power plants connected at different busbars are presented and discussed.

Study on Field Demonstration of Multiple Power Quality Levels System in Sendai

Abstract: Presented are reports on the development of a multiple power quality level supply system that provides five kinds of high quality electric power at the same time. The system utilizes both renewable energy and utility and supplies consumers with various kinds of electric power of high quality. It gives consumers the advantages of low cost and reduces the amount of space needed for existing such power converters as UPSs. It also contributes to promoting the introduction of renewable energy. We conducted a field experiment of this system. Over the course of one year, we measured the demand pattern of an experimental field. We then developed a system that was suitable for it. Furthermore, the effects will be studied for about one year and half demonstration by the field.

Power electronics control of wind energy in distributed power systems

Abstract: The global electrical energy consumption is still rising and there is an urgent demand to increase the power capacity. It is expected that the power capacity has to be doubled within 20 years. The production, distribution and use of energy should be as efficient as possible and incentives to save energy at the end-user should also be set up. Deregulation of energy has in the past lowered the investment in larger power plants, which means the need for new electrical power sources will be high in the near future. Two major technologies will play important roles to solve the future problems. One is to change the electrical power production sources from the conventional, fossil (and short term) based energy sources to renewable energy resources. The other is to use high efficient power electronics in power generation, power transmission/distribution and end-user application. This paper discuss the most emerging renewable energy sources, wind energy, which by means of power electronics are changing from being a minor energy source to be acting as an important power source in the energy system. Power electronics is the enabling technology and the presentation will cover the development in wind turbine technology from kW to MW, discuss which power electronic solutions are most feasible and used today.

Optimal placement and sizing of distributed generations using shuffled bat algorithm with future load enhancement

Abstract: Summary In this paper, a new and efficient hybrid optimization algorithm is proposed for optimal placement and sizing of the distributed generations (DGs). Bus voltage profile improvement, line flow capacity, and active and reactive power loss minimization are considered as multi-objectives to optimize under-distribution load enhancement. The addition of multi-DGs to the distribution system, which is already having DGs, is studied under increased load demand. Renewable energy resources such as wind, solar, fuel cell, and micro turbines are considered in power system modeling for finding the optimal placement and sizing. Current injection-based distribution load is considered in DGs modeling in power systems. Active and reactive losses and voltage profiles are studied for all combinations of DGs. To optimize the objective function, a new optimization technique called shuffled bat algorithm is proposed. The proposed methodology is tested on 38-bus and 69-bus radial distribution systems with 100% and 120% of base load conditions to demonstrate its performance and effectiveness. Results show that the planned methodology is superior to existing strategies in terms of multi-objectives considered. Copyright © 2015 John Wiley & Sons, Ltd.