Design of Demand Response System Based on OpenADR

2014 ◽  
Vol 521 ◽  
pp. 444-448 ◽  
Author(s):  
Yan Kai Guo ◽  
Bing Qi ◽  
Song Song Chen ◽  
Ming Zhong
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Power Supply ◽  
System Architecture ◽  
Supply And Demand ◽  
Reference Value ◽  
Electric Power System ◽  
Stable Operation ◽  
Response System ◽  
Global Power

The double pressures of resources and environment have brought the global power industry into the era of Smart Grid. In order to better promote the development of Demand Response of Smart Grid and to offer new regulation resources for the safe and stable operation of electric power system, OpenADR, the Open Automated Demand Response Communications Specification, has been discussed in detail, which aims at the problems of energy efficiency and the contradiction between power supply and demand. And a design scheme of Auto-DR system which introduces in detail the system architecture and the communications architecture based on OpenADR was proposed to realize the two-way communications between Utilities and end-users, and the problems such as the peak, the gap between supply and demand and the electricity structure management would be consequently solved. This scheme has a certain reference value to the Demand Side Management under the framework of Smart Grid.

Power Flow Adjustment for Smart Microgrid Based on Edge Computing and Deep Reinforcement Learning

2021 ◽  
Author(s):  
Tianjiao Pu ◽  
Fei Jiao ◽  
Yifan Cao ◽  
Zhicheng Liu ◽  
Chao Qiu ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Smart Grid ◽  
Power Control ◽  
Power Flow ◽  
Supply And Demand ◽  
Edge Computing ◽  
Stable Operation ◽  
Local Autonomy ◽  
Real Time Control ◽  
Flow Adjustment

Abstract As one of the core components that improve transportation, generation, delivery, and electricity consumption in terms of protection and reliability, smart grid can provide full visibility and universal control of power assets and services, provide resilience to system anomalies and enable new ways to supply and trade resources in a coordinated manner. In current power grids, a large number of power supply and demand components, sensing and control devices generate lots of requirements, e.g., data perception, information transmission, business processing and real-time control, while existing centralized cloud computing paradigm is hard to address issues and challenges such as rapid response and local autonomy. Specifically, the trend of micro grid computing is one of the key challenges in smart grid, because a lot of in the power grid, diverse, adjustable supply components and more complex, optimization of difficulty is also relatively large, whereas traditional, manual, centralized methods are often dependent on expert experience, and requires a lot of manpower. Furthermore, the application of edge intelligence to power flow adjustment in smart grid is still in its infancy. In order to meet this challenge, we propose a power control framework combining edge computing and machine learning, which makes full use of edge nodes to sense network state and power control, so as to achieve the goal of fast response and local autonomy. Furthermore, we design and implement parameters such as state, action and reward by using deep reinforcement learning to make intelligent control decisions, aiming at the problem that flow calculation often does not converge. The simulation results demonstrate the effectiveness of our method with successful dynamic power flow calculating and stable operation under various power conditions.

scholarly journals Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Huwei Chen ◽  
Hui Hui ◽  
Zhou Su ◽  
Dongfeng Fang ◽  
Yilong Hui
Keyword(s):  
Internet Of Things ◽  
Smart Grid ◽  
Real Time ◽  
Power Supply ◽  
Stackelberg Game ◽  
Supply And Demand ◽  
Pricing Strategy ◽  
Maximal Profit ◽  
Real Time Pricing ◽  
The Stability

The ever increasing demand of energy efficiency and the strong awareness of environment have led to the enhanced interests in green Internet of things (IoTs). How to efficiently deliver power, especially, with the smart grid based on the stability of network becomes a challenge for green IoTs. Therefore, in this paper we present a novel real-time pricing strategy based on the network stability in the green IoTs enabled smart grid. Firstly, the outage is analyzed by considering the imbalance of power supply and demand as well as the load uncertainty. Secondly, the problem of power supply with multiple-retailers is formulated as a Stackelberg game, where the optimal price can be obtained with the maximal profit for retailers and users. Thirdly, the stability of price is analyzed under the constraints. In addition, simulation results show the efficiency of the proposed strategy.

Future evolution of automated demand response system in smart grid for low-carbon economy

ENERGYO ◽  
2018 ◽  
Author(s):  
Huaguang YAN ◽  
Bin LI ◽  
Songsong CHEN ◽  
Ming ZHONG ◽  
Dezhi LI ◽  
...  
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Low Carbon ◽  
Future Evolution ◽  
Low Carbon Economy ◽  
Response System ◽  
Carbon Economy

Growth Ceiling of Energy Efficiency and Countermeasure Archetype in Electric Power Supply and Demand System

2013 ◽  
Vol 291-294 ◽  
pp. 1297-1302 ◽  
Author(s):  
Qing You Yan ◽  
Xin Fa Tang ◽  
Juan Juan Cao ◽  
Chao Kong
Keyword(s):  
Energy Efficiency ◽  
Electric Power ◽  
Power Supply ◽  
Supply And Demand ◽  
Feedback Mechanism ◽  
Electric Power System ◽  
Demand System ◽  
Efficiency Improvement ◽  
Electric Power Supply ◽  
Energy Efficiency Improvement

Energy efficiency depends on the profit that the consumed energy contributes to human need system for the sustainable development. With the increasing importance of coordinate development of environment, economic and electric power system, it is more and more difficult to choose the right improvement path and mechanism of energy efficiency in electric-power supply and demand system. After analyzing the feedback mechanism of energy efficiency improvement of the electric power supply and demand system, energy efficiency improvement which caused the growth ceiling was found along with some inhibition factors in the process of energy efficiency improvement. In view of the energy efficiency improvement growth ceiling of the electric-power supply and demand system, the end treatment mechanism was introduced as a countermeasure which inputs environmental costs to the power supply chain. Furthermore, government guides and participates in energy efficiency investment, which was regarded as another countermeasure attached much importance. So the improvement of energy efficiency in supply and demand system of electric power can be maximized.

Modeling framework and validation of a smart grid and demand response system for wind power integration

2014 ◽  
Vol 113 ◽  
pp. 199-207 ◽  
Author(s):  
Torsten Broeer ◽  
Jason Fuller ◽  
Francis Tuffner ◽  
David Chassin ◽  
Ned Djilali
Keyword(s):  
Smart Grid ◽  
Wind Power ◽  
Demand Response ◽  
Modeling Framework ◽  
Wind Power Integration ◽  
Response System

scholarly journals Smart Demand Response Based on Smart Homes

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Jingang Lai ◽  
Hong Zhou ◽  
Wenshan Hu ◽  
Dongguo Zhou ◽  
Liang Zhong
Keyword(s):  
Smart Grid ◽  
Energy Saving ◽  
Demand Response ◽  
Energy Savings ◽  
Supply And Demand ◽  
Smart Homes ◽  
Electricity Supply ◽  
Power Cable ◽  
Peak Shaving ◽  
Energy Feedback

Smart homes (SHs) are crucial parts for demand response management (DRM) of smart grid (SG). The aim of SHs based demand response (DR) is to provide a flexible two-way energy feedback whilst (or shortly after) the consumption occurs. It can potentially persuade end-users to achieve energy saving and cooperate with the electricity producer or supplier to maintain balance between the electricity supply and demand through the method of peak shaving and valley filling. However, existing solutions are challenged by the lack of consideration between the wide application of fiber power cable to the home (FPCTTH) and related users’ behaviors. Based on the new network infrastructure, the design and development of smart DR systems based on SHs are related with not only functionalities as security, convenience, and comfort, but also energy savings. A new multirouting protocol based on Kruskal’s algorithm is designed for the reliability and safety of the SHs distribution network. The benefits of FPCTTH-based SHs are summarized at the end of the paper.

scholarly journals Progressive IRP Models for Power Resources Including EPP

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Yiping Zhu ◽  
Yuan Hu ◽  
Faliang Zhang
Keyword(s):  
Power Supply ◽  
Low Cost ◽  
Supply And Demand ◽  
Reference Value ◽  
Environmental Constraints ◽  
Regional Power ◽  
Power Resources ◽  
Environmental Objectives ◽  
Planning Models ◽  
Benefit Cost

In the view of optimizing regional power supply and demand, the paper makes effective planning scheduling of supply and demand side resources including energy efficiency power plant (EPP), to achieve the target of benefit, cost, and environmental constraints. In order to highlight the characteristics of different supply and demand resources in economic, environmental, and carbon constraints, three planning models with progressive constraints are constructed. Results of three models by the same example show that the best solutions to different models are different. The planning model including EPP has obvious advantages considering pollutant and carbon emission constraints, which confirms the advantages of low cost and emissions of EPP. The construction of progressive IRP models for power resources considering EPP has a certain reference value for guiding the planning and layout of EPP within other power resources and achieving cost and environmental objectives.

Sign in / Sign up

Export Citation Format

Share Document