Complementary Configuration Research of New Combined Cooling, Heating, and Power System Driven by Renewable Energy under Energy Management Modes

2019 ◽  
Vol 7 (10) ◽  
pp. 1900409 ◽  
Author(s):  
Xiaobao Yu ◽  
Yuqing Geng
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Energy Management ◽  
Management Modes ◽  
Combined Cooling

A Multi-Agent Control for Energy Management in PV/Wind/Fuel Cell/Battery Hybrid Power System

2014 ◽  
Vol 573 ◽  
pp. 235-241
Author(s):  
T. Bogaraj ◽  
J. Kanakaraj ◽  
C. Maria Jenisha
Keyword(s):  
Renewable Energy ◽  
Fuel Cell ◽  
Power System ◽  
Energy Management ◽  
Renewable Energy Sources ◽  
Multi Agent System ◽  
Agent System ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Multi Agent

The usage of renewable energy systems increases worldwide due to extinction of conventional sources and also the absence of some serious environmental effects such as global warming, ozone layer depletion etc. These renewable power systems are not able to satisfy the load continuously due to seasonal availability of the resources. A Hybrid Power System (HPS) formed with renewable energy sources are a solution to provide power for stand-alone electrical loads. However, the energy management in HPS is quite complex as it relies on a central controller. This paper proposes a distributed Energy Management System (EMS) to control the energy flow in the PV/Wind/Fuel Cell/Battery HPS based on multi-agent system (MAS) technology. With this concept, a HPS is seen as a collection of different elements called agents, collaborates to reach a global coordination to satisfy the demand in the system. The Algorithm of the Multi-Agent System technique for HPS has been implemented using MATLAB/Simulink environment. The results show that the algorithm is effectively working for a HPS to provide power to the load and control power flow between various elements of the system.

scholarly journals Robust Scheduling Optimization Model for Combined Cooling, Heating and Power System in Industrial Parks

2022 ◽  
Vol 2160 (1) ◽  
pp. 012048
Author(s):  
Qingkun Tan ◽  
Lin Chen ◽  
Peng Wu ◽  
Hang Xu ◽  
Wei Tang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Energy System ◽  
Optimization Method ◽  
Optimal Operation ◽  
Industrial Park ◽  
System Operation ◽  
Operation Optimization ◽  
Environmental Objectives ◽  
Combined Cooling

Abstract The multi energy complementary system is a new power energy technology Firstly, we studied renewable energy and load uncertainties of an operation optimization system, and established the industrial park energy system, which includes wind power, photovoltaic power, a combined cooling, heating and power system, and an energy storage tank. Secondly, given the renewable energy uncertainties of unit output and load, we introduced a robust multi-objective operation optimization method for industrial park energy supply systems while considering conservative system operation. Thirdly, we examined the synergetic and game relationship among multiple objectives. The particle swarm optimization algorithm is was used to optimize the system operation scheme, reduce the feasible domain, and improve the efficiency of the solution. Finally, the simulation results show that the operation optimization method effectively uses the demand response to optimize economic and environmental objectives and ensure the optimal operation efficiency of the system under multiple uncertainties.

Multi-agent Control of Customer^|^apos;s Loads for Influence of Renewable Energy on the Power System

2014 ◽  
Vol 134 (10) ◽  
pp. 1515-1523
Author(s):  
Akihiro Ogawa ◽  
Kazunari Maki ◽  
Kiyoshi Hata ◽  
Yasunori Takeuchi ◽  
Fumio Ishikawa
Keyword(s):  
Renewable Energy ◽  
Power System ◽  
Multi Agent ◽  
Agent Control
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