Multi-Period Integrated Framework of Generation, Transmission, and Natural Gas Grid Expansion Planning for Large-Scale Systems

Barati, Fatemeh; Seifi, Hossein; Sepasian, Mohammad Sadegh; Nateghi, Abolfazl; Shafie‐khah, Miadreza

doi:10.1109/tpwrs.2014.2365705

Cited by 136 publications

(78 citation statements)

References 31 publications

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“…CL AIR = η AIR P AIR (9) As is shown in Equations (5)-(7), there are many nonlinear elements (v · P GAS ), so in order to simplify model and reduce the computational burden, we make reasonable approximations and assumptions. The dispatch factor v is assumed to be constant.…”

Section: Matrix Modeling Of Energy Hubmentioning

confidence: 99%

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: Matrix Modeling Of Energy Hubmentioning

confidence: 99%

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

et al. 2017

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“…Thus, an integrated modeling approach, including both kinds of expansion problems, is needed and has already been investigated with a large number of approaches. Recently developed methods explicitly incorporate RESs, such as wind energy and the natural gas pipeline system . Existing approaches that deal with real‐world energy‐system problems are, however, facing the challenges of the high complexity levels of the investigated system.…”

Section: Challenges Of Modeling Electricity Network In Energy‐systemmentioning

confidence: 99%

Meeting the Modeling Needs of Future Energy Systems

et al. 2017

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Structural changes in the energy sector have created considerable challenges for regulators, energy consumers, and suppliers. Energy researchers rely on quantitative modeling approaches to address these challenges. At the Karlsruhe Institute of Technology, we have developed several models to analyze today's and the future's energy markets to address the challenges for electricity networks as a result of intermittent renewable and decentralized power and heat supply and to find solutions for integrating demand response. This paper presents a survey of these approaches and discusses further challenges. The developed models have proved to be suitable for answering a range of research questions related to structural changes. As the energy sector remains in a constant state of flux, these models need to be further developed. This means coupling different energy sectors and markets and improving their technical accuracy as well as their spatial and temporal resolutions.

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“…Along this line, a comprehensive survey on theoretical and practical advancements in transmission investment and planning methodologies, from both an economic and an engineering point of view, is reported in [3]. Some of the most relevant issues that are currently being tackled include: determining efficient methods for combined transmission/generation expansion [4], accounting for impact of large-scale wind integration under uncertainties [5,6], and developing new investment paradigms for transmission expansion in deregulated power markets [7,8,9].…”

Section: Introductionmentioning

confidence: 99%

Ex-ante dynamic network tariffs for transmission cost recovery

Savelli

Paola

2020

Applied Energy

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This paper proposes a novel tariff scheme and a new optimization framework in order to address the recovery of fixed investment costs in transmission network planning, particularly against rising demand elasticity. At the moment, ex-post network tariffs are utilized in addition to congestion revenues to fully recover network costs, which often leads to over/under fixed cost recovery, thus increasing the investment risk. Furthermore, in the case of agents with elastic market curves, ex-post tariffs can cause several inefficiencies, such as mistrustful bidding to exploit ex-post schemes, imperfect information in applied costs and cleared quantities, and negative surplus for marginal generators and consumers. These problems are exacerbated by the increasing price-elasticity of demand, caused for example by the diffusion of demand response technologies. To address these issues, we design a dynamic ex-ante tariff scheme that explicitly accounts for the effect of tariffs in the longterm network planning problem and in the underlying market clearing process. Using linearization techniques and a novel reformulation of the congestion rent, the long-term network planning problem is reformulated as a single mixed-integer linear problem which returns the combined optimal values of network expansion and associated tariffs, while accounting for price-elastic agents and lumpy investments. The advantages of the proposed approach in terms of cost recovery, market equilibrium and increased social welfare are discussed qualitatively and are validated in numerical case studies. y b τ d t,m,i,k it replaces the product b τ m,i d t,k y b τ g t,m,i,p it replaces the product b τ m,i g t,p

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Multi-Period Integrated Framework of Generation, Transmission, and Natural Gas Grid Expansion Planning for Large-Scale Systems

Cited by 136 publications

References 31 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

Meeting the Modeling Needs of Future Energy Systems

Ex-ante dynamic network tariffs for transmission cost recovery

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