Optimized Load Distributed of Power Plant Units Based on Branch and Bound Method

2012 ◽  
Vol 239-240 ◽  
pp. 1565-1569
Author(s):  
Li Xiao Zhang ◽  
Wen Tan ◽  
Xiao Bin Huang
Keyword(s):  
Branch And Bound ◽  
Load Distribution ◽  
Power Plants ◽  
Thermal Power ◽  
Computational Simulation ◽  
Optimal Solution ◽  
Branch And Bound Method ◽  
Unit Load ◽  
Coal Consumption ◽  
Optimal Load

Power consumption is increasing significantly with the rapid economic development. In order to improve the competitiveness of thermal power plants, the problem of units' optimal load dispatch becomes a hot topic of the research about reducing coal consumption. The branch and bound method is presented to solve the problem based on a load dispatch model with velocity constraint in this paper. Branch can create the conditions for the optimal solution of unit load distribution, bound can improve the search efficiency of the optimal solution [1]. Through the computational Simulation, it proves the method described in the paper has the higher convergence speed and can be better applied to the problem of units' optimal load dispatch.

Multi-Objective Optimal Load Distribution Based on Sub Goals Multiplication and Division in Power Plants

2014 ◽  
Vol 494-495 ◽  
pp. 1715-1718
Author(s):  
Gui Li Yuan ◽  
Tong Yu ◽  
Juan Du
Keyword(s):  
Genetic Algorithm ◽  
Load Distribution ◽  
Power Plants ◽  
Optimization Problem ◽  
Thermal Power ◽  
Local Optimum ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Optimal Load ◽  
Optimal Load Distribution

The classic multi-objective optimization method of sub goals multiplication and division theory is applied to solve optimal load distribution problem in thermal power plants. A multi-objective optimization model is built which comprehensively reflects the economy, environmental protection and speediness. The proposed model effectively avoids the target normalization and weights determination existing in the process of changing the multi-objective optimization problem into a single objective optimization problem. Since genetic algorithm (GA) has the drawback of falling into local optimum, adaptive immune vaccines algorithm (AIVA) is applied to optimize the constructed model and the results are compared with that optimized by genetic algorithm. Simulation shows this method can complete multi-objective optimal load distribution quickly and efficiently.

The Research and Comparison of some Methods which were Used to Account how to Distribute the Load in the same Plate

2013 ◽  
Vol 401-403 ◽  
pp. 2319-2322
Author(s):  
Xing Liu
Keyword(s):  
Genetic Algorithms ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Load Distribution ◽  
Thermal Power ◽  
Unit Load ◽  
Coal Consumption ◽  
Swarm Optimization ◽  
Incremental Method ◽  
Nonlinear Programming Method

This paper discussed the advantages of genetic algorithm in the load distribution of the thermal power plant, and several other commonly used algorithms: equal incremental method, nonlinear programming method, particle swarm optimization for comparison and analysis. Compared with other methods, the results of use the genetic algorithms to calculate the load distribution between the thermal power plant units were both simple and accurate. So use the genetic algorithms to calculate the load distribution could optimizing the allocation of unit load, reduce coal consumption, improve the efficiency of the unit, responded to the call of the national energy saving.

The Plant-Level Optimal Load Distribution Based on Economy and Environmental Protection

2014 ◽  
Vol 521 ◽  
pp. 490-493 ◽  
Author(s):  
Li Jun Qin ◽  
Jia Di Li
Keyword(s):  
Objective Function ◽  
Electricity Market ◽  
Load Distribution ◽  
Power Plants ◽  
Environment Protection ◽  
Coal Consumption ◽  
Optimal Load ◽  
Mode Of Operation ◽  
Plant Level ◽  
Optimal Load Distribution

In order to meet new mode of operation in current Chinese electricity market, the paper puts forward the multi-objective optimization for plant-level load distribution based on economy and environment protection. It can balance the benefits between power plants and grids. While it can minimize coal consumption, reduce the emission of pollutants and make important effects on economy and environment. This paper proposes to calculate the sum cost of coal and sewage as the new model of objective function. Through the different weights on economy and environment, plants change the assigned load so as to make the objective function minimum and achieve the optimal load distribution. At the last we can get a optimal curve by simulation.

scholarly journals Modeling the Heat Scheme of the Combined Heat and Power Plants Using the Software Product “Boiler Designer”

2021 ◽  
pp. 130-139
Author(s):  
Konstantin A. Shtym ◽  
Yuriy B. Goncharenko ◽  
Tatyana A. Soloveva ◽  
Dmitriy R. Bibikov ◽  
Pavel V. Vasilyev
Keyword(s):  
Mathematical Model ◽  
Load Distribution ◽  
Power Plants ◽  
Thermal Power ◽  
Universal Method ◽  
Advantages And Disadvantages ◽  
Optimal Load ◽  
Software Product ◽  
Boiler Designer ◽  
Thermal Scheme

This article describes the rationale for the development of a mathematical model of the thermal scheme of Vladivostok thermal power plant. Four types of turbines are installed at this plant, boiler units operate on coal and natural gas. This makes it difficult to effective load distribution between the turbine units. Application of simplified dependencies, built on the basis of the reporting data, allows to analyse the correctness of the load distribution between the units. The article provides an example of comparing the actual parameters of the plant and calculating based on the simplified characteristics of turbines. This example showing the loss of fuel equivalent from non-optimal load distribution. However, the use of such simplified characteristics has several shortcomings. These shortcomings do not allow using this as a universal method. There is a need to create a full-fledged mathematical model of thermal power plants. The model is developing on the basis of the Boiler Designer software package. The program has a modular structure and allows you to create mathematical models of each unit of equipment, and then, through the purpose of connections, assemble the thermal scheme of the station. This approach is actual for cross-linked heat and power plants, since it allows us to evaluate the efficiency of thermal scheme connections, and not just the operation of the equipment itself. The article provides a simplified model of the station, its advantages and disadvantages

scholarly journals Trend and characteristics of atmospheric emissions of Hg, As, and Se from coal combustion in China, 1980–2007

2010 ◽  
Vol 10 (9) ◽  
pp. 20729-20768 ◽  
Author(s):  
H. Z. Tian ◽  
Y. Wang ◽  
Z. G. Xue ◽  
K. Cheng ◽  
Y. P. Qu ◽  
...  
Keyword(s):  
Trace Elements ◽  
Coal Combustion ◽  
Power Plants ◽  
Thermal Power ◽  
Industrial Sector ◽  
Air Pollution Control ◽  
Atmospheric Emissions ◽  
Economic Sectors ◽  
Coal Consumption ◽  
Hazardous Trace Elements

Abstract. Emissions of hazardous trace elements in China are of great concern because of their negative impacts on local air quality as well as on regional environmental health and ecosystem risks. In this paper, the atmospheric emissions of mercury (Hg), arsenic (As), and selenium (Se) from coal combustion in China for the period 1980–2007 are estimated on the basis of coal consumption data and emission factors, which are specified by different categories of combustion facilities, coal types, and the equipped air pollution control devices configuration (Dust collectors, FGD, etc.). Specifically, multi-year emission inventories of Hg, As, and Se from 30 provinces and 4 economic sectors (thermal power, industry, residential use, and others) are evaluated and analyzed in detail. Furthermore, the gridded distribution of provincial-based Hg, As, and Se emissions in 2005 at a resolution of 1°×1° is also plotted. It shows that the calculated national total atmospheric emissions of Hg, As, and Se from coal combustion have rapidly increased from 73.59 t, 635.57 t, and 639.69 t in 1980 to 305.95 t, 2205.50 t, and 2352.97 t in 2007, at an annually averaged growth rate of 5.4%, 4.7%, and 4.9%, respectively. The industrial sector is the largest source for Hg, As, and Se, accounting for about 50.8%, 61.2%, and 56.2% of the national totals, respectively. The share of power plants is 43.3% for mercury, 24.9% for arsenic, and 33.4% for selenium, respectively. Also, it shows remarkably different regional contribution characteristics of these 3 types of trace elements, the top 5 provinces with the heaviest mercury emissions in 2007 are Shandong (34.40 t), Henan (33.63 t), Shanxi (21.14 t), Guizhou (19.48 t), and Hebei (19.35 t); the top 5 provinces with the heaviest arsenic emissions in 2007 are Shandong (219.24 t), Hunan (213.20 t), Jilin (141.21 t), Hebei (138.54 t), and Inner Mongolia (127.49 t); while the top 5 provinces with the heaviest selenium emissions in 2007 are Shandong (289.11 t), Henan (241.45 t), Jiangsu (175.44 t), Anhui (168.89 t), and Hubei (163.96 t). Between 2000 and 2007, provinces always rank at the top five largest Hg, As, and Se emission sources are: Shandong, Hebei, Shanxi, Henan, and Jiangsu, most of which are located in the east and are traditional industry-based or economically energy intensive areas in China. Notably, Hg, As, and Se emissions from coal combustion in China begin to grow at a more moderate pace since 2005. Emissions from coal-fired power plants sector began to decrease though the coal use had been increasing steadily, which can be mainly attributed to the more and more installation of WFGD in power plants, thus the further research and control orientations of importance for these hazardous trace elements should be the industrial sector.

scholarly journals A Multi-Objective Scheduling Optimization Model for a Multi-Energy Complementary System Considering Different Operation Strategies

2018 ◽  
Vol 8 (11) ◽  
pp. 2293 ◽  
Author(s):  
Liwei Ju ◽  
Peng Li ◽  
Qinliang Tan ◽  
Lili Wang ◽  
Zhongfu Tan ◽  
...  
Keyword(s):  
Power Plants ◽  
Thermal Power ◽  
Clean Energy ◽  
Life Cycles ◽  
Solution Algorithm ◽  
Coal Consumption ◽  
Power Sources ◽  
Multi Objective ◽  
Complementary System ◽  
Objective Model

In order to reduce the amount of abandoned clean energy, the complementary characterization of wind power plants (WPPs), photovoltaic power plants (PVs), hydropower stations (HSs), and thermal power plants (TPPs) combined with energy storage devices (ESDs) is considered, and they are integrated into a multi-energy complementary system (MECS). Firstly, a scenario-generating technique is proposed for uncertainty factors using the Wasserstein method and the improved K-medoids theory. Then, a multi-objective model and solution algorithm are constructed under the objectives of attaining the maximum operation revenue, the minimum abandoned energy cost, and the minimum output fluctuations. Meanwhile, the influence of different ESD operation modes on MECS operation is discussed, specifically, the longest life cycle (LLC) and the optimum economic efficiency (OEE). Thirdly, in order to solve the multi-objective model, a solution algorithm is proposed by using the rough set method to convert the multi-objective model into a single objective model based on the payoff table. Moreover, the complementary features of the MECS are evaluated in terms of the load tracking degree, HS secondary peaking capacity, and units of coal consumption. Finally, the improved IEEE 14-bus system is chosen for the simulation analysis. The results show that (1) the proposed uncertainty simulation method can efficiently generate the most representative scenarios; (2) MECSs can utilize complementary power sources, the OEE mode can better optimize MECS scheduling, and the LLC mode can ensure the ESDs’ life cycles; (3) the scheduling scheme of MECS operation reach the optimal level when the capacity ratio of ESD:WPP–PV iso [0.62, 0.77] in the OEE mode and [1, 1.08] in the LLC mode on a typical summer day, and the ratio is [0.92, 1] in the OEE mode and [1.23, 1.31] in the LLC mode on a typical winter day. Therefore, the proposed model provides effective decision-making support for designing the optimal plan for MECS operation.

scholarly journals Chinese National Condition Based Power Dispatching Optimization in Microgrids

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Gang Chen ◽  
Jian-Ming Wang ◽  
Xiao-Dong Yuan ◽  
Liang Chen ◽  
Lu-Jia Zhao ◽  
...  
Keyword(s):  
Normal Condition ◽  
Power Plants ◽  
Thermal Power ◽  
Weather Condition ◽  
Weather Conditions ◽  
Pso Algorithm ◽  
Coal Consumption ◽  
New Energy ◽  
Weighted Factor ◽  
Power Dispatching

This paper proposed a study on the power dispatching optimization in the microgrid aiming at Chinese national condition based on PSO algorithm. The whole work is on the basis of the weighted factor variation of the objective function due to different weather conditions. Three cases including the good contamination-diffusing weather condition, the smog weather condition, and the normal condition are considered, respectively. In the case of smog weather, the new energy generation and the battery system will be all out to use as less power as possible from the primary grid so that the pollution produced by coal consumption in the thermal power plants can be upmost reduced. However, in the case of perfect contamination-diffusing weather, the battery is not used to reserve its lifetime, while a large amount of exchanged power from the primary grid is used to obtain a most economic-efficient effect. In normal condition, the power dispatching is performed in a most balanced way considering not only the cost but also the environmental management. The case study in Suzhou Industrial Part confirms the effectiveness of the proposed method in this paper.

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