A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems

Yao, Weifeng; Zhao, Junhua; Wen, Fushuan; Dong, Zhaoyang; Xue, Yusheng; Xu, Yan; Meng, Ke

doi:10.1109/tpwrs.2013.2296615

Cited by 350 publications

(174 citation statements)

References 27 publications

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“…Locations and sizes of new substations [26,29,30,32,36,38,54,55,58,66,80,85,89] Sizes of existing substations for reinforcement [24,26,27,29,32,34,36,38 …”

Section: Traditional Variablesmentioning

confidence: 99%

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A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Wang

Chen³

et al. 2017

Energies

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Due to the widespread deployment of distributed energy resources (DERs) and the liberalization of electricity market, traditional distribution networks are undergoing a transition to active distribution systems (ADSs), and the traditional deterministic planning methods have become unsuitable under the high penetration of DERs. Aiming to develop appropriate models and methodologies for the planning of ADSs, the key features of ADS planning problem are analyzed from the different perspectives, such as the allocation of DGs and ESS, coupling of operation and planning, and high-level uncertainties. Based on these analyses, this comprehensive literature review summarizes the latest research and development associated with ADS planning. The planning models and methods proposed in these research works are analyzed and categorized from different perspectives including objectives, decision variables, constraint conditions, and solving algorithms. The key theoretical issues and challenges of ADS planning are extracted and discussed. Meanwhile, emphasis is also given to the suitable suggestions to deal with these abovementioned issues based on the available literature and comparisons between them. Finally, several important research prospects are recommended for further research in ADS planning field, such as planning with multiple micro-grids (MGs), collaborative planning between ADSs and information communication system (ICS), and planning from different perspectives of multi-stakeholders.

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“…Locations and sizes of new substations [26,29,30,32,36,38,54,55,58,66,80,85,89] Sizes of existing substations for reinforcement [24,26,27,29,32,34,36,38 …”

Section: Traditional Variablesmentioning

confidence: 99%

“…Different from these two references, the allocation of EVs charging station is integrated into ADS planning model in [54,55,80,82,85]. Among them, authors in [54,80,82,85] introduce the traffic flow index into the proposed planning models to present the convenience of charging service.…”

Section: Integration Of Esss and Drmentioning

confidence: 99%

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

Wang

Chen³

et al. 2017

Energies

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“…2) Electric vehicle constraints. These include the capacity constraint of EV batteries, the charging power constraints of EVs, and the V2G power constraints [89,90]. 3) Traffic network constraints.…”

Section: Constraintsmentioning

confidence: 99%

A comprehensive review of Energy Internet: basic concept, operation and planning methods, and research prospects

Cao

Tan

et al. 2017

J. Mod. Power Syst. Clean Energy

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With the intensifying energy crisis and environmental pollution, the Energy Internet and corresponding patterns of energy use have been attracting more and more attention. In this paper, the basic concept and characteristics of the Energy Internet are summarized, and its basic structural framework is analyzed in detail. On this basis, couplings between the electric power system and other systems such as the cooling and heating system, the natural gas system, and the traffic system are analyzed, and the operation and planning of integrated energy systems in both deterministic and uncertain environments are comprehensively reviewed. Finally, the research prospects and main technical challenges of the Energy Internet are discussed.

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“…Electric vehicles model to address budget limitations and to maximize the number of people who can complete round-trip itineraries. Yao et al [36] developed a multi-objective collaborative planning strategy to address the optimal planning issue in integrated power distribution and EV charging systems, in which the overall annual cost of investment and energy losses are minimized simultaneously with maximization of the annual traffic flow captured by fast charging stations (FCSs). An equilibrium-based traffic assignment model and decomposition-based multi-objective evolutionary algorithm were developed for obtaining the optimal solution.…”

Section: Introductionmentioning

confidence: 99%

Optimal Siting of Charging Stations for Electric Vehicles Based on Fuzzy Delphi and Hybrid Multi-Criteria Decision Making Approaches from an Extended Sustainability Perspective

Zhao

2016

Energies

124

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Optimal siting of electric vehicle charging stations (EVCSs) is crucial to the sustainable development of electric vehicle systems. Considering the defects of previous heuristic optimization models in tackling subjective factors, this paper employs a multi-criteria decision-making (MCDM) framework to address the issue of EVCS siting. The initial criteria for optimal EVCS siting are selected from extended sustainability theory, and the vital sub-criteria are further determined by using a fuzzy Delphi method (FDM), which consists of four pillars: economy, society, environment and technology perspectives. To tolerate vagueness and ambiguity of subjective factors and human judgment, a fuzzy Grey relation analysis (GRA)-VIKOR method is employed to determine the optimal EVCS site, which also improves the conventional aggregating function of fuzzy Vlsekriterijumska Optimizacijia I Kompromisno Resenje (VIKOR). Moreover, to integrate the subjective opinions as well as objective information, experts' ratings and Shannon entropy method are employed to determine combination weights. Then, the applicability of proposed framework is demonstrated by an empirical study of five EVCS site alternatives in Tianjin. The results show that A3 is selected as the optimal site for EVCS, and sub-criteria affiliated with environment obtain much more attentions than that of other sub-criteria. Moreover, sensitivity analysis indicates the selection results remains stable no matter how sub-criteria weights are changed, which verifies the robustness and effectiveness of proposed model and evaluation results. This study provides a comprehensive and effective method for optimal siting of EVCS and also innovates the weights determination and distance calculation for conventional fuzzy VIKOR.

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A Multi-Objective Collaborative Planning Strategy for Integrated Power Distribution and Electric Vehicle Charging Systems

Cited by 350 publications

References 27 publications

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches

A comprehensive review of Energy Internet: basic concept, operation and planning methods, and research prospects

Optimal Siting of Charging Stations for Electric Vehicles Based on Fuzzy Delphi and Hybrid Multi-Criteria Decision Making Approaches from an Extended Sustainability Perspective

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