scholarly journals Distributionally Robust Self-Scheduling Optimization with CO2Emissions Constraints under Uncertainty of Prices

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Minru Bai ◽  
Zhupei Yang
Keyword(s):  
Energy Saving ◽  
Thermal Power ◽  
Test System ◽  
Low Carbon ◽  
Scheduling Optimization ◽  
Distribution Form ◽  
Scheduling Model ◽  
Marginal Prices ◽  
Locational Marginal Prices ◽  
Distributionally Robust

As a major energy-saving industry, power industry has implemented energy-saving generation dispatching. Apart from security and economy, low carbon will be the most important target in power dispatch mechanisms. In this paper, considering a power system with many thermal power generators which use different petrochemical fuels (such as coal, petroleum, and natural gas) to produce electricity, respectively, we establish a self-scheduling model based on the forecasted locational marginal prices, particularly taking into accountCO2emission constraint,CO2emission cost, and unit heat value of fuels. Then, we propose a distributionally robust self-scheduling optimization model under uncertainty in both the distribution form and moments of the locational marginal prices, where the knowledge of the prices is solely derived from historical data. We prove that the proposed robust self-scheduling model can be solved to any precision in polynomial time. These arguments are confirmed in a practical example on the IEEE 30 bus test system.

Cascaded Hydro-Thermal Scheduling for Energy-Saving and Emission Reduction

2012 ◽  
Vol 512-515 ◽  
pp. 1102-1105 ◽  
Author(s):  
Xiao Hua Zhang ◽  
Chang Ping Zhu ◽  
Zheng Hua Ma ◽  
Bin Wang ◽  
Jian Feng Zheng
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Energy Saving ◽  
Emission Reduction ◽  
Power Plants ◽  
Thermal Power ◽  
Hydroelectric Power ◽  
Operation Costs ◽  
Scheduling Model ◽  
Cascade Energy

Cascaded hydro-thermal scheduling has many constraints increasing the difficulty of the scheduling. Furthermore, the limited energy storage capability of water reservoirs, along with the stochastic nature of their availability, make its solution a more difficult job. A multi-objective cascaded hydro-thermal scheduling model considering energy saving, emission reduction and cascade energy storage is presented. Every objective function is converted to fuzzy numbers, then it is reformulated into a single objective. Genetic algorithm is used to solve it. The simulation results show that this model increases generation benefits of hydroelectric power plants, reduces operation costs of thermal power plants, advances comprehensive benefits of power systems

Research on energy-saving and emissions reduction efficiency in Chinese thermal power companies

2019 ◽  
Vol 31 (5) ◽  
pp. 903-919
Author(s):  
Yue Xu ◽  
Zebin Wang ◽  
Yung-Ho Chiu ◽  
Fangrong Ren
Keyword(s):  
Energy Saving ◽  
Production Technology ◽  
Thermal Power ◽  
Power Industry ◽  
Primary Sources ◽  
Medium Size ◽  
Emissions Reduction ◽  
Low Carbon ◽  
Performance Loss ◽  
Size Groups

In a low-carbon economic environment, China’s thermal power industry has developed at a rapid speed. Faced with significant development bottlenecks, however, promoting energy conservation and technological innovation has become the current goals of the country’s thermal power industry. Taking into account the heterogeneity of production technology, we utilize panel data of 23 listed thermal power companies in the Shanghai and Shenzhen stock markets from 2010 to 2015 as samples and divide them into large, medium, and small groups according to company size. Based on a meta-frontier function and the non-radial data envelopment analysis method, we evaluate the performance of energy-saving and emissions reduction in the thermal power industry when considering slack variables of energy input and undesirable output. The empirical study’s results show that the mean energy-saving and emissions reduction performance in this power industry is generally low and exhibits significant differences under different frontiers. The performance of energy-saving and emissions reduction from high to low is small, large, and medium-size groups. The small-size group seems to obtain the industry-leading level production technology. Moreover, the technology gap and insufficient management are the primary sources of the total performance loss.

scholarly journals Multiple R&D Projects Scheduling Optimization with Improved Particle Swarm Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mengqi Liu ◽  
Miyuan Shan ◽  
Juan Wu
Keyword(s):  
Project Scheduling ◽  
Simulation Experiment ◽  
Particle Swarm ◽  
Particle Swarm Algorithm ◽  
Scheduling Optimization ◽  
Scheduling Model ◽  
Make To Order ◽  
Swarm Algorithm ◽  
The One ◽  
Fierce Competition

For most enterprises, in order to win the initiative in the fierce competition of market, a key step is to improve their R&D ability to meet the various demands of customers more timely and less costly. This paper discusses the features of multiple R&D environments in large make-to-order enterprises under constrained human resource and budget, and puts forward a multi-project scheduling model during a certain period. Furthermore, we make some improvements to existed particle swarm algorithm and apply the one developed here to the resource-constrained multi-project scheduling model for a simulation experiment. Simultaneously, the feasibility of model and the validity of algorithm are proved in the experiment.

scholarly journals Multiresolution Network Temporal and Spatial Scheduling Model of Scenic Spot

2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Peng Ge ◽  
Zhixue Liao ◽  
Chang Liu ◽  
Peiyu Ren ◽  
Zhaoxia Guo
Keyword(s):  
Real Time ◽  
Distribution System ◽  
Low Carbon ◽  
The Real ◽  
Scheduling Model ◽  
Scenic Spot ◽  
Full Capacity ◽  
Develop Economy ◽  
Temporal And Spatial ◽  
Demand And Capacity

Tourism is one of pillar industries of the world economy. Low-carbon tourism will be the mainstream direction of the scenic spots' development, and theωpath of low-carbon tourism development is to develop economy and protect environment simultaneously. However, as the tourists' quantity is increasing, the loads of scenic spots are out of control. And the instantaneous overload in some spots caused the image phenomenon of full capacity of the whole scenic spot. Therefore, realizing the real-time schedule becomes the primary purpose of scenic spot’s management. This paper divides the tourism distribution system into several logically related subsystems and constructs a temporal and spatial multiresolution network scheduling model according to the regularity of scenic spots’ overload phenomenon in time and space. It also defines dynamic distribution probability and equivalent dynamic demand to realize the real-time prediction. We define gravitational function between fields and takes it as the utility of schedule, after resolving the transportation model of each resolution, it achieves hierarchical balance between demand and capacity of the system. The last part of the paper analyzes the time complexity of constructing a multiresolution distribution system.

Scheduling Scheme Based on Smart Grid of Energy-Saving

2013 ◽  
Vol 340 ◽  
pp. 908-912
Author(s):  
Ke Zhang
Keyword(s):  
Smart Grid ◽  
Energy Saving ◽  
Energy Efficient ◽  
Power Industry ◽  
Ideal Solution ◽  
Scheduling Scheme ◽  
Electricity System ◽  
Scheduling Model ◽  
The Future ◽  
Energy Efficient Scheduling

The smart grid is an ideal solution of the future electricity system, and scheduling aspects of the smart grid, the nerve center of the most intelligent can best embody the intelligent characteristic, this article summarizes the development of smart grid technologies, energy-saving scheduling, and the smart grid ofsignificance analysis to explore the implementation of energy-saving dispatch to the power industry, an energy efficient scheduling model and highlight the superiority of the energy-saving scheduling in order to ensure the smooth implementation of energy-saving scheduling.

Sign in / Sign up

Export Citation Format

Share Document