Strategic network expansion planning with electric vehicle smart charging concepts as investment options

Borozan, Stefan; Giannelos, Spyros; Štrbac, Goran

doi:10.1016/j.adapen.2021.100077

Cited by 46 publications

(25 citation statements)

References 39 publications

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“…[14] introduces a substation planning method that makes use of weighted Voronoi diagrams, underlining its practical applicability. In [15], the strategic and incremental approaches are compared for an investment portfolio consisting of storage and soft open point technologies, while in [16], they are compared for a portfolio of dynamic line rating technology and storage, and in [17], they are compared for a portfolio of EV-related technologies such as Vehicle to Grid and Vehicle to Building.…”

Section: Literature Reviewmentioning

confidence: 99%

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Investments in Electricity Distribution Grids: Strategic versus Incremental Planning

Giannelos,

Zhang,

Pudjianto

et al. 2024

Energies

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The ongoing electrification of the transport sector is expected to cause an increase in electricity demand and, therefore, trigger significant network investments to accommodate it. This paper focuses on investment decision-making for electricity distribution grids and specifically on the strategic and incremental investment network planning approaches. In particular, the former involves network planning with the consideration of a long-term multi-stage study horizon, as opposed to a shorter–term view of the future that applies to the latter case. An investment analysis that is carried out underlines the economic savings generated from adopting a strategic investment perspective over an incremental one. These economic savings are achieved from the fact that the associated fixed investment costs are incurred only once in the horizon under strategic planning. On the other hand, incremental planning involves a series of network reinforcement decisions, thereby incurring the fixed cost multiple times. In addition, sensitivity analyses that are carried out capture the effect of key parameters, such as investment cost, discount rate and investment delay, on the generated economic savings.

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Section: Literature Reviewmentioning

confidence: 99%

“…Comparisons of strategic and incremental approaches for different investment portfolios, such as storage technologies, dynamic line rating and EV-related technologies [15][16][17]. 4.…”

mentioning

confidence: 99%

Investments in Electricity Distribution Grids: Strategic versus Incremental Planning

Giannelos,

Zhang,

Pudjianto

et al. 2024

Energies

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“…Once its capacity is full and construction is completed, the framework utilizes its own experience replay buffer. Next, the applicability of this framework will be discussed based on three extended scenarios [33].…”

Section: B Framework Scenario Analysismentioning

confidence: 99%

Scalable Accelerated Intelligent Charging Strategy Recommendation for Electric Vehicles Based on Deep Q-Networks

Shen,

Wu,

Zhang

et al. 2024

IJACSA

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With the rapid development of electric vehicles, their charging strategies significantly impact the overall power grid. Solving the spatiotemporal scheduling problem of vehicle charging has become a hot research topic. This paper focuses on recommending suitable charging stations for electric vehicles and proposes a scalable accelerated intelligent charging strategy recommendation algorithm based on Deep Q-Networks (DQN).The strategy recommendation problem is formulated as a Markov decision process, where the continuous sequence of regional charging requests within a time slice is fed into the DQN network as the input state, enabling optimal charging strategy recommendations for each electric vehicle. The algorithm aims to maintain regional load balance while minimizing user waiting time. To enhance the algorithm's applicability, a scalable, accelerated charging strategy framework is further proposed, which incorporates information filtering and shared experience pool mechanisms to adapt to different expansion scenarios and expedite strategy iterations in new scenarios. Simulation results demonstrate that the proposed DQN-based strategy recommendation algorithm outperforms the shortest path-first strategy, and the scalable, accelerated charging strategy framework achieves a 64.3% improvement in iteration speed in new scenarios, which helps to reduce the cloud server load and saves overheads.

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“…In OECD countries, Zongo (2020) and OECD and emerging countries Zongo (2020) explored that restrictions in different sectors discouraged FDI. Borozan, Giannelos, and Strbac (2022) outlined the role of different environmental policies on FDI during 2000-2015 in BRICS and G7 countries. It concluded that environmentally friendly regulation attracted more FDI.…”

Section: Literature Reviewmentioning

confidence: 99%

Causes of Restrictiveness Policies on Foreign Direct Investment in OECD and Non-OECD Countries

Naushahi,

Kanwal,

Batool

et al. 2024

iRASD J. Eco.

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Foreign direct investment (FDI) is considered a significant tool to transform modern technologies and innovation from developed to developing countries. Unfortunately, some countries impose FDI restrictions for economic, political, and social reasons. The present study assesses the role of different restrictive policies on FDI inflows in OECD and non-OECD countries. The empirical results are estimated by using panel quantile regression (PQR) at the median quantile from 1998 to 2022. It uses the all-restrictiveness policies index and its four subtypes: equity, key foreign personnel, screening and approval, and operational restrictions; the data is extracted from the OECD database. The study concluded that all restrictiveness policy indexes and their subtypes in OECD countries propose the inverted U-shaped curve. In contrast, in non-OECD countries, it shows the U-shaped relationship to determine the FDI inflows. Furthermore, this study also examines the individual countries using the marginal effect. In OECD countries, Australia, Canada, Mexico, and New Zealand have imposed higher restrictions, which reduces the FDI, while in non-OECD countries case, China, Indonesia, Malaysia, and the Philippines imposed higher restrictions, which increased FDI inflows. This study recommends that OECD countries reduce the FDI restrictiveness policies while non-OECD countries should increase it.

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Strategic network expansion planning with electric vehicle smart charging concepts as investment options

Cited by 46 publications

References 39 publications

Investments in Electricity Distribution Grids: Strategic versus Incremental Planning

Investments in Electricity Distribution Grids: Strategic versus Incremental Planning

Scalable Accelerated Intelligent Charging Strategy Recommendation for Electric Vehicles Based on Deep Q-Networks

Causes of Restrictiveness Policies on Foreign Direct Investment in OECD and Non-OECD Countries

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