Flexibilization of Biogas Plants through Intelligent Automation Generates Earning Opportunities

2016 ◽  
Vol 19 ◽  
pp. 74-80
Author(s):  
Ralf Böhm ◽  
Ralph M. Schaidhauf ◽  
Robert Spanheimer ◽  
Diana Maria Erdmann ◽  
Jörg Franke

Due to guaranteed feed-in tariffs under the Renewable Energy Act and the feed-in precedence of renewable power generation plants the operation of biogas plants in Germany is currently plannable and economically advantageous. However, it is foreseeable that without this subvention biogas plants cannot compete with other regenerative plants such as photovoltaic and wind power plants on the open electricity market. Accordingly, it is of great importance for biogas plant operators to identify and occupy suitable niches to make full use of the unique features of their plants. Because of their predictable availability, those plants can particularly benefit of earning opportunities in times of high demand and contribute to grid stabilization. In order to keep the effort for plant operators as low as possible the automation of existing biogas plants can be extended and enabled to communicate with market platforms or control centers of the distribution system operator. Thus biogas plants can contribute to balancing group compensation not only for accounting purposes but factual by appropriate feed-in into the electrical network in consideration of actual demand.

Author(s):  
Mogaligunta Sankaraiah ◽  
Sanna Suresh Reddy ◽  
M Vijaya Kumar

<p>Wind is available with free of cost anywhere in the world, this wind can be used for power generation due to many advantages. This attracts the researchers to work on wind power plants. The presence of wind power plants on distribution system causes major influence on voltage controlled devices (VCDs) in terms of life of the devices. Therefore, this paper proposes grey wolf optimization method (GWO) together with forecasted load one day in advance. VCDs are on load tap changer (ULTC) and capacitors (CS), there are two main objectives first one is curtail of distribution network (DN) loss and second one is curtailing of ULTC and CS switching’s. Objectives are achieved by controlling the reactive power of DFIG in coordination with VCDs. The proposed method is planned and applied in Matlab/Simulink on 10KV practical system with DFIG located at different locations. To validate the efficacy of GWO, results are compared with conventional and dynamic programming methods without profane grid circumstances.</p>


2019 ◽  
Vol 2019 (16) ◽  
pp. 2493-2499
Author(s):  
Jianing Gao ◽  
Bei Han ◽  
Chenbo Xu ◽  
Lijun Zhang ◽  
Guojie Li ◽  
...  

Author(s):  
Linda Ponta ◽  
Luca Oneto ◽  
Davide Anguita ◽  
Silvano Cincotti

The paper deals with the problem of choosing the best O&amp;M strategy for wind power plants. Current maintenance theory considers just production opportunities and minimizes the maintenance costs, but with the liberalization of the electricity market also the electricity price has become an important variable to take into account in the O&amp;M scheduling. Another important variables that is often neglected by the existing maintenance theory is the weather condition. This paper proposes a new strategy that takes into account the electricity price and weather conditions, improves the expected profit of the systems, and reduce the overall maintenance and logistic costs. The maintenance schedule is formalized as an optimization problem where the discounted cumulative profit of a wind generation portfolio in a fixed-time horizon (e.g. two years ahead), subject to the technologically-derived maintenance time constraints is optimized. Both the theoretical and computational aspects of the proposed O&amp;M strategy are discussed. Results show that taking into account market and weather opportunities in the design of the maintenance strategy, it is possible to achieve a more complete scheduling for a given set of wind power plants.


2017 ◽  
Vol 9 (4) ◽  
pp. 043306 ◽  
Author(s):  
Anuj Banshwar ◽  
Naveen Kumar Sharma ◽  
Yog Raj Sood ◽  
Rajnish Shrivastava

2019 ◽  
pp. 0309524X1987403 ◽  
Author(s):  
Aleksey A Zhidkov ◽  
Andrey A Achitaev ◽  
Mikhail V Kashurnikov

The urgency of developing renewable power generation in Russia is associated with the presence of a large number of regions with a low degree of electrification. More than two-thirds of the territory of Russia is located in the area of decentralized power supply, where the main source of energy is imported diesel fuel or associated gas from local fields. At present, one of the directions for the development of renewable power generation in Russia is the implementation of a hybrid power supply system for autonomous power systems of remote regions. However, along with the possibility of using renewable energy sources, it is important for such regions to generate heat from co-generation of diesel power plants, since there is an urgent problem of heat supply for remote regions, especially located in the Far North of Russia. This article presents an analysis of the influence of using renewable energy sources in autonomous power systems on co-generation of diesel power plants.


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