Uncertainty Costs of Wind Power Generation Considering Expected Energy not Supplied under Different Spinning Reserve Levels

2012 ◽  
Author(s):  
Nuntiya Chaiyabut ◽  
Parnjit Damrongkulkamjorn
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Power Generation ◽  
Spinning Reserve

Effects of Large Scale Wind Power on Total System Variability and Operation: Case Study of Northern Ireland

2003 ◽  
Vol 27 (1) ◽  
pp. 3-20 ◽  
Author(s):  
Shashi Persaud ◽  
Brendan Fox ◽  
Damian Flynn
Keyword(s):  
Power Generation ◽  
Northern Ireland ◽  
Wind Power ◽  
Large Scale ◽  
Wind Farms ◽  
Wind Power Generation ◽  
Wind Generation ◽  
Total System ◽  
Power Capacity ◽  
Spinning Reserve

The paper simulates the potential impact of significant wind power capacity on key operational aspects of a medium-sized grid-power system, viz. generator loading levels, system reserve availability and generator ramping requirements. The measured data, from Northern Ireland, consist of three years of 1/2 hourly metered records of (i) total energy generation and (ii) five wind farms, each of 5 MW capacity. These wind power data were scaled-up to represent a 10% annual energy contribution, taking account of diversity on the specific variability of total wind power output. The wind power generation reduced the system non-wind peak-generation. This reduction equalled 20% of the installed wind power capacity. There was also a reduction in the minimum non-wind generation, which equalled 43% of the wind power capacity. The analysis also showed that the spinning-reserve requirement depended on the accuracy of forecasting wind power ahead of scheduling, i.e. on the operational mode. When wind power was predicted accurately, (i) it was possible to reduce non-wind generation without over-commitment, but, (ii) the spinning-reserve non-wind conventional generation would usually have to be increased by 25% of the wind power capacity, unless quick-start gas generation was available. However, with unpredicted wind power generation, (i) despite reductions in non-wind generation, there was frequent over-commitment of conventional generation, but (ii) usually the spinning-reserve margin could be reduced by 10% of the wind power capacity with the same degree of risk. Finally, it was shown that wind power generation did not significantly increase the ramping duty on the system. For accurately predicted and unpredicted wind power the increases were only 4% and 5% respectively.

Probabilistic estimation of spinning reserves in smart grids with Bayesian-driven reserve allocation adjustment algorithm

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yerzhigit Bapin ◽  
Vasilios Zarikas
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Unit Commitment ◽  
Wind Power Generation ◽  
Total System ◽  
Spinning Reserve ◽  
Content Type ◽  
Novel Approach ◽  
Spinning Reserves ◽  
Actual Unit

Purpose This study aims to introduce a methodology for optimal allocation of spinning reserves taking into account load, wind and solar generation by application of the univariate and bivariate parametric models, conventional intra and inter-zonal spinning reserve capacity as well as demand response through utilization of capacity outage probability tables and the equivalent assisting unit approach. Design/methodology/approach The method uses a novel approach to model wind power generation using the bivariate Farlie–Gumbel–Morgenstern probability density function (PDF). The study also uses the Bayesian network (BN) algorithm to perform the adjustment of spinning reserve allocation, based on the actual unit commitment of the previous hours. Findings The results show that the utilization of bivariate wind prediction model along with reserve allocation adjustment algorithm improve reliability of the power grid by 2.66% and reduce the total system operating costs by 1.12%. Originality/value The method uses a novel approach to model wind power generation using the bivariate Farlie–Gumbel–Morgenstern PDF. The study also uses the BN algorithm to perform the adjustment of spinning reserve allocation, based on the actual unit commitment of the previous hours.

scholarly journals Two-Stage Robust Security-Constrained Unit Commitment with Optimizable Interval of Uncertain Wind Power Output

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Dayan Sun ◽  
Liudong Zhang ◽  
Dawei Su ◽  
Yubo Yuan
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Power Output ◽  
Solution Method ◽  
Benders Decomposition ◽  
Unit Commitment ◽  
Wind Power Generation ◽  
Spinning Reserve ◽  
Two Stage ◽  
Level Model

Because wind power spillage is barely considered, the existing robust unit commitment cannot accurately analyze the impacts of wind power accommodation on on/off schedules and spinning reserve requirements of conventional generators and cannot consider the network security limits. In this regard, a novel double-level robust security-constrained unit commitment formulation with optimizable interval of uncertain wind power output is firstly proposed in this paper to obtain allowable interval solutions for wind power generation and provide the optimal schedules for conventional generators to cope with the uncertainty in wind power generation. The proposed double-level model is difficult to be solved because of the invalid dual transform in solution process caused by the coupling relation between the discrete and continuous variables. Therefore, a two-stage iterative solution method based on Benders Decomposition is also presented. The proposed double-level model is transformed into a single-level and two-stage robust interval unit commitment model by eliminating the coupling relation, and then this two-stage model can be solved by Benders Decomposition iteratively. Simulation studies on a modified IEEE 26-generator reliability test system connected to a wind farm are conducted to verify the effectiveness and advantages of the proposed model and solution method.

Novel Synchronous Generator for Wind Power Generation

2014 ◽  
Vol 2 ◽  
pp. 170-173
Author(s):  
Tsuyoshi Higuchi ◽  
Yuichi Yokoi
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Synchronous Generator ◽  
Wind Power Generation

Development of a City Type Compact Wind Power Generation System

2005 ◽  
Vol 125 (11) ◽  
pp. 1016-1021 ◽  
Author(s):  
Yoshihisa Sato ◽  
Naotsugu Yoshida ◽  
Ryuichi Shimada
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Wind Power Generation ◽  
Generation System ◽  
Power Generation System
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