scholarly journals AGC of a multi sources power system with natural choice of power plants

2019 ◽  
Vol 7 (1) ◽  
pp. 105-128 ◽  
Author(s):  
Jitendra Kumar Garg ◽  
Anita Khosla ◽  
Nizamuddin Hakimuddin
Keyword(s):  
Control Theory ◽  
Power System ◽  
Case Studies ◽  
Power Plants ◽  
Closed Loop ◽  
Dynamic Performance ◽  
Thermal Power ◽  
Stability Margin ◽  
Thermal Power Plants ◽  
Natural Choice

This paper presents an application of optimal control theory in multi sources power system by considering natural choice of power plants participating in automatic generation control (AGC) scheme. However, for successful operation of large power system, the natural choices of generation suitable for AGC system are hydro and thermal power plants since gas and nuclear power plants are rarely participates in the AGC scheme. Therefore, this work presents design and implementation of proportional integral (PI) structured optimal AGC controller in the presence of hydro and thermal power plants by using state vector feedback control theory. Moreover, various case studies are identified to obtain: (i) Cost aspects of physical realization of optimal AGC controller, (ii) Closed loop system stability margin through patterns of eigenvalues and (iii) System dynamic performance. Further, results have shown that when optimal AGC scheme is implemented in power system, the dynamic performance of power system is outstanding over those obtained with genetic algorithms (GAs) tuned PI structured AGC controller. Besides, with optimal AGC controller, cheaper cost of control structure, increased in system closed loop stability margin and outstanding dynamic performance of power system have been found when lessening in hydro generation is replaced by generation from thermal power plants for various case studies under investigation.

scholarly journals STATE AND PROSPECTS OF THERMAL POWER GENERATION IN THE CONDITIONS OF UKRAINE’S COURSE ON CARBON-FREE ENERGY

2021 ◽  
pp. 4-16
Author(s):  
M.V. Cherniavskyi
Keyword(s):  
Power Generation ◽  
Free Energy ◽  
Power System ◽  
Fuel Consumption ◽  
Power Plants ◽  
Thermal Power ◽  
Specific Fuel Consumption ◽  
Regulatory Function ◽  
Thermal Power Plants ◽  
Thermal Power Generation

The structure of electricity cost formation for consumers, including depending on the cost of TPP generation, «green» energy and other sources, is investigated, and the main conditions of the efficient regulatory function fulfillment in the power system by thermal power generation in the conditions of Ukraine's course on carbon-free energy are formulated. It is shown that excessive electricity losses in networks and, especially, accelerated increase of the share of «green» generation, much more expensive than nuclear, hydro and thermal, mainly contribute to the growth of electricity costs for non-household consumers and the need to raise tariffs for the population. This accelerated increase directly contradicts the Paris Climate Agreement, according to which plans to reduce Ukraine’s greenhouse gas emissions must be developed taking into account available energy resources and without harming its own economy. The dependences of the specific fuel consumption on the average load and the frequency of start-stops of units are found and it is shown that the increased specific fuel consumption on coal TPPs is an inevitable payment for their use as regulating capacities of UES of Ukraine. In this case, the higher the proportion of «green» generation and a smaller proportion of generating thermal power plants, especially increasing specific fuel consumption. It is proved that in the conditions of growth of the share of «green» generation in Ukraine the share of production of pulverized coal thermal power plants should be kept at the level of not less than 30 % of the total electricity generation. It is substantiated that a necessary condition for coal generation to perform a proper regulatory role in the power system is to introduce both environmental and technical measures, namely — reducing the suction of cold air to the furnace and other boiler elements, restoring condensers and cooling systems, etc. An important factor in reducing the average level of specific fuel consumption is also the reduction of coal burn-out at thermal power plants, where it still remains significant, due to the transfer of power units to the combustion of bituminous coal concentrate. Bibl. 12, Fig. 5, Tab. 5.

scholarly journals Short–Term Planning of Hybrid Power System

2016 ◽  
Vol 67 (4) ◽  
pp. 234-245 ◽  
Author(s):  
Goran Knežević ◽  
Zoran Baus ◽  
Srete Nikolovski
Keyword(s):  
Power System ◽  
Power Plants ◽  
Thermal Power ◽  
Optimization Process ◽  
Thermal Power Plants ◽  
Short Term ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Hydropower Plants ◽  
Pumped Storage

Abstract In this paper short-term planning algorithm for hybrid power system consist of different types of cascade hydropower plants (run-of-the river, pumped storage, conventional), thermal power plants (coal-fired power plants, combined cycle gas-fired power plants) and wind farms is presented. The optimization process provides a joint bid of the hybrid system, and thus making the operation schedule of hydro and thermal power plants, the operation condition of pumped-storage hydropower plants with the aim of maximizing profits on day ahead market, according to expected hourly electricity prices, the expected local water inflow in certain hydropower plants, and the expected production of electrical energy from the wind farm, taking into account previously contracted bilateral agreement for electricity generation. Optimization process is formulated as hourly-discretized mixed integer linear optimization problem. Optimization model is applied on the case study in order to show general features of the developed model.

scholarly journals Taking into account the constraints in power system mode optimization by genetic algorithms

2021 ◽  
Vol 264 ◽  
pp. 04045
Author(s):  
Tulkin Gayibov ◽  
Behzod Pulatov
Keyword(s):  
Genetic Algorithms ◽  
Power System ◽  
Power Plants ◽  
Thermal Power ◽  
Thermal Power Plants ◽  
Functional Constraints ◽  
The Past ◽  
Powerful Approach ◽  
System Mode ◽  
The Given

Over the past decades, many publications on the use of genetic algorithms, which offer a new and powerful approach for solving the problem of power system mode optimization, have appeared. Despite this, the issues of effectively taking into account various constraints when solving such problems with genetic algorithms remain opened. In this regard, this article proposes an algorithm for optimizing power system modes by genetic algorithm, taking into account functional constraints in the form of equalities and inequalities by various penalty functions. The results of effectiveness research of the given algorithm in the example of optimization of 8-nodal power system with four thermal power plants and three lines with controlled power flows are presented.

scholarly journals The Challenges and Opportunities of Renewable Energy Source (RES) Penetration in Indonesia: Case Study of Java-Bali Power System

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5903 ◽  
Author(s):  
Handrea Bernando Tambunan ◽  
Dzikri Firmansyah Hakam ◽  
Iswan Prahastono ◽  
Anita Pharmatrisanti ◽  
Andreas Putro Purnomoadi ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Systems ◽  
Power System ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Thermal Power ◽  
Peak Load ◽  
Rate Capability ◽  
Thermal Power Plants ◽  
Pv Penetration

Nowadays, the integration of renewable energy sources, especially grid-connected photovoltaic, into electrical power systems, is increasing dramatically. There are several stimulants especially in the Java-Bali power system, including huge solar potential, a national renewable energy (RE) target, regulation support for prosumers, photovoltaic technology development, and multi-year power system planning. However, significant annual photovoltaic penetration can lead to critical issues, including a drop of netload during the day, ramping capability, and minimal load operation for thermal power plants. This study analyses the duck curve phenomenon in the Java-Bali power system that considers high shares of the baseload power plant and specific scenarios in photovoltaic (PV) penetration and electricity demand growth. This study also analyses future netload, need for fast ramping rate capability, and oversupply issues in the Java-Bali power system. The results showed that the duck curve phenomenon appears with a significant netload drop in the middle of the day because of high power generation from grid-connected PV. Furthermore, the need for fast ramp rate capability is critical for a higher peak load combined with the lowest netload valley. Moreover, the significant load growth with high grid-connected PV penetration level caused unit commitment issues for thermal power plants as baseload operators.

scholarly journals Evaluating the Economic Effects of Emissions Reduction in the Power System of Region: The Russian Far East Experience

2020 ◽  
Vol 7 (2) ◽  
pp. 5-23
Author(s):  
Natalia Dzhurka ◽  
◽  
Olga Dyomina ◽  
◽  
Keyword(s):  
Power System ◽  
Power Plants ◽  
Thermal Power ◽  
Russian Far East ◽  
Far East ◽  
Economic Effects ◽  
Emissions Reduction ◽  
Thermal Power Plants ◽  
Model Complex ◽  
The Russian Far East

The article presents model complex for assessing the economic consequences of reducing greenhouse gas emissions in the power system of region. The trajectories of emissions and macroeconomic indicators for the Russian Far East are estimated in the context of maintaining the current parameters of the power system efficiency and in the context of power system transformation (modernization of thermal power plants, transition of thermal power plants from coal to gas with the development of gas processing industry). The results of calculations confirm that an emissions reduction is a secondary effect for selected transformations of the region’s power system

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