Bi-Level Distribution Network Planning Integrated with Energy Storage to PV-Connected Network

Ashoornezhad, Ali; Falaghi, Hamid; Yousefi, Mojtaba; Hajizadeh, Amin

doi:10.1109/isie45063.2020.9152508

Cited by 8 publications

(2 citation statements)

References 14 publications

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“…A stochastic riskbased method is developed in [12] for the resilient DNP problem to model the uncertainties of wind energy, demand, storm duration, and fragility of the system components. In [13], the DENP problem is considered at the MV level in the presence of BSSs and photovoltaic (PV) arrays and uncertainty of the demand. In [14], a mixed-integer second-order con programming is proposed for the DNEP problem at the MV level that tries to search for the optimal decisions for transformer and feeder upgrades and also for PV and BSS.…”

Section: Motivation and Aimmentioning

confidence: 99%

Simultaneous Planning of the Medium and Low Voltage Distribution Networks under Uncertainty: A Bi-Level Optimization Approach

Rastgou

Hosseini-Hemati

2022

International Transactions on Electrical Energy Systems

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Distribution network expansion planning (DNEP) is one of the important matters in the field of planning and operation of electrical power systems. Since many costs and losses have occurred in the distribution networks, it has increased attention towards this network. The electrical energy distribution network is divided into two parts: the medium voltage (MV) network and the low voltage (LV) network. The main problem in this field is that planning is done either only on the MV network or only on the LV network. While planning in each of these networks has a significant effect on the other networks, this important case has not been considered in most research studies. Therefore, this study has tried to do integrated planning in the form of a bi-level model in the presence of different types of distributed generations (DGs) and consider the uncertainties of renewable sources and load demand in both MV and LV networks so that the planning and operation costs are minimized. In the proposed bi-level model, the upper-level section aims to minimize the investment and the operation cost of the MV network, and the lower-level problem minimizes the investment and the operation cost of the LV network considering the DGs and pollution emission. The obtained results show the effectiveness of the proposed model.

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Section: Motivation and Aimmentioning

confidence: 99%

Simultaneous Planning of the Medium and Low Voltage Distribution Networks under Uncertainty: A Bi-Level Optimization Approach

Rastgou

Hosseini-Hemati

2022

International Transactions on Electrical Energy Systems

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“…3 In traditional DNEP problems, the government and DISCO suffer from a high financial burden to provide a safe and secure network for fulfilling consumers' needs over the horizon planning. 4 Distributed generations (DGs) are alternative solutions to produce energy close to the end-users to avoid investing in the mention sectors as they can connect both the low-voltage and medium-voltage systems. 5,6 Many countries have enacted incentive policies to encourage private investors (PIs) to participate in the investing and operating of RERs.…”

mentioning

confidence: 99%

A two‐stage multi‐period distribution network expansion planning considering the integration of private investors

Ashoornezhad

Falaghi

Hajizadeh

et al. 2021

Int Trans Electr Energ Syst

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In recent years, the emerging of renewable energy resources (RERs) in distribution networks has been rapidly raised by network planners. Although the integration of RERs brings a lot of advantages to distribution networks, they impose some disadvantages such as high initial capital investment on distribution companies (DISCO). This paper proposes a new two‐stage multi‐period distribution network expansion planning (DNEP), in which the potential of private investor's (PIs) participation is considered in the problem. In the proposed model, the planner presents an incentive price to buy energy from PIs so that it attracts them to participate in the planning projects. This incorporation is based on a long‐term contract that guarantees the benefits of both contract correspondents. The proposed model is presented as a hierarchical two‐stage optimization problem where the upper stage determines the general structure of the system and the lower level considers the operational conditions. Moreover, the photovoltaic plants (PVs) and energy storage systems (ESSs) are investigated as clean and new technologies in the planning, and DISCO determines the optimal sizing and sitting of these resources regarding technical and economical assessments. The fuzzy clustering method (FCM) is used to capture the intermittency of the system loads and solar irradiance by creating a day‐ahead scheme. The effectiveness of the proposed DNEP problem is evaluated through a 54‐bus distribution test system and a real 104‐bus test system as well. Simulation and economic results show that how PIs can play an important role in long‐term planning by investing RERs.

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Cloud-edge based distributed optimization operation model of park integrated energy

Wang

Líu

Dong

et al. 2021

2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE)

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Bi-Level Distribution Network Planning Integrated with Energy Storage to PV-Connected Network

Cited by 8 publications

References 14 publications

Simultaneous Planning of the Medium and Low Voltage Distribution Networks under Uncertainty: A Bi-Level Optimization Approach

Simultaneous Planning of the Medium and Low Voltage Distribution Networks under Uncertainty: A Bi-Level Optimization Approach

A two‐stage multi‐period distribution network expansion planning considering the integration of private investors

Cloud-edge based distributed optimization operation model of park integrated energy

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