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 Simplified Risk-Based Method for Short-Term Wind Power Commitment

Abstract: The installation of wind power systems is growing rapidly all over the world mainly due to increased environmental concerns regarding electricity generation and the perceived need to use renewable energy resources. The uncertain and intermittent nature of wind power has led to growing problems in integrating wind power in power systems as the wind power penetration continues to increase. One of the main challenges faced in power system operation with high wind penetration is to maintain the system reliability when committing an appropriate amount of power from a wind farm in the lead time considered. Commitment of wind power is a crucial task, which requires accurate wind power forecasting. Statistical methods employing time series model have been used to predict the short term wind power with reasonable accuracy. The short term (up to 4-6 hours) wind power is dependent upon the initial wind power and the wind site. Any future prediction contains a certain amount of risk. Short term wind power commitment is therefore also dependent upon the acceptable risk criterion, which is a managerial decision. This paper presents a conditional probabilistic method within a time series model to recognize the variability in wind, and to quantify the risk in wind power commitment during system operation. Complex methods that require significant amount of data are not readily applied in practical application. This paper presents a generalized and approximate risk based method that is relatively simple to apply, and therefore, should be useful to power system operators and wind farm owners to commit an appropriate amount of power in the next hour(s) based on the known initial wind power output.

Optimum Load-Frequency Continuous Control with Unknown Deterministic Power Demand

Abstract: Since the incremental power demand in a power system is not always apriori known, direct application of the optimum linear- state regulator to load-frequency control is not possible Furthermore, load-frequency control generally requires the use of an integral type control operation to meet the system operating specifications This requirement is introduced into the formulation of the optimum load- frequency control problem presented in this paper

Bi-level Optimal Dispatch and Control Strategy for Air-conditioning Load Based on Direct Load Control

Abstract: The proportion of air-conditioning load in electric terminal devices is growing year by year. Air-conditioning load is the most important part of the power peak-load, deepening the contradiction between supply and demand in China during peak periods and further widening the peak-valley difference. But the air-conditioning load has thermal storage ability, which has the huge potential of load regulation and can be connected into power system dispatch through demand response. The bi-level optimal dispatch and control model for air-conditioning load based on direct load control was proposed to deal with the problem in this paper. The macro-layer model was devoted to minimizing the cost of load dispatch through optimizing dispatching scheme based on air-conditioning load outputs and biddings of load aggregators, and the micro one was aimed at minimizing the difference between air-conditioning outputs and dispatching scheme through optimizing the control strategy of load aggregators. The case study shows the application of the proposed model.

Continuous power supply with back-up generation

Abstract: A continuous power supply may include a turbogenerator to provide power to supply the load and or an energy storage element and possibly also to the primary energy source. Utilizing an isolated DC bus architecture permits bi-directional power flow among interconnected elements.

Contingency Assessment and Network Reconfiguration in Distribution Grids Including Wind Power and Energy Storage

Abstract: In case of abnormal conditions, distribution systems should be reconfigured to overcome the impacts of outages such as overloads of network components and increased power losses. For this purpose, energy storage systems (ESS) and renewable energy sources (RES) can be applied to improve operating conditions. An optimal contingency assessment model using two-stage stochastic linear programming including wind power generation and a generic ESS is presented. The optimization model is applied to find the best radial topology by determining the best switching sequence to solve contingencies. The proposed model is applied to a 69-node distribution system and the results of all possible contingencies in the network are examined considering three different case studies with several scenarios. In addition, a reconfiguration analysis including all the contingencies is presented for the case studies.