A Holistic Approach for Planning Natural Gas and Electricity Distribution Networks

Saldarriaga, Carlos A.; Isaza, Ricardo Alberto Hincapié; Salazar, Harold

doi:10.1109/tpwrs.2013.2268859

Cited by 130 publications

(30 citation statements)

References 34 publications

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“…The average VOLL of electricity, cooling, and heating load is fixed at $30, $15, and $10/kWh, respectively. In fact, an average EVOLL of 30 $/kWh for all the electricity load shedding in these example is relatively low compared with some large commercial and industrial customers (usually is in a range of 20-100 $/kWh) [6].…”

Section: Systems With Three Energy Hubsmentioning

confidence: 88%

Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs

et al. 2017

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Abstract:In a carbon-constrained world, natural gas with low emission intensity plays an important role in the energy consumption area. Energy consumers and distribution networks are linked via energy hubs. Meanwhile, reconfiguration that optimizes operational performance while maintaining a radial network topology is a worldwide technique in the electricity distribution system. To improve the overall efficiency of energy infrastructure, the expansion of electricity distribution lines and elements within energy hubs should be co-planned. In this paper, the co-planning process is modeled as a mixed integer quadratic programming problem to handle conflicting objectives simultaneously. We propose a novel model to identify the optimal co-expansion plan in terms of total cost. Operational factors including energy storages and reconfiguration are considered within the systems to serve electricity, cooling and heating loads. Reconfiguration and elements in energy hubs can avoid or defer new elements' installation to minimize the investment cost, maintenance cost, operation cost, and interruption cost in the planning horizon. The proposed co-planning approach is verified on 3 and 12-node electricity and natural gas distribution systems coupled via energy hubs. Numerical results show the ability of our proposed expansion co-planning approach based on energy hub in meeting energy demand.

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Section: Systems With Three Energy Hubsmentioning

confidence: 88%

Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs

et al. 2017

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“…An extended work of a previous paper in the presence of renewable energies has been presented. 22 An expansion planning model of an electricity and natural gas distribution system with high penetration of gas-fired generation is presented in Saldarriaga et al 23 Numerical results show that a holistic approach reduces the expansion cost of both electrical and natural gas networks. The research of both generation expansion and reactive power planning concurrently can be subjected as a new research topic which requires an exceptionally huge computational effort as stated in Seifi and Sepasian.…”

Section: Introductionmentioning

confidence: 99%

Reliability‐constrained optimal design of multicarrier microgrid

Amir

Azimian

Razavizadeh

2019

Int Trans Electr Energ Syst

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Summary The unprecedented penetration of distributed generation in distribution energy networks provides utilities with a unique opportunity to manage portions of networks as microgrids (MGs). The implementation of an MG may offer many benefits, such as capital investments deferral, reduction of greenhouse gas emissions, improvement in reliability, and reduction in network losses. Future energy networks will contain various forms of energy which are acquired by mixing several sources and energy storages in the concept called multicarrier microgrid (MCMG). In order to draw the most effective performance from MCMG systems, appropriate design and operation are essential. This paper represents a compound co‐optimization strategy to find the best type and size of components and the associated optimum dispatch in a grid‐tied community MCMG implementing reliability criteria. Here, the required level of reliability is handled within the optimization process to fulfill multiple demands. The mixed‐integer nonlinear programming (MINLP) technique of general algebraic modeling system (GAMS) and the genetic algorithm of MATLAB software are utilized to solve the co‐optimization problem. Additionally, a contemporary time‐based demand response program is modeled to reshape the load curve, as well as prevent the undue use of energy in peak hours. Eventually, the proposed strategy is applied to a test case to select the best components while respecting reliability restrictions. Numerical simulations prove the effectiveness of the proposed expansion planning.

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“…In Reference [13], a novel expansion co-planning framework is developed in a combined energy market which takes into account the market uncertainty and demand response impacts.However, although a wide range of studies on gas and electricity systems integration at bulk generation and transmission levels are available in the literature, a few works have been dedicated to planning and operation studies of such integrated energy systems at distribution level. Nonetheless, high penetration of natural gas-based distributed generation (DG) units in distribution networks calls for more interdependent gas and electricity distribution systems (especially in fast-growing economies) [14]. A detailed discussion on the importance of collaborative gas and electricity distribution systems studies in real-life problems can be found in Reference [14], where a mixed-integer nonlinear programming (MINLP) model is derived for co-expansion planning studies of integrated distribution networks.…”

mentioning

confidence: 99%

“…Nonetheless, high penetration of natural gas-based distributed generation (DG) units in distribution networks calls for more interdependent gas and electricity distribution systems (especially in fast-growing economies) [14]. A detailed discussion on the importance of collaborative gas and electricity distribution systems studies in real-life problems can be found in Reference [14], where a mixed-integer nonlinear programming (MINLP) model is derived for co-expansion planning studies of integrated distribution networks. However, gas consumption of DG units is considered as the only interaction between the electricity and natural gas networks.…”

mentioning

confidence: 99%

Multistage Expansion Co-Planning of Integrated Natural Gas and Electricity Distribution Systems

et al. 2019

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This paper focuses on expansion co-planning studies of natural gas and electricity distribution systems. The aim is to develop a mixed-integer linear programming (MILP) model for such problems to guarantee the finite convergence to optimality. To this end, at first the interconnection of electricity and natural gas networks at demand nodes is modelled by the concept of energy hub (EH). Then, mathematical model of expansion studies associated with the natural gas, electricity and EHs are extracted. The optimization models of these three expansion studies incorporate investment and operation costs. Based on these separate planning problems, which are all in the form of mixed-integer nonlinear programming (MINLP), joint expansion model of multi-carrier energy distribution system is attained and linearized to form a MILP optimization formulation. The presented optimization framework is illustratively applied to an energy distribution network and the results are discussed.

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A Holistic Approach for Planning Natural Gas and Electricity Distribution Networks

Cited by 130 publications

References 34 publications

Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs

Optimal Expansion Co-Planning of Reconfigurable Electricity and Natural Gas Distribution Systems Incorporating Energy Hubs

Reliability‐constrained optimal design of multicarrier microgrid

Multistage Expansion Co-Planning of Integrated Natural Gas and Electricity Distribution Systems

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