Active Investment Planning in the Electricity Distribution System (original) (raw)
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Multi-year Optimal Planning of Active Distribution Networks
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CIRED 2012 Workshop: Integration of Renewables into the Distribution Grid, 2012
This paper presents an overview of the activities of CIGRE C6.19 Working Group (WG), focusing on the planning and optimization of active distribution systems. This builds on the recommendations of CIGRE WG C6.11 that focused on the development and operation of active distribution networks (ADNs). The C6.19 WG aims at addressing the following issues: (i) Survey on the state of the art on planning for active distribution systems; (ii) Requirements of planning methodologies; (iii) Identification of short, medium and long term models for active distribution system planning; (iv) reliability models of active distribution systems; and (v) algorithms for active distribution system expansion and upgrade planning, including demand-side integration and storage. CONCLUSION This paper has presented an overview of the activities of CIGRE C6.19 Working Group (WG), focusing on the planning and optimization of active distribution systems. This builds on the recommendations of CIGRE WG C6.11 that focused on the development and operation of active distribution networks (ADNs). The C6.19 WG aims at addressing the following issues: (i) Survey on the state of the art on planning for active distribution systems; (ii) Requirements of planning methodologies; (iii) Identification of short, medium and long term models for active distribution system planning; (iv) reliability models of active distribution systems; and (v) algorithms for active distribution system expansion and upgrade planning, including demand-side integration and storage.
IOP Conference Series: Materials Science and Engineering
Utmost of elucidation about the research accomplished in an article is cleared from the objective function of the planning problem. An objective function is a mathematical expression which describe the existing condition of a system with numerous variables, in which alteration of these variables result in optimized value largest or smallest, depending on problem or desired value. That value may be obtained by minimizing or maximizing the objective function. In this paper, a review has been carried out on objective functions of distribution network expansion planning (DNEP). These objective functions have been classified into five main categories: financial, income related, technical, optimal size & location and social & economic. The selection of objective function clearly shows increasing penetration of distributed generation (DG), distributed energy storing systems (DESS) and fuel cells with renewable technologies. Most of the reviewed articles highlight these objectives in details, however; not all fields have been covered in any single work on DNEP. This review article aims to address this gap so that widespread DNEP can be achieved with flawlessness. Substantial information has been offered of research work done in the field of DNEP through this review article which will mitigate the impending researchers from the difficulties of getting apposite supervision.
Joint Investment and Operation Optimization of a Distribution System in a Market Environment
2019 IEEE Milan PowerTech, 2019
A generation expansion planning strategy for distribution systems is proposed in this paper to derive the optimal generation mix considering decentralized storage units, variable generation units, dispatchable generation units and demand response. To better exploit the economic value of these investments, participation in reserve and energy markets is considered. As the investment and market bidding decisions are made sequentially, a multi-stage stochastic programming model is formulated to minimize the sum of long-term investment costs and short-term costs, which include fixed operation costs, variable operation and maintenance costs, emission costs, discomfort costs minus the market participation revenue. A case study based on modified Swiss data demonstrates the effectiveness of the proposed model, analyzes the impact of demand response and forecast errors and shows the importance of market participation.
this paper presents a comparative review and discussion of Power Distribution Planning (PDP). For quite some time now, significant research efforts have been devoted to the optimization of power distribution systems. The main aim of power distribution planning (PDP) is to design distribution systems that are able to cater for demand growth in a reliable, timely and safe manner; and at the same time realize a minimum cost strategy. As with any planning problem, there are inherent uncertainties that have to be accounted for when coming up with solutions. Several methods have been proposed, each with its own strengths and weaknesses. The basic concepts, criteria, and analysis techniques of each of these methods are discussed. Finally, there merits and demerits are brought forward.
Models and Procedures for Electric Energy Distribution Planning. A Review
IFAC Proceedings Volumes, 2002
Distribution system planning is a key component to accomplish the service in a fast growing demand market, both from a technical point of view and from the economic costs management. In the near future, electric companies will need faster and cheaper planning tools to evaluate different scenarios and their consequences for the rest of the system and provide their clients whit safe reliable and economic energy. The objective of this paper is to review different articles about this subject trying to continue the previous work from Gonen and Ramírez-Rosado in 1986 (Gönen,1986).
Energies
Within the current context of energy transition, the first step to assure cost-efficient and reliable grid operations is the use of adequate planning tools. These tools must evaluate the real needs for reinforcing, replacing and incorporating new network assets considering not only technical and regulatory aspects but also the operational benefits that distributed energy resources (DER) may provide. With this purpose, this paper presents a novel methodology for the analysis and the advanced planning of the active distribution networks in the context of smart grids. The main contributions of the proposed methodology are the following: to incorporate the real capabilities of DER proactively to the planning and operation of distribution networks; to appropriately use the data available in current smart grids; and to promote the efficient use of network capacity in distribution level (efficiency decisions of its users, grid assets in service, access conditions, etc.) through potential o...
Planning and Optimization Methods for Active Distribution Systems
The CIGRÉ C6 Study Committee (Distribution Systems and Dispersed Generation) considers the different aspects of integration of distributed generation. In this context, the C6.19 Working Group (WG) is specifically focused on “Planning and optimization methods for active distribution systems”. This report assesses the various requirements to facilitate the transition towards active distribution systems (ADSs). Specifically, the report starts from a survey of requirements of planning methodologies and identifies a new framework and methodologies for short, medium and long term models for active distribution planning. Active distribution networks (ADNs) have systems in place to control a combination of distributed energy resources (DERs), defined as generators, loads and storage. With these systems in place, the AND becomes an Active Distribution System (ADS). Distribution system operators (DSOs) have the possibility of managing the electricity flows using a flexible network topology. DERs take some degree of responsibility for system support, which depends on suitable regulatory environments and connection agreements. Distribution operation and planning stages can no longer be considered as separate tasks in the distribution business since the exploitation of existing assets with Advanced Automation and Control may be a valuable alternative to network expansion or reinforcement. Information and communication technology (ICT) cannot be considered as a simple add-on of the power system and simultaneous analysis (co-simulation) of both power system and ICT system behavior is required for planning and reliability studies, as well as risk analysis. Smart meters and automatic meter reading (AMR) offer a huge amount of data for load profiling and modelling. Data analytics and big data are key drivers for planning, since essential information has to be captured from on line measurement and raw data be used directly in real world planning applications. The ADS planning asks for daily customers profile with a probabilistic representation to take account of uncertainties that characterize their behaviour. Finally, interesting methodologies and models have been extracted from relevant publications. Particular attention has been paid to the planning tools, which are ready to be transferred into scaled industrial applications by means of strong interaction with R&D distribution company centres and Academia.
In recent years, significant research efforts have been devoted to the optimal design of modern power distribution systems. The aim of power distribution planning (PDP) is to design the distribution system such as to timely meet the demand growth in the most economical, reliable, and safe manner possible. The gradual transformation of the distribution grid from passive to active imposes the need to also consider the effect of distributed generation and active demand during planning and the increased advantages of their control. Several models and methods have been proposed recently for the solution of the modern PDP problem. This paper presents an overview of the state of the art models and methods applied to the modern PDP problem, analyzing and classifying current and future research trends in this field.