scholarly journals Construction of automatic demand response dynamic model for distributed new energy consumption

2021 ◽  
Vol 781 (4) ◽  
pp. 042059
Author(s):  
Menghan Xu ◽  
Chong Wang ◽  
Chuanzheng Gong ◽  
Qibo Yan
Keyword(s):  
Energy Consumption ◽  
Dynamic Model ◽  
Demand Response ◽  
Response Dynamic ◽  
New Energy

scholarly journals Implementation of Power Demand Response Trading System for New Energy Consumption

2021 ◽  
Vol 236 ◽  
pp. 02014
Author(s):  
Yi ZHANG ◽  
Feng ZHANG ◽  
Youchun LI ◽  
Jianqiang CAI ◽  
Yang LI ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Demand Response ◽  
Power Grid ◽  
Clean Energy ◽  
Point Of View ◽  
Power Demand ◽  
Trading System ◽  
Market Signals ◽  
New Energy ◽  
Energy Installation

Demand response adjusts demand through market signals such as price to promote grid reliability. By changing the demand for electricity, the demand response can realize the friendly interaction of sourcenetwork-load, promote the absorption of new energy, and thus applying to the rapid growth of the scale of new energy installation. Considering the characteristics of provincial power grid, this paper studies the power demand response trading organization and technology realization from the point of view of promoting clean energy consumption, and realizes it systematically. This method has universal application value for the same type of provincial power grid.

scholarly journals Assessing the Value of Demand Response in Microgrids

2021 ◽  
Vol 13 (11) ◽  
pp. 5848
Author(s):  
Isaías Gomes ◽  
Rui Melicio ◽  
Victor M. F. Mendes
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Energy Storage ◽  
Case Studies ◽  
Demand Response ◽  
Storage Systems ◽  
Computer Application ◽  
Market Prices ◽  
Proper Formulation ◽  
Operation Case

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.

The distributive knot: negotiators’ responsibility to untie complex demands

2017 ◽  
Vol 32 (4) ◽  
pp. 535-540 ◽  
Author(s):  
Alain Lempereur ◽  
Michele Pekar
Keyword(s):  
Demand Response ◽  
Automotive Industry ◽  
Design Methodology ◽  
Analytical Framework ◽  
Content Type ◽  
Business System ◽  
Response Dynamic ◽  
Managerial System ◽  
Deal Making ◽  
Different Levels

Purpose This article aims to explore the fundamental negotiation structure as a demand/response dynamic. It tests it in a complex business system, where a manager as a negotiator is confronted with multiple demands or pressures at different levels from a variety of stakeholders, both external and internal. Design/methodology/approach Based on concrete examples from the automotive industry, it presents an analytical framework to tackle all negotiation interactions. Findings This article suggests that it is possible to describe all negotiation interactions, whether they are simple or complex, through a demand/response framework. Originality/value This contribution examines a fundamental structure for negotiation responsibility – the demand/response dynamic – defining the mission of any negotiator in deal-making or dispute resolution as to try to supply a response to the expressed crossed demands. Second, the proposed theoretical model of demand/response is transposed and tested in a managerial system where a sales negotiator is confronted with demands from more sources, both external and internal, with the responsibility to satisfy as best as possible the various stakeholders and the capacity to address each of them with different moves.

scholarly journals Minimum Energy Trajectory Optimization for Driving Systems of Palletizing Robot Joints

2018 ◽  
Vol 2018 ◽  
pp. 1-26
Author(s):  
Ying He ◽  
Jiangping Mei ◽  
Zhiwei Fang ◽  
Fan Zhang ◽  
Yanqin Zhao
Keyword(s):  
Fourier Series ◽  
Energy Consumption ◽  
Total Energy ◽  
Dynamic Model ◽  
Trajectory Optimization ◽  
Joint Torque ◽  
Total Energy Consumption ◽  
Energy Consumption Model ◽  
Energy Consumption Optimization ◽  
Consumption Model

Palletizing robot is widely used in logistics operation. At present, people pay attention to not only the loading capacity and working efficiency of palletizing robots, but also the energy consumption in their working process. This paper takes MD1200-YJ palletizing robot as the research object and studies the problem of low energy consumption optimization of joint driving system from the perspective of trajectory optimization. Firstly, a multifactor dynamic model of palletizing robot is established based on the conventional inverse rigid body dynamic model of the robot, the Stribeck friction model and the spring balance torque model. And then based on joint torque, friction torque, motion parameter, and joule’s law, the useful work model, thermal loss model of joint motor, friction energy consumption model of joint system, and total energy consumption model of palletizing robot are established, and through simulation and experiment, the correctness of the multifactor dynamic model and energy consumption model is verified. Secondly, based on the Fourier series approximation method to construct the joint trajectory expression, the minimum total energy consumption as the optimization objective, with coefficients of Fourier series as optimization variables, the motion parameters of initial and final position, and running time constant as constraint conditions, the genetic algorithm is used to solve the optimization problem. Finally, through the simulation analysis the optimized Fourier series motion law and the 3-4-5 polynomial motion law are comprehensively evaluated to verify the effectiveness of the optimization method. Moreover, it provides the theoretical basis for the follow-up research and points out the direction of improvement.

scholarly journals Talking about the Energy-saving Technical Measures in the Electrical Design of Buildings

1970 ◽  
Vol 1 (1) ◽  
Author(s):  
Zhang Mian
Keyword(s):  
Sustainable Development ◽  
Energy Consumption ◽  
Energy Conservation ◽  
Research And Development ◽  
Energy Saving ◽  
New Technologies ◽  
New Products ◽  
New Energy ◽  
Technical Measures

At present, people pay more attention to the energy consumption of building electrical design, the use of energy-saving design can maximize the energy conservation resources, and ultimately increase the pace of social sustainable development. Therefore, the energy-saving designers involved in the need to follow the economic rational, safe and feasible benchmark to select the appropriate energy-saving measures to increase research and development of new technologies, new products and new energy, the concept of sustainable development to be implemented. In view of this, this paper mainly analyzes the energy saving technical measures in the electrical design of thebuilding.

scholarly journals Thermal demand response model considering user's satisfaction with heat consumption under electrothermal coupling

2021 ◽  
Vol 236 ◽  
pp. 01034
Author(s):  
Wang Zhenyu ◽  
Zhang Jianhua ◽  
Hu Chunlan ◽  
Xu Lanlan ◽  
Han Yongjun
Keyword(s):  
Demand Response ◽  
Supply And Demand ◽  
Thermal Power ◽  
Response Model ◽  
Power Demand ◽  
Time Sharing ◽  
Economic Operation ◽  
New Energy ◽  
Heating Mode ◽  
Demand Side Response

.In recent years, the development of new energy has become a bottleneck. As a high-quality demand side response resource that can be flexibly dispatched, thermal load can be used to promote the consumption and utilization of new energy. Based on the theory of peak valley electricity price and power demand response mechanism, this paper designs a demand response model of thermal price type, which uses time-sharing heat price to guide users to use heat orderly on the heating side. The simulation results show that the reasonable setting of heat price and satisfaction constraints of different heating modes can effectively change the heating mode of the user side and alleviate the contradiction between the supply and demand of thermal power, reduce the heating cost and realize the economic operation of the system.

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