In the future, the individual entities of microgrids such as distributed generators and smart loads may need to determine their power generation or consumption in more economic ways. Intelligent agents can help the de...In the future, the individual entities of microgrids such as distributed generators and smart loads may need to determine their power generation or consumption in more economic ways. Intelligent agents can help the decision-making procedure of the entities by intelligent algorithms and state-of-the-art communication with central controller and other local agents. This paper presents the development of atable-top microgrid control system using multi-agent systems and also the demonstration of demand response programs during power shortage. In our table-top system, agents are implemented using microcontrollers and Zigbee wireless communication technology is applied for efficient data communication in the multi-agent system. The power system models of distributed generators and loads are implemented in the real-time simulator using Opal-RT system. The whole test system that includes real-time system simulation and agent hardware is implemented in the hardware-in-the-loop simulation framework. The performance of the developed system is tested for emergency demand response cases.展开更多
This paper proposes a novel dual layered multi agent system (MAS) based control system for the use in microgrid operations. In developing a smarter grid capable of withstanding disturbances and/or outages and providin...This paper proposes a novel dual layered multi agent system (MAS) based control system for the use in microgrid operations. In developing a smarter grid capable of withstanding disturbances and/or outages and providing quality service to the consumers, reliable microgrid control architecture is vital. The innovative microgrid control system proposed, makes the microgrid capable of isolating the local grid from effects of any upstream disturbances in the main utility grid by operating disconnected from the main utility via islanding, and it allows the most critical local loads to be supplied by any, available, local power source during such islanded operation. The proposed MAS control architecture is developed using the JADE platform and it is used to control a test network simulated in MATLAB. The results of these simulations show the capability of developing MAS based reliable control mechanism for islanding and load management of microgrids based on the proposed concept.展开更多
The distribution loads, output of distributed generations (DGs) and dynamic power price present obvious time-sequence property, the typical property is studied in this paper. The model of microgrid (including adjustab...The distribution loads, output of distributed generations (DGs) and dynamic power price present obvious time-sequence property, the typical property is studied in this paper. The model of microgrid (including adjustable load, DGs, storage and dynamic power price) is studied. A multi-timescale collaborative optimization model is built towards microgrid;main measures in different timescale optimization are realized. An improved adaptive genetic algorithm is used to solve the optimization problem, which improved the efficiency and reliability. The proposed optimization model is simulated in IEEE 33 node system;the results show it’s effective.展开更多
Microgrid systems are built to integrate a generation mix of solar and wind renewable energy resources that are generally intermittent in nature. This paper presents a novel decentralized multi-agent system to securel...Microgrid systems are built to integrate a generation mix of solar and wind renewable energy resources that are generally intermittent in nature. This paper presents a novel decentralized multi-agent system to securely operate microgrids in real-time while maintaining generation</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;"> load balance. Agents provide a normal operation in a grid-connected mode and a contingency operation in an islanded mode for fault handling. Fault handling is especially critical in microgrid operation to simulate possible contingencies and microgrid outages in a real-world scenario. A robust agent design has been implemented using MATLAB</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">Simulink and Java Agent Development Framework technologies to simulate microgrids with load management and distributed generators control. The microgrid of the German Jordanian University has been used for simulation for Summer and Winter photovoltaic generation and load profiles. The results show agent capabilities to operate microgrid in real-time and its ability to coordinate and adjust generation and load. In a simulated fault incident, agents coordinate and adjust to a normal operation in 0.012 seconds, a negligible time for microgrid restoration. This clearly shows that the multi-agent system is a viable solution to operate MG in real-time.展开更多
随着可再生能源并网比例增加及需求侧负荷多样化,多微网系统在促进分布式能源消纳方面发挥关键作用。为实现多微网系统内源荷储之间的高效协同配合,提出一种考虑虚拟储能(virtual energy storage,VES)的多微网混合博弈模型。首先根据空...随着可再生能源并网比例增加及需求侧负荷多样化,多微网系统在促进分布式能源消纳方面发挥关键作用。为实现多微网系统内源荷储之间的高效协同配合,提出一种考虑虚拟储能(virtual energy storage,VES)的多微网混合博弈模型。首先根据空调负荷等效热力学特性、电动汽车充放电特性,构建基于电动汽车集群、空调负荷集群的虚拟储能模型。其次构建以多微网运营商为领导者,负荷聚合商、储能运营商为跟随者的主从博弈模型,并在主从博弈基础上引入多微网运营商中各微网间的合作博弈,促进微网间的端对端(peer-to-peer,P2P)电能交易,在合作收益分配问题中,引入基于非线性函数贡献度的纳什议价模型,实现更加公平的微网间利益分配。最后基于结合求解器的自适应差分进化算法以及交替方向乘子法求解所提出的模型。仿真结果表明,所提多微网混合博弈模型有效均衡了各主体的效益,同时提升了多微网运营商的效益,使多微网内分布式可再生能源消纳率提升至100%,实体储能的充放电量减少16%的同时向上级电网的购电量也减少44%,降低了对实体储能以及上级电网的依赖。展开更多
文摘In the future, the individual entities of microgrids such as distributed generators and smart loads may need to determine their power generation or consumption in more economic ways. Intelligent agents can help the decision-making procedure of the entities by intelligent algorithms and state-of-the-art communication with central controller and other local agents. This paper presents the development of atable-top microgrid control system using multi-agent systems and also the demonstration of demand response programs during power shortage. In our table-top system, agents are implemented using microcontrollers and Zigbee wireless communication technology is applied for efficient data communication in the multi-agent system. The power system models of distributed generators and loads are implemented in the real-time simulator using Opal-RT system. The whole test system that includes real-time system simulation and agent hardware is implemented in the hardware-in-the-loop simulation framework. The performance of the developed system is tested for emergency demand response cases.
文摘This paper proposes a novel dual layered multi agent system (MAS) based control system for the use in microgrid operations. In developing a smarter grid capable of withstanding disturbances and/or outages and providing quality service to the consumers, reliable microgrid control architecture is vital. The innovative microgrid control system proposed, makes the microgrid capable of isolating the local grid from effects of any upstream disturbances in the main utility grid by operating disconnected from the main utility via islanding, and it allows the most critical local loads to be supplied by any, available, local power source during such islanded operation. The proposed MAS control architecture is developed using the JADE platform and it is used to control a test network simulated in MATLAB. The results of these simulations show the capability of developing MAS based reliable control mechanism for islanding and load management of microgrids based on the proposed concept.
文摘The distribution loads, output of distributed generations (DGs) and dynamic power price present obvious time-sequence property, the typical property is studied in this paper. The model of microgrid (including adjustable load, DGs, storage and dynamic power price) is studied. A multi-timescale collaborative optimization model is built towards microgrid;main measures in different timescale optimization are realized. An improved adaptive genetic algorithm is used to solve the optimization problem, which improved the efficiency and reliability. The proposed optimization model is simulated in IEEE 33 node system;the results show it’s effective.
文摘Microgrid systems are built to integrate a generation mix of solar and wind renewable energy resources that are generally intermittent in nature. This paper presents a novel decentralized multi-agent system to securely operate microgrids in real-time while maintaining generation</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;"> load balance. Agents provide a normal operation in a grid-connected mode and a contingency operation in an islanded mode for fault handling. Fault handling is especially critical in microgrid operation to simulate possible contingencies and microgrid outages in a real-world scenario. A robust agent design has been implemented using MATLAB</span><span style="font-family:Verdana;">-</span><span style="font-family:Verdana;">Simulink and Java Agent Development Framework technologies to simulate microgrids with load management and distributed generators control. The microgrid of the German Jordanian University has been used for simulation for Summer and Winter photovoltaic generation and load profiles. The results show agent capabilities to operate microgrid in real-time and its ability to coordinate and adjust generation and load. In a simulated fault incident, agents coordinate and adjust to a normal operation in 0.012 seconds, a negligible time for microgrid restoration. This clearly shows that the multi-agent system is a viable solution to operate MG in real-time.
文摘随着可再生能源并网比例增加及需求侧负荷多样化,多微网系统在促进分布式能源消纳方面发挥关键作用。为实现多微网系统内源荷储之间的高效协同配合,提出一种考虑虚拟储能(virtual energy storage,VES)的多微网混合博弈模型。首先根据空调负荷等效热力学特性、电动汽车充放电特性,构建基于电动汽车集群、空调负荷集群的虚拟储能模型。其次构建以多微网运营商为领导者,负荷聚合商、储能运营商为跟随者的主从博弈模型,并在主从博弈基础上引入多微网运营商中各微网间的合作博弈,促进微网间的端对端(peer-to-peer,P2P)电能交易,在合作收益分配问题中,引入基于非线性函数贡献度的纳什议价模型,实现更加公平的微网间利益分配。最后基于结合求解器的自适应差分进化算法以及交替方向乘子法求解所提出的模型。仿真结果表明,所提多微网混合博弈模型有效均衡了各主体的效益,同时提升了多微网运营商的效益,使多微网内分布式可再生能源消纳率提升至100%,实体储能的充放电量减少16%的同时向上级电网的购电量也减少44%,降低了对实体储能以及上级电网的依赖。
