Bi-Level Decomposition Approach for Coordinated Planning of an Energy Hub With Gas-Electricity Integrated Systems

Ghasemi, Hosein; Aghaei, Jamshid; Gharehpetian, Gevork B.; Shafie‐khah, Miadreza; Catalão, João P.S.

doi:10.1109/jsyst.2021.3126592

Cited by 18 publications

(4 citation statements)

References 29 publications

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“…This will help making active distribution grid planning of realistic distribution grids feasible in practice. Along this line, the authors in [15] implemented a bi-level decoupled planning approach. At the lower level, the energy hubs optimization problem is solved, and at the higher level, the expansion of the electricity and gas network is planned.…”

Section: Lec Operatormentioning

confidence: 99%

Economic Assessment of Integrating Fast-Charging Stations and Energy Communities in Grid Planning

Rana¹,

Sperstad²,

Torsæter³

et al. 2022

Preprint

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<p>Distribution grid companies and distribution system operators (DSOs) still mostly follow a traditional framework for grid planning. Such frameworks have so far served DSOs well in the economic assessment and cost-benefit analysis of passive measures, such as grid reinforcement. However, the development towards active distribution grids requires DSOs to also be able to assess an extended set of active measures. To this aim, this paper extends and implements a general planning framework for active distribution grids that builds upon the well-proven traditional framework. The methodology integrated in the framework includes: 1) decoupled models for i) operation with active measures and ii) optimal grid investment, and 2) methods for economic assessment considering active measures from both i) a DSO cost-benefit analysis perspective and ii) a willingness-to-pay perspective. In this paper, operational models are integrated for two examples of active measures, namely the use of fast-charging stations (FCS) and local energy communities (LEC). The methodology is demonstrated in a long-term grid planning case study for a realistic Norwegian medium voltage distribution system. For this case, grid planning with FCS as an active measure reduces the present value of grid investment costs by 70% compared with a passive grid planning strategy. The results also demonstrate how the methodology can be used in negotiating the price of active measures between the DSO and distribution system actors such as LEC and FCS operators.</p>

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Section: Lec Operatormentioning

confidence: 99%

Economic Assessment of Integrating Fast-Charging Stations and Energy Communities in Grid Planning

Rana¹,

Sperstad²,

Torsæter³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Step-by-step active distribution grid planning frameworks have been developed in [1], [2]. The active grid planning process has also been formulated as mixed-integer linear programming problems, where the optimization results in multi-stage plans [3]- [8]. Our previous work [9] applied a similar approach, performing an economic assessment of active measures such as LECs and FCSs as well as passive measures.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Evaluating Grid Development Strategies Considering Real Options and Risks

Sperstad

Rana

Sandell

2023

2023 IEEE Belgrade PowerTech

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Traditional power grid planning is based on passive measures such as reinforcing the grid and using present value to compare different grid development plans. However, this approach does not accurately describe the real options value of using active measures, such as energy storage or demandside load shifting, for postponing grid reinforcement through a "wait-and-see" approach to handle uncertainty in long-term load growth. However, the value of using active measures may come at the price of reducing the security margins in grid operation. This leads to an increased risk of problems during grid operation, and this risk must be weighed against the value of using active measures. This paper presents a methodology for quantifying both the value and risk (or price) of real options related to grid development strategies using active measures, providing grid planners with more comprehensive information about the advantages and disadvantages. The methodology is demonstrated using an illustrative and simple case for a medium voltage reference distribution system, where flexibility from local energy communities is considered as an example of an active measure. The case study illustrates how some risk-taking is required to realize the value from using active measures.

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“…In Zou et al, 26 an EH planning problem is proposed in which the upper level optimized the capacity of energy equipment, and the lower level optimized the combination of each energy carrier. In Ghasemi et al, 27 a multistage planning is proposed to determine the investment candidates with the best capacity for the equipment of integrated system. To solve the problem, the authors developed an MILP model and bi‐level decomposition approach.…”

Section: Introductionmentioning

confidence: 99%

Bi‐level optimization of the integrated energy systems in the deregulated energy markets considering the prediction of uncertain parameters and price‐based demand response program

Toolabi

Soheyli

Sanei

et al. 2022

Energy Science & Engineering

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The proliferation of multienergy systems (MESs) in recent years has led to the higher efficiency of energy consumption in different sectors. MESs are generally studied in the context of energy hubs (EHs). Most of the previous works in the field of EH operation and scheduling are at the scale of residential households or communities. There is a research gap in proposing a framework in which the EH actively interacts with different energy networks. This article, however, is focused on the optimal operation and scheduling of the EH and two integrated energy grids such as power and heat distribution systems. The EH consists of combined heat and power (CHP), electric heat pump (EHP), thermal and electric energy storage systems, which are operated by an independent entity. The proposed optimization problem is based on the bi-level optimization method in which the EH is the leader and two networks are the followers. Nonlinear variables are also linearized using binary expansion and Big M methods. As another research novelty, uncertainties of load demand and photovoltaic (PV) systems' output power are taken into account using a mixed machine learning (ML)-based forecasting method. To enhance the flexibility of the system, a price-based demand response (DR) program is proposed based on the predicted load pattern of the mixed ML method. Simulation results show the efficiency of the optimization model. Also, the DR program has a significant impact on the system's cost by 40% improvement in the profit of the system.

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Bi-Level Decomposition Approach for Coordinated Planning of an Energy Hub With Gas-Electricity Integrated Systems

Cited by 18 publications

References 29 publications

Economic Assessment of Integrating Fast-Charging Stations and Energy Communities in Grid Planning

Economic Assessment of Integrating Fast-Charging Stations and Energy Communities in Grid Planning

Methodology for Evaluating Grid Development Strategies Considering Real Options and Risks

Bi‐level optimization of the integrated energy systems in the deregulated energy markets considering the prediction of uncertain parameters and price‐based demand response program

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