On the control of main substations between transmission and distribution systems

Gabash, Aouss; Li, Pu

doi:10.1109/eeeic.2014.6835879

Cited by 15 publications

(11 citation statements)

References 6 publications

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“…In a further study [10], the same authors discussed a flexible battery management system whereby higher profits could be achieved than with a fixed-operation strategy for the use of battery units. This topic was also explored in [11], with the goal of ensuring both practical and optimal operational strategies, which was accomplished based on consideration of a flexible A-R-OPF with a flexible on-load-tap-changer (OLTC) control system.…”

Section: Recent Developments Of Ds Planning With Esmentioning

confidence: 99%

Optimization models for distribution planning and operation

Farahani¹

2021

Preprint

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Smart grid technologies, renewables, energy storage devices and electric vehicles are going to characterize the next generation distribution systems. It is important to note that inclusion of electric vehicles and renewables, inherently due to their natural power profile, result in distribution systems having a peaky load profile with lower asset utilization factors. Optimal planning and operation of distribution systems are important aspects and should consider this changing paradigm. This thesis aims to develop new solutions for optimal planning and operation of distribution systems considering these new technologies and their implications. The thesis specifically aims to use new techniques such as complementarity in conjunction with classical optimization techniques to develop new algorithms for optimal planning and operation of distribution systems. The proposed work includes the following. Two new distribution planning algorithms are proposed that include the installation and optimal sizing of Battery Energy Storage System units in addition to traditional assets, such as feeders and transformers. It incorporates plan and asset lifetimes as a means of establishing the minimum total annualized costs of new and replacement assets, operation and maintenance, and customer interruptions. For a fair comparison, all costs reflect the current year and are annualized over a specific study period. Even though the second technique has the same base as the first method, it is a multi-objective algorithm that uses fuzzy optimization technique to handle multiple contradicting objectives that cannot be combined into a single objective as they are in different units. This method has been developed due to the lack of certainty in how to calculate customer interruption cost in literature. It was proven in both methods that Battery Energy Storage System could be a more economical option compared to expensive underground feeders. Then in order to realize Smart Radial Distribution System of the future, a real-time optimal reconfiguration algorithm is proposed, which uses a classical nonlinear optimization technique and guarantees an optimal solution in the least time. The method optimizes the system loss and is based upon a complementarity technique that transforms a set of discontinuous solution spaces into a single continuously differentiable solution space, thus enabling the use of classical nonlinear optimization techniques without resorting to heuristics. The method is tested on 33-bus and 69-bus systems and the results are better or matching the other methods available in literature while it is significantly faster.

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Section: Recent Developments Of Ds Planning With Esmentioning

confidence: 99%

Optimization models for distribution planning and operation

Farahani¹

2021

Preprint

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“…This can be achieved if a suitable number of taps is used [23]. The TR capacity is constrained in this paper as follows [2]: S1 S1.max…”

Section: B Substation Transformermentioning

confidence: 99%

“…In summary, the issue of metering bidirectional power [18] due to possible reverse active and reactive power flows [19][20][21][22] in a transformer (TR) [23] which is typically used to connect different voltage levels in power systems, as seen in Fig. 1, is of high interest and major importance for the society of power and energy systems.…”

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confidence: 99%

Variable reverse power flow-Part I: A-R-OPF with reactive power of wind stations

Gabash

2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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It has been recently shown that using battery storage systems (BSSs) to provide reactive power provision in a medium-voltage active distribution network with embedded wind stations (WSs) can lead to a huge amount of reverse power to an upstream transmission network. However, unity power factors (PFs) of WSs were assumed in those studies to analyze the potential of BSSs. Therefore, it is aimed in this paper (Part-I) with a companion paper (Part-II) to further explore the pure potential (i.e., without BSSs) of WSs considering variable reverse power flow and varying limits on PFs. We introduce a new version of the active-reactive optimal power flow (A-R-OPF) model with two distinguished features. First, the revenues of wind power are maximized considering both active and reactive power capabilities of WSs. Second, the total costs of both active and reactive energy losses in the grid are minimized. In Part-II, the potential of the model is studied through analyzing an electricity market model. Keywords-active-reactive energy losses; variable reverse power flow; varying power factors; wind power NOMENCLATURE Functions Parameters State Variables Control/Decision Variables

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“…This can be achieved if a suitable number of taps is available [31]. The TR capacity is constrained in this paper by:…”

Section: Substation Transformermentioning

confidence: 99%

“…In summary, the issue of metering bidirectional power [26] due to possible reverse active and reactive power flows [27][28][29][30] in a transformer (TR) [31] which is typically used to connect different voltage levels in power systems, as seen in Figure 1, is of high interest and major importance for the society of power and energy systems. This represents a combined technical and economical complex problem, and, therefore, more studies are required in this area.…”

Section: Figurementioning

confidence: 99%

On Variable Reverse Power Flow-Part I: Active-Reactive Optimal Power Flow with Reactive Power of Wind Stations

Gabash

2016

Energies

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It has recently been shown that using battery storage systems (BSSs) to provide reactive power provision in a medium-voltage (MV) active distribution network (ADN) with embedded wind stations (WSs) can lead to a huge amount of reverse power to an upstream transmission network (TN). However, unity power factors (PFs) of WSs were assumed in those studies to analyze the potential of BSSs. Therefore, in this paper (Part-I), we aim to further explore the pure reactive power potential of WSs (i.e.

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On the control of main substations between transmission and distribution systems

Cited by 15 publications

References 6 publications

Optimization models for distribution planning and operation

Optimization models for distribution planning and operation

Variable reverse power flow-Part I: A-R-OPF with reactive power of wind stations

On Variable Reverse Power Flow-Part I: Active-Reactive Optimal Power Flow with Reactive Power of Wind Stations

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