Nash Equilibrium Strategies in Day-Ahead Electricity Markets: Optimum Management of Hydro-Thermal Systems

2004 ◽  
Author(s):  
Cristian Carraretto ◽  
Andrea Zigante
Keyword(s):  
Nash Equilibrium ◽  
Electricity Markets ◽  
Power Plants ◽  
Large Scale ◽  
Thermal Power ◽  
Water Storage ◽  
Market Model ◽  
Hydro Power ◽  
Hydro Power Plants ◽  
Nash Equilibrium Strategies

Robust optimization procedures for power plants production planning are the keypoint to profitably compete in the electricity deregulated market. The authors recently presented a market model useful to optimize the management of a group of thermal power plants belonging to a competitive producer. This model determines the Nash equilibrium among a set of competitors. In this paper, this model is extended to manage groups of thermal and hydro power plants together. Hydro plants part-load operation and technical constraints (feasible working range, feasible water storage range, water storage variation in time as a function of natural and artificial inflows, etc.) are thoroughly included in the market model. The model is applied to a large-scale power system for different market conditions and typical days of the year. Various combinations of power plants and number of producers are investigated. In particular, their effect on power plants management, market equilibrium and prices are discussed.

ESTIMATION OF REDUCTION OF NITROGEN OXIDES IN COMBINED STEAM AND GAS POWER PLANTS

2018 ◽  
pp. 226-236
Author(s):  
M. P. Kulyk
Keyword(s):  
Power Plant ◽  
Power System ◽  
Power Plants ◽  
Membrane Separation ◽  
Thermal Power ◽  
Gas Generation ◽  
Hydro Power ◽  
Atmospheric Air ◽  
Power Change ◽  
Hydro Power Plants

The characteristic of the united power system of Ukraine, based on thermal, nuclear and hydro power plants, as well as on alternative and renewable sources, is carried out. The structure of power system potential indicates a lack of maneuver capacity, some plants are of low mobility. Thermal power is in critical condition due to expired service time of the main technological equipment, additionally, it is a huge source of emissions of harmful substances into the environment. An attempt to use them to cover peak loads only worsens their critical state.It is suggested to restore thermal power on the basis of combined steam and gas power plants. Moreover, for operation of gas section it is necessary to use working substance, which is formed in an additional furnace by heating the compressed air with heat from combustion of some part of coal flow, which subsequently enters the main furnace. The steam and gas generation branches are parallel connected, which extends the range of power change (increasing its maneuverability.) Gas generation increases mobility (rate of power change). For combustion of organic fuel, oxygen enriched atmospheric air is fed, and a nitrogen-based fraction can form a working substance for gas generation. With such an organization of combustion the coefficient of excess air can be ignored, which enables to reduce the volume of flue gases. The membrane separation of atmospheric air into fractions - one en-riched with oxygen, and another with nitrogen, improves the environmentalperformance of a power plant, while increasing its power and economic indices. On the example of the boiler unit TP-92 the basic parameters of a power plant are checked by a calculation method. It is confirmed that the proposed technical solutions point to the correctness and validity of the assumptions. Analysis of the existing technical level of scientific research increases confidence in perspective of the selected direction.

scholarly journals Modeling of Long-term Operating Regimes of Hydro Power Plants as Part of Energy and Water Systems in the Context of Uncertainty

2020 ◽  
Vol 209 ◽  
pp. 05014
Author(s):  
Viacheslav Nikitin ◽  
Nikolay Abasov ◽  
Evgeny Osipchuk
Keyword(s):  
Water Management ◽  
Power Plants ◽  
Thermal Power ◽  
Energy System ◽  
Water Systems ◽  
Management Systems ◽  
Winter Period ◽  
Hydro Power ◽  
Hydro Power Plants ◽  
Operating Regimes

Energy and water management systems are closely interrelated through the operating regimes of Hydro Power Plants (HPP) or HPP cascades. This is first of all, characteristic of energy systems with a large share of HPP. One of such systems is the energy system of Siberia, which includes the Angara-Yenisei cascade of HPP, the largest in Russia and one of the largest in the world. The studies were carried out on the example of this energy system and the water management system of the Angara and Yenisei basins. A specific feature of the energy and water management systems of Siberia is a significant impact of stochastic factors on their operation. These factors include natural (water inflow in the reservoirs in the spring-summer period and outdoor temperature in the autumn-winter period), and also economic (demand for electric and thermal energy, electricity and heat prices) factors. The paper presents mathematical models for the joint study of energy and water systems. These models factor in the specifics of the systems during planning for a period of up to 1 year. Modeling of the interconnected operation of energy and water systems makes it possible to solve important problems. These are the improvement in the reliability and stability of the considered systems, increase in their economic efficiency (minimization of electricity prices for consumers), assessment and minimization of various risks, prevention from or reduction in possible damages, rational planning of repairs, the formation of fuel reserves at thermal power plants, and others.

scholarly journals Multistage Stochastic Programming for VPP Trading in Continuous Intraday Electricity Markets

2021 ◽  
Author(s):  
Priyanka Shinde ◽  
Iasonas Kouveliotis-Lysikatos ◽  
Mikael Amelin
Keyword(s):  
Stochastic Programming ◽  
Electricity Markets ◽  
Electricity Market ◽  
Power Plants ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Programming Approach ◽  
Multistage Stochastic Programming ◽  
Hydro Power ◽  
Dual Dynamic Programming

<div>The stochastic nature of renewable energy sources has increased the need for intraday trading in electricity markets. Intraday markets provide the possibility to the market participants to modify their market positions based on their updated forecasts. In this paper, we propose a multistage stochastic programming approach to model the trading of a Virtual Power Plant (VPP), comprising thermal, wind and hydro power plants, in the Continuous Intraday (CID) electricity market. The order clearing in the CID market is enabled by the two presented models, namely the Immediate Order Clearing (IOC) and the Partial Order Clearing (POC). We tackle the proposed problem with a modified version of Stochastic Dual Dynamic Programming (SDDP) algorithm. The functionality of our model is demonstrated by performing illustrative and large scale case studies and comparing the performance with a benchmark model.</div>

scholarly journals EFFECTS OF WIND FARM OPERATING REGIMES IN THE POWER SYSTEM OF MACEDONIA

2017 ◽  
Vol 32 (1-2) ◽  
Author(s):  
Anton Čauševski ◽  
Tome Boševski
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Wind Power ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Operating Mode ◽  
Hydro Power ◽  
Wind Power Plants ◽  
Hydro Power Plants

A b s t r a c t: The trend for achieving sustainable energy development, keeping the environment clean and utilization of renewable energy sources are imperative to the energy development in several countries. Through legislation and economical benefits, countries tend to encourage potential investors for building the technologies for energy production from renewable. In order to achieve the EU energy target to have 20% renewable in 2020, the technologies for producing electricity from renewable energy sources (RES) are used to cover the needs with more intensities. The most dominant renewable is the wind power plants(WPP) or wind parks, which are used to supply electricity to more power systems (EPS) and whose installed capacity in some European countries reaches thousands MW. This paper treats the issue of operational work of wind power in the power system of Macedonia. It is made of simulation work with wind power plants with total installed capacity of 150 MW with an annual production of 300 GWh. The considered power system of Macedonia is projected for the period of 2015 with an annual consumption of 10,000 GWh. The power plants considering operating in the simulated period are the existing thermal power units and hydro power plants together with the planned gas power plants and hydro power plants. The aim of this paper is to analyze the effects of the power system operation in case to have installed wind power plants, or what operation mode of thermal power plants (TPP) and hydro power plants (HPP) is most convenient when the system has a source of technology from the renewable with stochastically nature. This is especially important, because conventional power plants (TPP and HPP) operate and regulate the needs of consumption in the power system, but the wind power plants operate when the wind occurs within certain limits of  technical operating mode for wind turbines. Although wind is free renewable energy source, frequency of occurrence of wind with unpredictable nature and stochastically, has additional adverse impact in terms of power system operating mode. Certainly the impact of wind power on the overall the power system operation depends on power plants and configuration of the power system. In other words, the base load is covered from TPP fossil fuel or nuclear plants, and the dynamic nature of wind power can be incorporated in the power system depends on how much power plants for peak load are available in the system (storage reversible hydro or gas turbines), or how variable power can be accepted in the power system.

scholarly journals Multistage Stochastic Programming for VPP Trading in Continuous Intraday Electricity Markets

2021 ◽  
Author(s):  
Priyanka Shinde ◽  
Iasonas Kouveliotis-Lysikatos ◽  
Mikael Amelin
Keyword(s):  
Stochastic Programming ◽  
Electricity Markets ◽  
Electricity Market ◽  
Power Plants ◽  
Large Scale ◽  
Renewable Energy Sources ◽  
Programming Approach ◽  
Multistage Stochastic Programming ◽  
Hydro Power ◽  
Dual Dynamic Programming

<div>The stochastic nature of renewable energy sources has increased the need for intraday trading in electricity markets. Intraday markets provide the possibility to the market participants to modify their market positions based on their updated forecasts. In this paper, we propose a multistage stochastic programming approach to model the trading of a Virtual Power Plant (VPP), comprising thermal, wind and hydro power plants, in the Continuous Intraday (CID) electricity market. The order clearing in the CID market is enabled by the two presented models, namely the Immediate Order Clearing (IOC) and the Partial Order Clearing (POC). We tackle the proposed problem with a modified version of Stochastic Dual Dynamic Programming (SDDP) algorithm. The functionality of our model is demonstrated by performing illustrative and large scale case studies and comparing the performance with a benchmark model.</div>

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