Short-Term Generation Schedule Optimisation for Combined Heat and Power

2011 ◽  
Author(s):  
E. E. B. Gomes ◽  
P. Pilidis ◽  
A. L. Polyzakis
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Electricity Market ◽  
Power Plants ◽  
Hybrid Genetic Algorithm ◽  
Combined Heat And Power ◽  
End Users ◽  
Technical Literature ◽  
Priority List ◽  
Distributed Generators

In the last decades one of the most difficult problems in the electricity market has been how to dispatch and manage the electricity in power generation plants. Despite of all the benefits of distributed poly-generation and combined heat and power systems, their penetration in the power market worldwide is quite modest and one of the barriers against their increasing participation is the high fees for back-up supplies, which is one of the problems addressed in this investigation. This paper introduces a pool of distributed generation units (named nerve-centre) able to economically optimise the generation schedule of gas turbine power plants and end-users interconnected through a mini-grid. A hybrid genetic algorithm adapted priority list was developed to solve the multi unit generation schedule optimisation problem. The algorithm developed in this study leads the optimisation mechanism to a faster convergence and a very low risk of non-convergence to the optimal result. Despite the power generation optimisation studies reported in the technical literature, none of them has been modelled for such a pool of distributed generators trading electricity in the competitive market. This investigation shows that the proposed nerve-centre concept can result in significant savings to generators/end-users.

Generation Schedule Optimisation for Gas Turbine Power Systems

2007 ◽  
Author(s):  
E. E. B. Gomes ◽  
P. Pilidis ◽  
A. L. Polizakis
Keyword(s):  
Power Generation ◽  
Dynamic Programming ◽  
Power Systems ◽  
Electricity Market ◽  
Gas Turbines ◽  
Dynamic Programming Algorithm ◽  
Competitive Market ◽  
Programming Algorithm ◽  
Significant Saving ◽  
Priority List

In the last decades, the approach to dispatch and manage electricity in power generation plants has been one of the most difficult problems in the electricity market. Despite of all the benefits of distributed poly-generation and combined heat and power systems, their penetration in the power market worldwide is quite modest and one of the barriers against their increasing participation is the high fees for back-up supplies, which is one of the problems addressed in this investigation. This paper introduces a hybrid dynamic programming adapted priority list technique to solve the multi unit generation schedule optimization problem of a pool of independent gas turbines based power generation units. The combination of the traditional Dynamic Programming algorithm and the proposed heuristic Adapted Priority List technique allowed a significant reduction on the complexity of the original problem without rejecting the optimal solution. Despite of the power generation optimization studies available in the technical literature, none of them have been modeled for such pool of independent power generators trading electricity in the competitive market. This approach shows that the proposed concept can result in a significant saving to generators/end-users trading electricity in a competitive market.

Reliability Index of Wind-Solar Hybrid Power Plants using the Expected Energy Not Supplied Method

2019 ◽  
Vol 8 (4) ◽  
pp. 9449-9456
Keyword(s):  
Power Plant ◽  
Power Systems ◽  
Electricity Market ◽  
Reliability Index ◽  
Power Plants ◽  
Initial Conditions ◽  
Hybrid Plant ◽  
Total Power ◽  
Hybrid Power ◽  
Hybrid Power Plant

This paper proposes the reliability index of wind-solar hybrid power plants using the expected energy not supplied method. The location of this research is wind-solar hybrid power plants Pantai Baru, Bantul, Special Region of Yogyakarta, Indonesia. The method to determine the reliability of the power plant is the expected energy not supplied (EENS) method. This analysis used hybrid plant operational data in 2018. The results of the analysis have been done on the Pantai Baru hybrid power plant about reliability for electric power systems with EENS. The results of this study can be concluded that based on the load duration curve, loads have a load more than the operating kW of the system that is 99 kW. In contrast, the total power contained in the Pantai Baru hybrid power plant is 90 kW. This fact makes the system forced to release the load. The reliability index of the power system in the initial conditions, it produces an EENS value in 2018, resulting in a total value of 2,512% or 449 kW. The EENS value still does not meet the standards set by the National Electricity Market (NEM), which is <0.002% per year. Based on this data, it can be said that the reliability of the New Coast hybrid power generation system in 2018 is in the unreliable category.

Earthquake Experience Data Point to Benefit of Diverse Backup Power

2014 ◽  
Author(s):  
David J. Calhoun ◽  
Mark A. Gake
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Nuclear Power ◽  
Power Plants ◽  
Electrical Power ◽  
Electrical Power Systems ◽  
Common Mode ◽  
Failure Risk ◽  
Diesel Generators ◽  
The Individual

Operating nuclear power plants typically have backup electrical power supplied by diesel generators. Although backup power systems are designed with redundant trains, each capable of supplying the power requirements for safe shutdown equipment, there is a common-mode seismic failure risk inherent in these customary backup power arrangements. In an earthquake, multiple equipment trains with similar, if not identical, components located side-by-side are exposed to inertial forces that are essentially identical. In addition, because of their similar subcomponent configurations, seismic fragilities are approximately equal. In that case, the probability of multiple backup power system failures during an earthquake is likely to be dependent on, and nearly the same as, the individual seismic failure probability of each equipment train. Post-earthquake inspections at conventional multiple unit power stations over the last 40 years identified this common-mode seismic failure risk long before the tsunami-related common-mode failures of diesel generators at Fukushima Daiichi in March 2011. Experience data from post-earthquake inspections also indicate that failure probabilities of diverse sets of power generation equipment are independent and inherently less susceptible to common-mode failures. This paper demonstrates that employing diverse backup power designs will deliver quantifiable improvements in electrical system availability following an earthquake. These improvements are illustrated from available literature of post-earthquake inspection reports, along with other firsthand observations. A case study of the seismic performance of similarly configured electrical power generation systems is compared to the performance of diverse sets of electrical power systems. Seismic probabilistic risk analyses for several system configurations are presented to show the benefit of improved post-earthquake availability that results from designing new backup power systems with greater diversity.

scholarly journals FORMATION OF THE INFORMATIONAL SUPPORTING FOR MANAGEMENT OF POWER GENERATION AND DELIVERY ON THE COGENERATION POWER PLANT IN THE LIBERALIZED ELECTRICITY MARKET

2021 ◽  
Vol 2021 (2) ◽  
pp. 67-76
Author(s):  
O. Kotsar ◽  
◽  
I. Rasko ◽  
◽  
◽  
...  
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Energy Management ◽  
Power Supply ◽  
Electricity Market ◽  
Power Plants ◽  
Automated System ◽  
Demand Side ◽  
Informational Support ◽  
Successful Solution

The liberalization of the electricity market aims at the most complete repletion of consumer needs for electricity and quality power supply, which requires the adaptive management of an energy using both by demand side and by the electricity producers – power plants. The successful solution of this task provides, in particular, for using the effective methods and reliable means for the formation of the informational support for the tasks of managing the power generation and delivery on the power plants in order to ensure conforming in real time the market power bids to current demand side asks. The article proposes a methodology, describes the implemented tools and analyzes the experience of managing the power generation and delivery on the cogeneration power plant based on the information which formed by the automated system for control, metering and energy management in the conditions of functioning of the liberalized electricity market of Ukraine. References 10, figures 5.

scholarly journals Forecasting Photovoltaic Power Generation Using Satellite Images

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6603
Author(s):  
Dukhwan Yu ◽  
Seowoo Lee ◽  
Sangwon Lee ◽  
Wonik Choi ◽  
Ling Liu
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Power Plants ◽  
Satellite Images ◽  
Cloud Amount ◽  
Weather Forecast ◽  
Percentage Error ◽  
Virtual Power Plants ◽  
Forecast Data ◽  
Pv Power Generation

As the relative importance of renewable energy in electric power systems increases, the prediction of photovoltaic (PV) power generation has become a crucial technology, for improving stability in the operation of next-generation power systems, such as microgrid and virtual power plants (VPP). In order to improve the accuracy of PV power generation forecasting, a fair amount of research has been applied to weather forecast data (to a learning process). Despite these efforts, the problems of forecasting PV power generation remains challenging since existing methods show limited accuracy due to inappropriate cloud amount forecast data, which are strongly correlated with PV power generation. To address this problem, we propose a PV power forecasting model, including a cloud amount forecasting network trained with satellite images. In addition, our proposed model adopts convolutional self-attention to effectively capture historical features, and thus acquire helpful information from weather forecasts. To show the efficacy of the proposed cloud amount forecast network, we conduct extensive experiments on PV power generation forecasting with and without the cloud amount forecast network. The experimental results show that the Mean Absolute Percentage Error (MAPE) of our proposed prediction model, combined with the cloud amount forecast network, are reduced by 22.5% compared to the model without the cloud amount forecast network.

Increasing the Flexibility of Combined Heat and Power Plants With Heat Pumps and Thermal Energy Storage

2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Eike Mollenhauer ◽  
Andreas Christidis ◽  
George Tsatsaronis
Keyword(s):  
Thermal Energy ◽  
Electricity Market ◽  
Power Plants ◽  
Combined Heat And Power ◽  
Heat Pumps ◽  
Optimal Operation ◽  
Mixed Integer ◽  
Steam Turbines ◽  
Mixed Integer Linear Program ◽  
District Heating System

Combined heat and power (CHP) plants are efficient regarding fuel, costs, and emissions compared to the separate generation of heat and electricity. Sinking revenues from sales of electricity due to sinking market prices endanger the economically viable operation of the plants. The integration of heat pumps (HP) and thermal energy storages (TESs) represents an option to increase the flexibility of CHP plants so that electricity can be produced only when the market conditions are favorable. The investigated district heating system is located in Germany, where the electricity market is influenced by a high share of renewable energies. The price-based unit-commitment and dispatch problem is modeled as a mixed integer linear program (MILP) with a temporal resolution of 1 h and a planning horizon of 1 yr. This paper presents the optimal operation of a TES unit and a HP in combination with CHP plants as well as synergies or competitions between them. Coal and gas-fired CHP plants with back pressure or extraction condensing steam turbines (STs) are considered, and their results are compared to each other.

scholarly journals MARKET AND DEVELOPMENT TRENDS IN COGENERATION AND COMBINED HEAT AND POWER PLANTS

2018 ◽  
Vol 20 ◽  
pp. 86-97
Author(s):  
Jan Slad ◽  
Andreas Pickard ◽  
Frank Strobelt
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Power Plants ◽  
Economic Value ◽  
Cost Effective ◽  
Combined Heat And Power ◽  
Development Trends ◽  
Eu Countries ◽  
Increase Energy Efficiency ◽  
The Cost

The transition of energy mix in Europe is placing greater focus on energy efficiency. Lawmakers in some of EU countries have already recognized that combined heat and power generation (cogeneration, CHP) can help increase energy efficiency. Targeted promotion and subsidization have raised the cost-effective profitability of cogeneration plants significantly. But how can the economic value of this investment be maximized?

Evaluation and Optimization of Automated Operation in Small CHP Plants

2000 ◽  
Author(s):  
Jeppe Grue ◽  
Jens Andersen ◽  
Niels From ◽  
Inger Bach
Keyword(s):  
Power Generation ◽  
Objective Function ◽  
Electric Power ◽  
Power Plants ◽  
Electrical Power ◽  
District Heating ◽  
Combined Heat And Power ◽  
Optimal Operating ◽  
Gas Engine ◽  
Operating Strategy

Abstract In Denmark power generation is extensively based on small combined heat and power plants, which produce electric power and district heating. This work will focus on the small plants around 1 MW in size, which are often unmanned and operating completely automatically. The objective of this work is to formulate a method which can be used to determine the optimal operating strategy for a CHP plant, and that this strategy must be fully automated. The contribution margin of the plant is used as the objective function for the optimization. Finally the method is tested on a small CHP plant, which is a gas engine producing 1.34 MW electrical power and 1.6 MJ/s district heating. The methods, which are developed, can be used in general for the evaluation and optimization of automated strategies for the operation of small-unmanned CHP plants. The strong feature of the method is that it sets an ultimate target that is the best possible one to obtain with a view to any strategy. This provides a basis for the evaluation and optimization of the actual strategy.

Stromoptimierte KWK in der Galvanikbranche*/Power-optimized combined heat and power in the electroplating industry - Responding to increasing energy flexibility by residual energy adapted combined heat and power plants

2018 ◽  
Vol 108 (07-08) ◽  
pp. 561-566
Author(s):  
E. Köse ◽  
A. Sauer ◽  
B. Thomas ◽  
T. Müller ◽  
S. Kölle ◽  
...  
Keyword(s):  
Power Generation ◽  
Energy Supply ◽  
Energy Production ◽  
Power Plants ◽  
Power Grid ◽  
Combined Heat And Power ◽  
Residual Energy ◽  
Energy Industry ◽  
Energy Costs ◽  
Huge Impact

Das Thema Energieflexibilität und Anpassung der eigenerzeugten Energie an die Energieerzeugung aus regenerativen Energien gewinnt an Bedeutung. Regulierbare Eigenerzeugungsanlagen können zur Stabilisierung des Netzes einen enormen Beitrag leisten. Der Aufsatz zeigt, welchen Effekt der Einsatz von BHWK auf die Galvanikbranche hat und wie nicht nur die eigenen Energiekosten reduziert, sondern auch die Möglichkeit geschaffen wird, auf Signale der Energiewirtschaft zu reagieren, ohne die Energieversorgung zu unterbrechen. &nbsp; Energy flexibility and adaptation of self-generated energy to energy production from renewable energies is becoming more important. Adjustable distributed power plants can provide a huge impact on stabilizing the power grid. This article displays the effects of combined heat and power generation on the electroplating industry. It demonstrates how to reduce energy costs and also how to find ways to react to signals of the energy industry without interrupting the energy supply.

Analysis of the influence of renewable energy sources on thermal energy generation for isolated power systems

2019 ◽  
pp. 0309524X1987403 ◽  
Author(s):  
Aleksey A Zhidkov ◽  
Andrey A Achitaev ◽  
Mikhail V Kashurnikov
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Power Systems ◽  
Power Supply ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Renewable Power ◽  
Renewable Power Generation ◽  
Autonomous Power Systems

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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