Distributed Extremum Seeking for Constrained Networked Optimization and Its Application to Energy Consumption Control in Smart Grid

2016 ◽  
Vol 24 (6) ◽  
pp. 2048-2058 ◽  
Author(s):  
Maojiao Ye ◽  
Guoqiang Hu
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Extremum Seeking ◽  
Consumption Control

Non-cooperative differential game based energy consumption control for dynamic demand response in smart grid

2019 ◽  
Vol 16 (8) ◽  
pp. 107-114 ◽  
Author(s):  
Manxi Wang ◽  
Haitao Xu ◽  
Shengsong Yang ◽  
Lifeng Yang ◽  
Ruifeng Duan ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Differential Game ◽  
Demand Response ◽  
Dynamic Demand ◽  
Consumption Control ◽  
Cooperative Differential Game

scholarly journals How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method

2021 ◽  
Vol 13 (3) ◽  
pp. 1093
Author(s):  
Yunlong Zhao ◽  
Geng Kong ◽  
Chin Hao Chong ◽  
Linwei Ma ◽  
Zheng Li ◽  
...  
Keyword(s):  
Energy Consumption ◽  
High Resolution ◽  
Energy Policy ◽  
Policy Making ◽  
Regional Analysis ◽  
Policy Implications ◽  
Consumption Growth ◽  
High Resolution Analysis ◽  
Resolution Analysis ◽  
Consumption Control

Controlling energy consumption to reduce greenhouse gas emissions has become a global consensus in response to the challenge of climate change. Most studies have focused on energy consumption control in a single region; however, high-resolution analysis of energy consumption and personalized energy policy-making, for multiple regions with differentiated development, have become a complicated challenge. Using the logarithmic mean Divisia index I (LMDI) decomposition method based on energy allocation analysis (EAA), this paper aims to establish a standard paradigm for a high-resolution analysis of multi-regional energy consumption and provide suggestions for energy policy-making, taking 29 provinces of China as the sample. The process involved three steps: (1) determination of regional priorities of energy consumption control by EAA, (2) revealing regional disparity among the driving forces of energy consumption growth by LMDI, and (3) deriving policy implications by comparing the obtained results with existing policies. The results indicated that 29 provinces can be divided into four groups, with different priorities of energy consumption control according to the patterns of coal flows. Most provinces have increasing levels of energy consumption, driven by increasing per capita GDP and improving living standards, while its growth is restrained by decreasing end-use energy intensity, improving energy supply efficiency, and optimization of industrial structures. However, some provinces are not following these trends to the same degree. This indicates that policy-makers must pay more attention to the different driving mechanisms of energy consumption growth among provinces.

scholarly journals Cooperative Coverage Based Lifetime Prolongation for Microgrid Monitoring WSN in Smart Grid

2020 ◽  
Author(s):  
Sujie Shao ◽  
Lei Wu ◽  
Qinghang Zhang ◽  
Neng Zhang ◽  
Kaixuan Wang
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Ant Colony Optimization Algorithm ◽  
Comprehensive Information ◽  
Effective Operation ◽  
Different Types ◽  
Energy Consumption Balancing ◽  
Monitoring Area

Abstract To take full advantage of the flexibility of access and disconnection from smart grid, organizing distributed renewable energy resources in form of microgrid becomes one solution of energy replenishment in smart grid. A large amount of accurate and comprehensive information data are needed to be monitored by a variety of different types of sensors to guarantee the effective operation of this kind of microgrid. Energy consumption of microgrid monitoring WSN consequently becomes an issue. This paper presents a novel lifetime prolongation algorithm based on cooperative coverage of different types of sensors. Firstly, according to the requirements of monitoring business, the construction of cooperative coverage sets and connected monitoring WSN are discussed. Secondly, energy consumption is analyzed based on cooperative coverage. Finally, the cooperative coverage based lifetime prolongation algorithm (CC-LP) is proposed. Both the energy consumption balancing inside the cooperative coverage set and the switching scheduling between cooperative coverage sets are discussed. Then we draw into an improved ant colony optimization algorithm to calculate the switching scheduling. Simulation results show that this novel algorithm can effectively prolong the lifetime of monitoring WSN, especially in the monitoring area with a large deployed density of different types of sensors.

Optimization of Energy in Smart Farms Using a Genetic Algorithm

2022 ◽  
pp. 180-190
Author(s):  
Brahim Lejdel
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Smart Grid ◽  
Electrical Energy ◽  
Optimization Methods ◽  
Integrated Model ◽  
Energy Market ◽  
Great Demand ◽  
Agricultural Machines

The need for energy in the agriculture field is increasing as a result of increasing the productivity of these fields. The appearance of smart grid and IoT (internet of objects) enabled farmers to control, manage, and optimize the energy consumption. Agriculture will continue to rely on energy to increase its productivity in line with increasing population and great demand. In this chapter, the authors present an integrated model between SmartFarms, the smart-grid, and optimization methods. In this way, smart forms can participate actively and benefit from the energy market. In this chapter, they consider the electrical energy that is directly used in activities ranging from field processes such as irrigation of land. Energy is also indirectly consumed in synthetic additives notably fertilizers, pesticides, and herbicides. In addition, the authors can consider the electrical energy, which is used for powering some agricultural machines.

scholarly journals Regional Disparities and Transformation of Energy Consumption in China Based on a Hybrid Input-Output Analysis

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5287
Author(s):  
Yuehui Xia ◽  
Ting Zhang ◽  
Miaomiao Yu ◽  
Lingying Pan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Rapid Development ◽  
Input Output ◽  
Output Analysis ◽  
Four Dimensions ◽  
Low Energy Consumption ◽  
Level Of Economic Development ◽  
Radar Map ◽  
Consumption Control

Different regions in China have different energy consumption characteristics and changing trends. This paper focuses on analyzing trends in energy consumption changes along the timeline for 30 regions in China. Using the Hybrid Input-Output Model, this paper decomposes energy consumption in 30 regions in 2007, 2012 and 2016 into energy embedded of final consumption expenditure, gross capital formation, inflow and outflow. We use these four dimensions as coordinates to draw a regional radar map. According to the changing characteristics of the radar map, 30 regions are divided into three groups. By analyzing the reasons for the changes in three regions, we draw the following conclusions. For regions where energy consumption is mainly inflow, the economically developed regions have to form a low energy consumption environment while achieving economic growth. The economically underdeveloped regions need to carry out energy conservation and emission reduction as well as ensuring the level of economic development. For some outflow regions with moderately economic development, it is necessary to balance the economic development and energy consumption control according to regional characteristics. For resource-rich regions which are in the process of transformation from agriculture to industrialization, they have to maintain the rapid development speed and strengthen their infrastructure with less energy consumption of buildings.

scholarly journals Research on Standard System for “Double Control” of Total Energy Consumption and Energy Intensity

2019 ◽  
Vol 118 ◽  
pp. 01020
Author(s):  
Qing Ding ◽  
Haihong Chen ◽  
Pengcheng Li ◽  
Meng Liu ◽  
Ling Lin
Keyword(s):  
Energy Consumption ◽  
Total Energy ◽  
Continuous Improvement ◽  
Energy Intensity ◽  
Standard System ◽  
Total Energy Consumption ◽  
Intensity Control ◽  
The Future ◽  
Consumption Control

The significance of the principles and methods for building the standard system for “double control” was analyzed. A framework of standard system for “double control” was preliminarily built, comprising three subsystems of fundamental common, total energy consumption control and energy intensity control. The features and shortcomings of standards for “double control” was analyzed, as a reference for the continuous improvement of the standard system for “double control”, as well as the research and preparation of key standards in the future.

Sign in / Sign up

Export Citation Format

Share Document