This paper investigates the economic dispatch (ED) problem of multi-microgrids considering the flexible loads based on distributed consensus algorithm. At first, based on the global interconnection of multi-microgrids...
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This paper investigates the economic dispatch (ED) problem of multi-microgrids considering the flexible loads based on distributed consensus algorithm. At first, based on the global interconnection of multi-microgrids, the structure topology diagram of distributed generator nodes is designed, and then the flexible load is considered as adjustable load and added into the fixed loads. Next, a multi-microgrids economic dispatch (MMED) model is constructed with the goal of minimizing the operating cost of the entire system. The proposed MMED model is a two-layer coordinated optimization model, with the power transmission cost between each microgrid as the multi-microgrids layer framework and the internal operating costs of a single microgrid as the sub-microgrid layer framework. The distributed consensus algorithm is designed to solve the MMED problem by considering the constraint conditions of each generator node. Finally, some examples are provided to verify the effectiveness of the proposed method. That is, when considering the total load demand changes from 1500 kW (example 1) to 1600 kW (example 2), the total generator power of three microgrids can correctly adapt to changes and meet load demands, this situation is the same with multi-period simulation (example 3), which is more general and applicable.
In this article, by using distributed consensus algorithm, the power compensation problem of network losses in a microgrid is considered with battery energy storage systems (BESSs). At first, the battery storage unit ...
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In this article, by using distributed consensus algorithm, the power compensation problem of network losses in a microgrid is considered with battery energy storage systems (BESSs). At first, the battery storage unit (BSU) is assembled at each node to maintain the power supply demand balance of the microgrid, then the power constraint is considered, which demands each BSU must run between its upper and lower bounds, otherwise, the upper or lower bounds will be used to replace the real power of the BSU. In order to keep the power balance of microgrid when network losses exist, a novel distributed consensus algorithm is proposed to compensate the missing power through the discharging process of BSUs, and the state of charge (SOC) of BESS is also considered. Besides, the case of battery faults is also considered, where the minimum layout point constraint is presented to ensure the completely compensation of the whole transmission losses. Finally, the test results of IEEE 14-bus and IEEE 57-bus microgrid systems are provided to verify the effectiveness and validity of the proposed method, respectively.
A novel power quality management method of microgrid cluster based on distributed consensus algorithm is proposed in this paper. First of all, when power quality problems arise, converters with suitable positions ...
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In this paper, we propose a novel method to obtain the damage model (connectivity) of a power distribution system (PDS) based on distributed consensus algorithm. The measurement and sensing units in the distribution n...
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ISBN:
(纸本)9781728131030
In this paper, we propose a novel method to obtain the damage model (connectivity) of a power distribution system (PDS) based on distributed consensus algorithm. The measurement and sensing units in the distribution network are modeled as an agent with limited communication capability that exchanges the information (switch status) to reach an agreement in a consensusalgorithm. Besides, a communication graph is designed for agents to run the consensusalgorithm which is efficient and robust during the disaster event. Agents can dynamically communicate with the other agent based on available links that are established and solve the distributed consensus algorithm quickly to come up with the correct topology of PDS. Numerical simulations are performed to demonstrate the effectiveness of the proposed approach with the help of an IEEE 123-node test case with 3 different sub-graphs.
Economic dispatch problem (EDP) is an optimization problem, which aims at minimizing the total generation cost. On the other hand, with the development of smart grid, cyber network plays an important role in power sys...
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ISBN:
(纸本)9789881563958
Economic dispatch problem (EDP) is an optimization problem, which aims at minimizing the total generation cost. On the other hand, with the development of smart grid, cyber network plays an important role in power system operation. However, time delays are nonnegligible in a communication system. In this paper, a fully distributed consensus algorithm is proposed for EDP firstly, the total power demand can be obtained by K-step average consensusalgorithm. Then the impacts of time delays are discussed and the critical maximum allowable upper bounds are obtained. It should be pointed out that, even with time delays, the proposed algorithm can be used online because the total output power is equal to the total power demand all the time during the optimization process. Finally, several simulation cases are presented to demonstrate the effectiveness and usefulness of the proposed algorithm.
Economic dispatch problem(EDP) is an optimization problem, which aims at minimizing the total generation cost. On the other hand, with the development of smart grid, cyber network plays an important role in power syst...
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Economic dispatch problem(EDP) is an optimization problem, which aims at minimizing the total generation cost. On the other hand, with the development of smart grid, cyber network plays an important role in power system operation. However,time delays are nonnegligible in a communication system. In this paper, a fully distributed consensus algorithm is proposed for EDP firstly, the total power demand can be obtained by K-step average consensusalgorithm. Then the impacts of time delays are discussed and the critical maximum allowable upper bounds are obtained. It should be pointed out that, even with time delays,the proposed algorithm can be used online because the total output power is equal to the total power demand all the time during the optimization process. Finally, several simulation cases are presented to demonstrate the effectiveness and usefulness of the proposed algorithm.
In this paper,the distributed consensus algorithm is proposed to solve the power compensation problem of transmission losses with energy storage systems in a *** to the transmission losses,the total power between elec...
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ISBN:
(纸本)9781538629185
In this paper,the distributed consensus algorithm is proposed to solve the power compensation problem of transmission losses with energy storage systems in a *** to the transmission losses,the total power between electrical machines and loads may be not balanceable,the redundant or absent power must be used to charge or discharge the energy storage systems,which is vital to ensure the supply-demand balance in power *** paper proposes a distributed consensus algorithm for coordinating the energy storage systems to maintain the supply-demand balance,besides,the energy storage systems must be satisfied the relevant constrain ***,simulation results based on the IEEE 5-bus system are presented to demonstrate the effectiveness of the proposed algorithm.
In order to describe the interconnection among agents with multi-dimensional states, we generalize the notion of a graph Laplacian by extending the adjacency weights (or weighted interconnection coefficients) from sca...
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In order to describe the interconnection among agents with multi-dimensional states, we generalize the notion of a graph Laplacian by extending the adjacency weights (or weighted interconnection coefficients) from scalars to matrices. More precisely, we use positive definite matrices to denote full multi-dimensional interconnections, while using nonnegative definite matrices to denote partial multi-dimensional interconnections. We prove that the generalized graph Laplacian inherits the spectral properties of the graph Laplacian. As an application, we use the generalized graph Laplacian to establish a distributed consensus algorithm for agents described by multi-dimensional integrators.
In this study, a consensusalgorithm for multiple non-linear Euler-Lagrange systems is presented. This controller guarantees that all agents can reach a common state in the workspace. External disturbances acting on t...
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In this study, a consensusalgorithm for multiple non-linear Euler-Lagrange systems is presented. This controller guarantees that all agents can reach a common state in the workspace. External disturbances acting on the system are included in the closed-loop stability analysis, and the input-to-state properties of the proposed controller are investigated based on the concept of input-to-state consensus. Moreover, the influence of structural uncertainty is further discussed on the basis of passivity theory. The robustness of the proposed consensusalgorithm is then demonstrated in the presence of both external disturbances and structural uncertainty. Experiments are conducted to validate the effectiveness of the proposed consensusalgorithm.
In this work, we design a distributedalgorithm to detect coverage holes in sensor networks using the consensusalgorithm. First, we provide an overview of the work done in consensusalgorithm. We assume have no infor...
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In this work, we design a distributedalgorithm to detect coverage holes in sensor networks using the consensusalgorithm. First, we provide an overview of the work done in consensusalgorithm. We assume have no information on the position of the sensors and we work with the methods of algebraic topology to detect coverage holes. Then, we compare the performance of a centralized and a distributed detection and we show with simulations, the performance of our algorithm.
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