Assessing the Potential of Network Reconfiguration to Improve Distributed Generation Hosting Capacity in Active Distribution Systems

Capitanescu, Florin; Ochoa, Luis F.; Margossian, Harag; Hatziargyriou, Nikos D.

doi:10.1109/tpwrs.2014.2320895

Cited by 324 publications

(220 citation statements)

References 35 publications

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“…These results are produced under the same conditions as for results shown in Table 3, and they confirm the suggestion of [16] related to the potential of network reconfiguration to increase DG penetration. In this particular case the optimal network configuration gives 1.03 MW more than in case the system is operated in usual configuration.…”

Section: Results For Ieee 33-bus and Rl Systemssupporting

confidence: 82%

“…Item 3 ensures simplicity of the overall procedure by relying on an existing power flow tool (used as repeated power flow computation) to identify sterilizing substations and compute the maximum generation amount in the remaining ones. Item 4 implies running optimal network reconfiguration for active power losses reduction [15] since it has potential to increase system capacity [16].…”

Section: Gcan Computationmentioning

confidence: 99%

“…Many algorithms were proposed for optimal network reconfiguration [15,16]. Through extensive testing of different algorithms we found that the heuristic one of [15] is particularly useful based on its simplicity and ability to attain the solution comparable with more sophisticated algorithms.…”

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

“…5), the IEEE 33-bus test system (Fig. 6) [16], and a real-life subsystem of ORES termed here as RL system (Fig. 7).…”

Section: Test Systemsmentioning

confidence: 99%

See 3 more Smart Citations

Global capacity announcement of electrical distribution systems: A pragmatic approach

Cornélusse

Vangulick²,

Glavić

et al. 2015

Sustainable Energy, Grids and Networks

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a b s t r a c tWe propose a pragmatic procedure to facilitate the connection process of Distributed Generation (DG) with reference to the European regulatory framework where Distribution System Operators (DSOs) are, except in specific cases, not allowed to own their generation. The procedure is termed Global Capacity ANnouncement (GCAN) and is intended to compute the estimates of maximum generation connection amount at appropriate substations in a distribution system, to help generation connection decisions. The pragmatism of the proposed procedure stems from its reliance on the tools that are routinely used in distribution systems planning and operation, and their use such that the possibilities of network sterilization are avoided. The tools involved include: long-term load forecasting, longterm planning of network extension/reinforcement, network reconfiguration, and power flow. Network sterilizing substations are identified through repeated power flow computations. The proposed procedure is supported by results using an artificially created 5-bus test system, the IEEE 33-bus test system, and a part of real-life distribution system of ORES (a Belgian DSO serving a large portion of the Walloon region in Belgium).

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Section: Results For Ieee 33-bus and Rl Systemssupporting

confidence: 82%

Section: Gcan Computationmentioning

confidence: 99%

Section: Optimal Network Reconfigurationmentioning

confidence: 99%

“…5), the IEEE 33-bus test system (Fig. 6) [16], and a real-life subsystem of ORES termed here as RL system (Fig. 7).…”

Section: Test Systemsmentioning

confidence: 99%

See 2 more Smart Citations

Global capacity announcement of electrical distribution systems: A pragmatic approach

Cornélusse

Vangulick²,

Glavić

et al. 2015

Sustainable Energy, Grids and Networks

View full text Add to dashboard Cite

show abstract

“…With the increasing penetration of renewable energy resources (RES) in distribution networks, how to utilize the random and volatile power has become a critical part of emerging smart grid designs [1]. In order to eliminate the negative impact of RES, the microgrid (MG) is considered to be a possible solution.…”

Section: Introductionmentioning

confidence: 99%

Multi-Party Optimal Operation for Distribution Networks Containing DC-Linked Microgrids: Integrated Network Reconfigurations and Energy Sharing

Liu

Guo

2017

Applied Sciences

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Abstract:With the development of Microgrids (MG) in distribution networks, how to coordinate the reconfiguration of distribution networks with the energy sharing of Direct Current (DC)-linked multi-MG is an unsolved problem. In this paper, a multi-party optimization framework is proposed, the involving parties include the Distribution Network Operator (DNO), the Multi-MG Coalition Operator (MCO), and the MG operator. For the DC-linked MGs, the MCO is obligated to coordinate the energy sharing, a stochastic optimal scheduling model for the MG coalition is formulated, considering the uncertainties of Photovoltaic (PV), Wind Turbines (WT), and load power. Moreover, a billing mechanism is designed to distribute the cost of each MG participated in the energy sharing. For the distribution network, an event triggered dynamic reconfiguration model is proposed. Based on the scheduling results of MCO, the decisions of switch operations are finally co-decided by the expected exchanging power of the MGs and the real-time errors caused by uncertainty factors. Finally, a modified IEEE-33 nodes distribution system are used to test and verify the effectiveness of the method.

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Optimal management of static volt‐ampere‐reactive devices and distributed generations with reconfiguration capability in active distribution networks

Shaheen

Elsayed

El‐Sehiemy

et al. 2021

Int Trans Electr Energ Syst

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Summary Recently, power system planners and operators are of interest to maximize distribution automation investments. Optimal operation of control centers of fully automated distribution systems enables it to control all switches as well as dispatching connected controllable apparatuses. Most previously enhanced distribution systems, which include additional enhancement apparatuses, such as distribution static VAr compensators, capacitor banks, and distributed generators, cannot take advantage of the features of these apparatuses because there is no efficient and reliable control. Accordingly, this article presents a robust and efficient technique using Manta ray foraging optimization algorithm (MRFOA) for optimal coordination and control of such apparatuses as well as distribution network reconfiguration simultaneously. The proposed procedure is employed for the dynamic operation of automated distribution systems, considering daily load variations, for losses minimization and emissions reduction with diverse cases of both the 33‐bus and 69‐bus distribution test systems. To manifest, these cases are developed to validate the proposed technique and to achieve optimum control and operation of the distribution systems. Despite the complexity of this problem, the proposed technique can achieve the optimal solution for the various considered cases. As well, the comparative assessment of the proposed MRFOA with relevant techniques demonstrates its effectiveness as an effective tool used in the control centers of modern automated distribution systems. One of the most complex challenges to distribution systems operators in the practical daily load variations is the control and optimal operation of the associated dispatchable enhancement apparatuses such as DGs and DSVCs. The DNR makes the utilization and control of such aforementioned enhancement apparatuses more feasible for distribution systems, but this is in return for increasing the complexity of the problem. Significant technical and environmental benefits have been achieved. Great power losses reduction (about 80%) and voltage enhancement are achieved using the MRFOA. In addition, the emission levels are kept at the lowest levels.

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Assessing the Potential of Network Reconfiguration to Improve Distributed Generation Hosting Capacity in Active Distribution Systems

Cited by 324 publications

References 35 publications

Global capacity announcement of electrical distribution systems: A pragmatic approach

Global capacity announcement of electrical distribution systems: A pragmatic approach

Multi-Party Optimal Operation for Distribution Networks Containing DC-Linked Microgrids: Integrated Network Reconfigurations and Energy Sharing

Optimal management of static volt‐ampere‐reactive devices and distributed generations with reconfiguration capability in active distribution networks

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