Distribution network expansion considering distributed generation and storage units using modified PSO algorithm

Sedghi, Mahdi; Golkar, Masoud Aliakbar; Haghifam, Mahmoud‐Reza

doi:10.1016/j.ijepes.2013.03.041

Cited by 117 publications

(73 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…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%

“…The planning model proposed in [66] is the only one involving seven decision variables to satisfy load growth, including optimal reinforcement of existing feeders and substations, or installation new ones, locations of reserve feeders, and optimal locations and sizes of DDGs and RDGs. In [32], the optimal allocations of ESSs and DDGs are integrated into distribution network expansion planning model and serve as the decision variables together with the planning of existing feeders, substations and new ones. In the process of planning, the roles of ESSs are taken into consideration including peak load shaving and reliability improvement.…”

Section: Planning Objectivesmentioning

confidence: 99%

See 1 more Smart Citation

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

Wang

Chen³

et al. 2017

Energies

View full text Add to dashboard Cite

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.

show abstract

“…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%

Section: Planning Objectivesmentioning

confidence: 99%

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

Wang

Chen³

et al. 2017

Energies

View full text Add to dashboard Cite

show abstract

“…However, the actual maximum solar irradiance will be achieved below 800 W/m 2 since PV module temperature and ambient temperature under Malaysia climate condition will contribute to the deterioration of measured value [31]. In order to avoid large variations in solar electricity production, it is necessary to include energy storage and releasing it in peak consumption periods for bringing very short fluctuations and for maintaining the continuity of power supply [32]. In Malaysia, apart from the back-up power supply, energy storage is an entirely new concept for peak load shaving in the commercial and industrial sector.…”

Section: Grid-tied Solar Pv Systemmentioning

confidence: 99%

Grid-Tied Photovoltaic and Battery Storage Systems with Malaysian Electricity Tariff—A Review on Maximum Demand Shaving

et al. 2017

View full text Add to dashboard Cite

Under the current energy sector framework of electricity tariff in Malaysia, commercial and industrial customers are required to pay the maximum demand (MD) charge apart from the net consumption charges every month. The maximum demand charge will contribute up to 20% of the electricity bill, and will hence result in commercial and industrial customers focussing on alternative energy supply to minimize the billing cost. This paper aims to review the technical assessment methods of a grid-connected solar photovoltaic (PV)-battery storage system-with respect to maximum demand shaving. An effective battery storage system can provide the extra energy needed during the peak energy consumption periods, as well as when renewable energy (RE) sources go offline. Based on the reviews, maximum demand shaving with good Return-of-Investment (ROI) can be achieved by considering the actual load profile, technical, and economic aspects of the solar PV-battery system and the Malaysian electricity tariff for commercial and industrial customers.

show abstract

“…Therefore, the influence of different configurations of the installed size and sites on system reliability must be analyzed. Most studies on the allocation of energy storage are mainly focused on two aspects: (1) the sizing configuration of energy storage [2][3][4][5][6][7] and (2) the siting allocation of the energy storage [8][9][10][11][12][13]. For the studies on the capacity configuration of energy storage, the optimization configuration of the installed…”

Section: Introductionmentioning

confidence: 99%

Bi-Level Programming Approach for the Optimal Allocation of Energy Storage Systems in Distribution Networks

Shi

Luo

2017

Applied Sciences

View full text Add to dashboard Cite

Low-CO 2 -emission wind generation can alleviate the world energy crisis, but intermittent wind generation influences the reliability of power systems. Energy storage might smooth the wind power fluctuations and effectively improve system reliability. The contribution of energy storage to system reliability cannot be comprehensively assessed by the installed capacity of energy storage. The primary goal of this paper is to investigate the impact of the installed location and capacity of energy storage on power system reliability. Based on a bi-level programming approach, this paper presents a bi-level energy storage programming configuration model for energy storage capacity and location configuration. For upper-level optimization, a depth search method is utilized to obtain the optimal installed location of energy storage. For the lower-level optimization, the optimal capacity of energy storage is solved to meet the system reliability requirements. The influence of the contribution of energy storage location to system reliability is analyzed. The proposed model and method are demonstrated using the RBTS-Bus6 System and Nanao (NA) island distribution system in China. The results show the effectiveness and practicability of the proposed model and method.

show abstract

Distribution network expansion considering distributed generation and storage units using modified PSO algorithm

Cited by 117 publications

References 23 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

Grid-Tied Photovoltaic and Battery Storage Systems with Malaysian Electricity Tariff—A Review on Maximum Demand Shaving

Bi-Level Programming Approach for the Optimal Allocation of Energy Storage Systems in Distribution Networks

Contact Info

Product

Resources

About