scholarly journals Demand Response Optimal Dispatch and Control of TCL and PEV Agents with Renewable Energies

2021 ◽  
Vol 5 (4) ◽  
pp. 140
Author(s):  
Jianqiang Hu ◽  
Jinde Cao
Keyword(s):  
Power Systems ◽  
Demand Response ◽  
Control Strategy ◽  
Programming Model ◽  
Response Strategy ◽  
Chance Constraint ◽  
Optimal Dispatch ◽  
Renewable Power ◽  
Power Injection ◽  
And Control

Demand response (DR) flexible loads can provide fast regulation and ancillary services as reserve capacity in power systems. This paper proposes a demand response optimization dispatch control strategy for flexible thermostatically controlled loads (TCLs) and plug-in electric vehicles (PEVs) with stochastic renewable power injection. Firstly, a chance constraint look-ahead programming model is proposed to maximize the social welfare of both units and load agents, through which the optimal power scheduling for TCL/PEV agents can be obtained. Secondly, two demand response control algorithms for TCLs and PEVs are proposed, respectively, based on the aggregate control models of the load agents. The TCLs are controlled by its temperature setpoints and PEVs are controlled by its charging power such that the DR control objective can be fulfilled. It has been shown that the proposed dispatch and control strategy can coordinate the flexible load agents and the renewable power injection. Finally, the simulation results on a modified IEEE 39 bus system demonstrate the effectiveness of the proposed demand response strategy.

scholarly journals Chance-Constrained Optimization Dispatch and Demand Response Control of Thermostatically Controlled Loads and Plug-in Electric Vehicles

2021 ◽  
Author(s):  
Jianqiang Hu ◽  
Jinde Cao
Keyword(s):  
Power Systems ◽  
Electric Vehicles ◽  
Demand Response ◽  
Wind Farm ◽  
Sample Average Approximation ◽  
Chance Constraint ◽  
Response Control ◽  
Renewable Power ◽  
Look Ahead ◽  
Thermostatically Controlled Loads

Demand response flexible loads can provide fast regulation and ancillary services as reserve capacity in power systems. This paper proposes a joint optimization dispatch control strategy for source-load system with stochastic renewable power injection and flexible thermostatically controlled loads (TCLs) and plug-in electric vehicles (PEVs). Specifically, the optimization model is characterized by a chance constraint look-ahead programming to maximal the social welfare of both units and load agents. By solving the chance constraint optimization with sample average approximation (SAA) method, the optimal power scheduling for units and TCL/PEV agents can be obtained. Secondly, two demand response control algorithms for TCLs and PEVs are proposed respectively based on the aggregate control models of the load agents. The TCLs are controlled by its temperature setpoints and PEVs are controlled by its charging power such that the DR control objective can be fulfilled. The effectiveness of the proposed dispatch and control algorithm has been demonstrated by the simulation studies on a modified IEEE 39 bus system with a wind farm, a photovoltaic power station, two TCL agents and two PEV agents.

Optimal Control of Distributed Generation System: The State of the Art

2013 ◽  
Vol 433-435 ◽  
pp. 1061-1064
Author(s):  
Hai Liu ◽  
Qing Fu Du ◽  
Yong Song ◽  
Wei Guo
Keyword(s):  
Optimal Control ◽  
Distributed Generation ◽  
Control Strategy ◽  
State Of The Art ◽  
The State ◽  
Generation System ◽  
Modeling And Analysis ◽  
Optimal Dispatch ◽  
Research Orientations ◽  
And Control

This paper presents a detailed review of the existing methods of the optimal control of distributed generation system and the state of the art of current research. The research of the optimal control of distributed generation system is summarized in terms optimal dispatch and control strategy. The approach of modeling and analysis for distributed generation system is described in detail. The key difficulties of the theory and technique about the optimal control of distributed generation system are analyzed. The current issues about the optimal control of the system are pointed out at last, and the research orientations of the optimal control of distributed generation system are presented.

scholarly journals A Two-Stage Cooperative Dispatch Model for Power Systems Considering Security and Source-Load Interaction

2021 ◽  
Vol 13 (23) ◽  
pp. 13350
Author(s):  
Haiteng Han ◽  
Chen Wu ◽  
Zhinong Wei ◽  
Haixiang Zang ◽  
Guoqiang Sun ◽  
...  
Keyword(s):  
Power Systems ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Multi Objective Optimization ◽  
Two Stage ◽  
Optimal Dispatch ◽  
Second Stage ◽  
The Relationship ◽  
Interactive Resources

In modern power systems with more renewable energy sources connected, the consideration of both security and economy becomes the key to research on power system optimal dispatch, especially when more participants from the source and load sides join in the interaction response activities. In this paper, we propose a two-stage dispatch model that contains a day-ahead multi-objective optimization scheduling sub-model that combines a hyper-box and hyper-ellipse space theory-based system security index in the first stage, and an intraday adjustment scheduling sub-model that considers active demand response (DR) behavior in the second stage. This model is able to quantitatively analyze the relationship between the security and economy of the system dispatch process, as well as the impacts of the interaction response behavior on the wind power consumption and the system’s daily operating cost. The model can be applied to the evaluation of the response mechanism design for interactive resources in regional power systems.

scholarly journals A stabilising control strategy for Cyber-Physical Power Systems

2018 ◽  
Author(s):  
Etinosa Ekomwenrenren ◽  
Hatem Alharbi ◽  
Taisir Elgorashi ◽  
Jaafar Elmirghani ◽  
Petros Aristidou
Keyword(s):  
Power Systems ◽  
Power System ◽  
Control Strategy ◽  
Physical Nature ◽  
System Stability ◽  
Wide Area ◽  
Equivalent Model ◽  
Communication Infrastructure ◽  
Damping Controllers ◽  
And Control

The cyber-physical nature of electric power systems has increased immensely over the last decades, with advanced communication infrastructure paving the way. It is now possible to design wide-area controllers, relying on remote monitor and control of devices, that can tackle power system stability problems more effectively than local controllers. However, their performance and security relies extensively on the communication infrastructure and can make power systems vulnerable to disturbances emerging on the cyber side of the system. In this paper, we investigate the effect of communication delays on the performance and security of wide-area damping controllers (WADC) designed to stabilise oscillatory modes in a Cyber-Physical Power System (CPPS). We propose a rule-based control strategy that combines wide-area and traditional local stabilising controllers to increase the performance and maintain the security of CPPS. The proposed strategy is validated on a reduced CPPS equivalent model of Great-Britain (GB).

scholarly journals Hydro-reservoir management and unit-commitment in energy optimization

2021 ◽  
Author(s):  
Flávio Leite Loução Junior ◽  
Marlon Sproesser Mathias ◽  
Claudia Sagastizábal ◽  
Luiz-Rafael Santos ◽  
Francisco Nogueira Calmon Sobral
Keyword(s):  
Power Systems ◽  
Demand Response ◽  
Power Plants ◽  
Unit Commitment ◽  
Thermal Power ◽  
Point Of View ◽  
Mixed Integer ◽  
Thermal Power Plants ◽  
Hydro Power ◽  
Optimal Dispatch

In partnership with CCEE, CEPEL and RADIX as industrial partners, in 2021 the study group focused on the dynamics of hourly prices when industrial consumers are demand responsive, as a follow-up of the industrial problem tackled in 2018 and 2019, on ``Day-ahead pricing mechanisms for hydro-thermal power systems''. Demand response is currently being tested by the Brazilian independent system operator and by the trading chamber, ONS. The program considers reductions of consumption of some clients as an alternative to dispatching thermal power plants out of the merit order. The day-ahead problem of finding optimal dispatch and prices for the Brazilian system is modelled as a mixed-integer linear programming problem, with non-convexities related to fixed costs and minimal generation requirements for some thermal power plants. The work focuses on the point of view of an individual hydro-power generator, to determine business opportunities related to adhering to a demand response program.

A Novel Operation and Control Strategy for a Standalone Hybrid Renewable Power System

2013 ◽  
Vol 4 (2) ◽  
pp. 402-413 ◽  
Author(s):  
A. M. Osman Haruni ◽  
Michael Negnevitsky ◽  
Md. Enamul Haque ◽  
Ameen Gargoom
Keyword(s):  
Power System ◽  
Control Strategy ◽  
Renewable Power ◽  
And Control

scholarly journals Uncertainty-Based Models for Optimal Management of Energy Hubs Considering Demand Response

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1413 ◽  
Author(s):  
Arsalan Najafi ◽  
Mousa Marzband ◽  
Behnam Mohamadi-Ivatloo ◽  
Javier Contreras ◽  
Mahdi Pourakbari-Kasmaei ◽  
...  
Keyword(s):  
Decision Making ◽  
Power Systems ◽  
Wind Turbine ◽  
Demand Response ◽  
Electricity Market ◽  
Programming Model ◽  
Decision Making Process ◽  
Market Prices ◽  
Gas Network ◽  
Energy Hub

Energy hub (EH) is a concept that is commonly used to describe multi-carrier energy systems. New advances in the area of energy conversion and storage have resulted in the development of EHs. The efficiency and capability of power systems can be improved by using EHs. This paper proposes an Information Gap Decision Theory (IGDT)-based model for EH management, taking into account the demand response (DR). The proposed model is applied to a semi-realistic case study with large consumers within a day ahead of the scheduling time horizon. The EH has some inputs including real-time (RT) and day-ahead (DA) electricity market prices, wind turbine generation, and natural gas network data. It also has electricity and heat demands as part of the output. The management of the EH is investigated considering the uncertainty in RT electricity market prices and wind turbine generation. The decisions are robust against uncertainties using the IGDT method. DR is added to the decision-making process in order to increase the flexibility of the decisions made. The numerical results demonstrate that considering DR in the IGDT-based EH management system changes the decision-making process. The results of the IGDT and stochastic programming model have been shown for more comprehension.

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