A Bi-Level Linearized Dispatching Model of Active Distribution Network With Multi-Stakeholder Participation Based on Analytical Target Cascading

Du, Puliang; Chen, Zhong; Chen, Yanxi; Ma, Zeyu; Ding, Hongen

doi:10.1109/access.2019.2949097

Cited by 19 publications

(19 citation statements)

References 34 publications

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“…In this paper, since the EH, DN, and NG have individual objective functions, the analytical target cascading (ATC) is adopted to solving the problem 35,36 . This method is suitable for large‐scale multi‐level systems in this paper.…”

Section: Solving Methodsmentioning

confidence: 99%

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

Chen

Yang

2021

Int Trans Electr Energ Syst

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Summary As essential components in the energy hub, the multi‐energy devices are diverse, and their working conditions are complex. The relevant energy efficiency level of devices in the energy hub is also an important factor for the long‐term operation of the energy systems. The device efficiency is always considered constant in modeling the energy hub. However, it is necessary to study the efficiency variation and optimization of devices under off‐design working conditions. In this paper, we propose a coordinated dispatch method of the multi‐energy system considering the device off‐design characteristics in the energy hub. The energy efficiency optimization is included in the dispatch process. Then, we use the analysis target cascade (ATC) to obtain the optimal solution. The method is tested in the system, including distribution network, natural gas network, and energy hub. Compared to the traditional method, the proposed method can describe the operation of the whole system more authentically and thereby prove the effectiveness of energy efficiency optimization. The corresponding nonlinear constraints are linearized by piecewise linearization. Besides, we discuss the results of energy efficiency optimization at different load levels and capacity combinations, which is of guiding significance to optimize system working conditions.

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Section: Solving Methodsmentioning

confidence: 99%

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

Chen

Yang

2021

Int Trans Electr Energ Syst

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“…The constraints of this set of variables are: (16) In this way, the bilinear variables are transformed into the sum of a set of linear variables, which can be directly solved by a general commercial solver.…”

Section: Transformation Of Power Flow Constraintsmentioning

confidence: 99%

Robust Optimal Operation of Active Distribution Network Based on Minimum Confidence Interval of Distributed Energy Beta Distribution

Luo

Nie

Yang

et al. 2021

Journal of Modern Power Systems and Clean Energy

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With the gradual increase of distributed energy penetration, the traditional optimization model of distribution network can no longer guarantee the stable and efficient operation of the distribution network. In order to deal with the inevitable uncertainty of distributed energy, a new robust optimal operation method is proposed for active distribution network (ADN) based on the minimum confidence interval of distributed energy Beta distribution in this paper. First, an ADN model is established with second-order cone to include the energy storage device, capacitor bank, static var compensator, on-load tap changer, wind turbine and photovoltaic. Then, the historical data of related distributed energy are analyzed and described by the probability density function, and the minimum confidence interval is obtained by interval searching. Furthermore, via taking this minimum confidence interval as the uncertain interval, a less conservative two-stage robust optimization model is established and solved for ADN. The simulation results for the IEEE 33-bus distribution network have verified that the proposed method can realize a more stable and efficient operation of the distribution network compared with the traditional robust optimization method.

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“…where, Eq. 5is power balance constraint, and the bound constraints of decision variables of DNO are given in (6)- (9). PCL,t is the conventional load (CL) of the distribution network in time slot t and PFL,t denotes the original flexible load(i.e., the output of prosumers) of the distribution network in time slot t before DR implementation, which assumes to be known through historical data.…”

Section: ) Constraintsmentioning

confidence: 99%

“…The second method is to build a bi-level coordination architecture and realize the collaborative optimization among different entities through electricity prices. For example, a bi-level framework is built for interactive dispatching between active distribution network and virtual micro-grid based on the analytical target cascading method [9]. Similarly, a bi-level scheduling framework is presented in [10] for optimal decision making of microgrid (MG) and battery swapping stations.…”

Section: Introductionmentioning

confidence: 99%

Distributed Optimal Dispatching of Multi-Entity Distribution Network With Demand Response and Edge Computing

Wang

Peng

2020

IEEE Access

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With large-scale penetrations of distributed generation (DG) and flexible loads, there will be multiple entities in traditional distribution network, such as distribution network operator (DNO), DG owner, and prosumers. Aiming at the collaborative optimization problem of distribution network among multiple entities, a distributed optimal scheduling approach of distribution network considering demand response and edge computing is proposed in this paper. Firstly, the virtual region decomposition method is proposed to divide the original distribution network into multiple regions according to different entities, and the bi-level optimization framework based on edge computing is constructed. Secondly, the optimal models of DNO, DG owner, and prosumers are established respectively, and the distributed optimal scheduling approach of distribution network with collaboration of control center and edge nodes is proposed. Then, the KKT conditions are adopted to realize the transformation of optimal models of DG owner and prosumers. Finally, the proposed distributed optimization scheduling approach is verified based on the modified IEEE33-node system. The results show that the proposed distributed optimal scheduling method can achieve better collaborative optimization among different entities in distribution network compared with the centralized optimization method. INDEX TERMS Demand response, edge computing, distributed optimization, KKT transformation, optimal dispatching.

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A Bi-Level Linearized Dispatching Model of Active Distribution Network With Multi-Stakeholder Participation Based on Analytical Target Cascading

Cited by 19 publications

References 34 publications

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

A coordinated approach of multi‐energy system considering the off‐design characteristics of the devices in energy hub

Robust Optimal Operation of Active Distribution Network Based on Minimum Confidence Interval of Distributed Energy Beta Distribution

Distributed Optimal Dispatching of Multi-Entity Distribution Network With Demand Response and Edge Computing

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