Power distribution planning: a review of models and issues

Khator, Suresh K.; Leung, Lawrence C.

doi:10.1109/59.630455

Cited by 270 publications

(101 citation statements)

References 43 publications

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“…There are different network planning approaches regarding the implication of time [3]. In this paper we use an approach to include energy losses (OPEX) in a net present value (NPV) cost function.…”

Section: E Time Horizon Handling and Cost Methodologymentioning

confidence: 99%

“…In the international technical literature, e.g. in [3], many different optimization approaches are available to access the Distribution Network Expansion Planning (DNEP) problem. These proposed approaches are mostly built-up from a theoretical perspective, resulting in efficient DNEP models, but lacking practical constraints and realistic expansion rules.…”

Section: Introductionmentioning

confidence: 99%

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Practice-oriented optimization of distribution network planning using metaheuristic algorithms

Grond

Luong

Morren

et al. 2014

2014 Power Systems Computation Conference

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Abstract-Distribution network operators require more advanced planning tools to deal with the challenges of future network planning. An appropriate planning and optimization tool can identify which option for network extension should be selected from available alternatives. However, many optimization approaches described in the literature are quite theoretical and do not yield results that are practically relevant and feasible. In this paper, a distribution network planning approach is proposed which meets requirements originating from network planning practice to guarantee realistic outcomes. This approach uses a state-of-the-art evolutionary algorithm: Gene-pool Optimal Mixing Evolutionary Algorithm. The performance of this algorithm, as well as the proposed model, is demonstrated using a real-world case study.

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Section: E Time Horizon Handling and Cost Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Practice-oriented optimization of distribution network planning using metaheuristic algorithms

Grond

Luong

Morren

et al. 2014

2014 Power Systems Computation Conference

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“…The respective methods usually focus on grid reinforcements with optimal location and capacity of future substations (SSs), feeders (Fr), and conductors (branches) to address future load demands (across the planning horizon). These evaluations usually favor one decision maker (distribution companies) regarding decision support [4]. Major planning restrictions are also faced within TDP when high distributed generation (DG) penetration exists.…”

Section: Traditional Versus Modern Distribution Planningmentioning

confidence: 99%

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

2017

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Distribution networks (DNWs) are facing numerous challenges, notably growing load demands, environmental concerns, operational constraints and expansion limitations with the current infrastructure. These challenges serve as a motivation factor for various distribution network planning (DP) strategies, such as timely addressing load growth aiming at prominent objectives such as reliability, power quality, economic viability, system stability and deferring costly reinforcements. The continuous transformation of passive to active distribution networks (ADN) needs to consider choices, primarily distributed generation (DG), network topology change, installation of new protection devices and key enablers as planning options in addition to traditional grid reinforcements. Since modern DP (MDP) in deregulated market environments includes multiple stakeholders, primarily owners, regulators, operators and consumers, one solution fit for all planning scenarios may not satisfy all these stakeholders. Hence, this paper presents a review of several planning techniques (PTs) based on mult-objective optimizations (MOOs) in DNWs, aiming at better trade-off solutions among conflicting objectives and satisfying multiple stakeholders. The PTs in the paper spread across four distinct planning classifications including DG units as an alternative to costly reinforcements, capacitors and power electronic devices for ensuring power quality aspects, grid reinforcements, expansions, and upgrades as a separate category and network topology alteration and reconfiguration as a viable planning option. Several research works associated with multi-objective planning techniques (MOPT) have been reviewed with relevant models, methods and achieved objectives, abiding with system constraints. The paper also provides a composite review of current research accounts and interdependence of associated components in the respective classifications. The potential future planning areas, aiming at the multi-objective-based frameworks, are also presented in this paper.Keywords: active distribution network (ADN); distributed generation (DG); distributed energy resources (DERs); distribution network planning (DP); multi-objective optimization (MOO); multi-criteria decision analysis (MCDA); distributed generation placement (DGP); volt-ampere reactive power (VAR) compensation and power quality (VPQ); component reinforcement and up gradation (CRU); network (distribution) topology change and reconfiguration (NTR); planning techniques (PT); multiple objective planning (MOP); multi-objective planning techniques (MOPTs); future distribution networks (FDNs)

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“…기존 전력시장의 모델링에서 경제학자들의 연구는 상대적으로 더 많았는데, 주로 가격과 시장균형에 대한 연구 (Ventosa et al, 2005), 경매전략에 대한 연구 (Galiana et al, 2002;Hudson, 2001), 게임이론이나 유전 알고리즘 적용 등이 있다 (Son et al, 2004;Richter et al, 1998). 반면에 하나의 전력회사가 외부로부터의 전력 구매가 아닌 자신의 송배전망에서의 전력을 어떻게 분배하는 것이 경제적 인지에 관한 연구는 "전력배분계획(power distribution planning)" 또는 "최적 전력흐름(OPF : optimla path flow) 문제"란 이름으로 상당히 많은 연구 성과가 존재한다 (Acharyaa, 2006;Borges and Falco, 2006;Carrano et al, 2006;Fang and David, 1999;Kator and Leung, 1989;Pavia et al, 2005). 이 분야의 연구들은 단일기간 고 려, 다중기간 고려 등으로 나누어지며, 지선 네트워크(feeder) 수준 및 여러 개의 지선을 하나의 시스템으로 보는 수준 등 다 양한 문제가 정의되어 연구되어왔다.…”

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A Study on Electrical Power Trading in Minimum Price Wholesale Market

Seo¹,

Lee

2011

IE interfaces

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The importance of renewable energy technology is discussed and next generation power transmission networks, which is called the smart grid, are constructed in developed countries. However for construction and operation of the smart grid, it is required not only to develop the electrical power generation technologies and transmission equipments but also to study systematic analysis and optimization for design and operation of the smart grid. In this paper we study electrical power trade in the smart grid using operations research models and simulation methods. We also consider future electrical power exchange markets in Korea and build four scenarios and the related optimization and simulation models, which reflect electrical power transaction pricing strategies of stake-holders. We can also simulate electrical power exchange market and analyze the results of electrical power trading, which can give us some insights for future electrical power exchange market. 1)

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Power distribution planning: a review of models and issues

Cited by 270 publications

References 43 publications

Practice-oriented optimization of distribution network planning using metaheuristic algorithms

Practice-oriented optimization of distribution network planning using metaheuristic algorithms

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

A Study on Electrical Power Trading in Minimum Price Wholesale Market

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