A review on soft computing techniques for location and sizing of distributed generation systems
21 Mar 2012-pp 163-167
TL;DR: In this article, a complete survey has been made on various methodologies employed in obtaining the optimal location and sizing of DG units, which can cause harm to the stability of the power system.
Abstract: To maximize the benefits on installation of distributed generation (DG) units, it is necessary to determine optimal number, rating and position in the power system. Improper sizing and location can cause harm to the stability of the power system. To solve these issues, numerous techniques have been presented by researchers over the years. In this paper, a complete survey has been made on various methodologies employed in obtaining the optimal location and sizing of DG units.
Citations
More filters
TL;DR: In this paper, the authors present several considerations to be taken into account when analyzing, modeling and solving the problem of location and dimensioning of distributed generation in the distribution grid, and present future research in this field of study All the above to improve the operating conditions of the network.
Abstract: Distributed generation (DG) is presented as a support to supply the demand of the system in a localized way, also allowing small-scale generation with renewable energy sources. As a main contribution, this document presents several considerations to be taken into account when analyzing, modeling and solving the problem of location and dimensioning of DG in the distribution grid. Initially, the technical aspects of the network are outlined as well the load modeling, and DG impacts; followed by the formulation of the mathematical model of the problem, main solution techniques, methodologies applied in the literature. Finally, it shows future research in this field of study All the above to improve the operating conditions of the network. Within the review of the papers presented by the different authors, it was found that a large part of the studies focus on the technical aspects, without taking into account the costs associated with the integration of DG, nor the economic incentives that can Be susceptible to this type of projects, which are of vital importance in assessing the feasibility of the integration proposal.
19 citations
Cites background from "A review on soft computing techniqu..."
...En la literatura existen diversos métodos y técnicas [32], [36], cuya clasificación y algunos estudios realizados se muestran a continuación....
[...]
TL;DR: In this paper, a new planning tool based on the concept of a multi-agent system is presented, where every network user is represented by an agent, allowing not only the consideration of the volatile feed-in characteristics of renewable energy sources but also the dependencies between the grid users and their environment.
Abstract: The volatile feed-in of distributed generation based on renewable energy sources as well as new and intelligent loads and storages require an appropriate consideration in the distribution grid planning process. With the conventional planning method being dependent on extreme scenarios, the consideration is very limited. Therefore, a new planning tool based on the concept of a multi-agent system is presented. In this system, every network user is represented by an agent, allowing not only the consideration of the volatile feed-in characteristics of renewable energy sources but also of the dependencies between the grid users and their environment. Within this contribution, a system overview is given and the agent design process demonstrated on the example of the storage agent, including negotiations. This multi-agent system generates time series for all relevant system variables, defining detailed input parameters in the distribution grid planning process. For the first time, this allows for a detailed determination of the conditions in the up to now rarely measured medium- and low-voltage grids. As a consequence, new assumptions for the planning process are derivable, permitting a demand- and future-oriented grid planning and avoiding over-dimensioning of the grids.
16 citations
26 Jul 2015
TL;DR: In this paper, a simple yet efficient method for long-term planning using DG units and line reinforcement is proposed, which uses a dynamic graph to identify the optimal combination of buses to which DG units connect and/or lines to be upgraded in order to mitigate line congestion in distribution networks.
Abstract: Distributed Generation (DG) units have many benefits and have been extensively used for loss reduction and voltage improvement. This paper proposes a simple, yet efficient method for long term planning using DG units and line reinforcement. The proposed method uses a dynamic graph to identify the optimal combination of buses to which DG units connect and/or lines to be upgraded in order to mitigate line congestion in distribution networks. For minimizing the losses, the underlying algorithm utilizes the successive shortest path method and takes into account the evolution of the system throughout the planning horizon years.
4 citations
Cites methods from "A review on soft computing techniqu..."
...Three broad approaches are usually used in sizing and sitting DG units in distribution networks: analytical, numerical and heuristic methods [6]....
[...]
01 Sep 2016
TL;DR: The added value of modelling the demand of private customers probabilistically in the planning process is demonstrated and demonstrated with the help of a simulation environment, called SimoNA.
Abstract: The changing requirements in the distribution grids demand for more detailed knowledge of loading situations as well as a better analysis of the grids' performance. Usually represented by single peak load power consumption values, the loads of private customers are not considered adequately by the DSO in the distribution grid planning process. The utilization of extreme scenarios in the planning process without consideration of their probability can result in inappropriate grid reinforcements. In this paper, the added value of modelling the demand of private customers probabilistically in the planning process is o utlined and demonstrated with the help of a simulation environment, called SimoNA. Based on the multi agent concept, every grid user is presented by an agent with individual behavior and objective functions. The load agents derive their behavior from analyzed smart meter data. Additionally, they implement existing and future interdependencies with ambient grid users and the environment.
3 citations
Cites background from "A review on soft computing techniqu..."
...Although many different approaches for optimizing the asset structure and grid topology have been object of research in the past (like the overviews demonstrate in [1], [3]-[5]), the need for high quality input data is often not taken into account....
[...]
18 Jul 2018
TL;DR: A conceptual design of an agent-based socio-technical DR consumer model is proposed, based on a structural agent analysis mapped to a framework for a multi-agent simulation model.
Abstract: Demand response (DR) management is one of the key applications of today’s and future energy systems. The success of the DR programs strongly depends on several consumer-specific parameters, as, e.g., willingness to participate, comfort requirements, technical affinity etc., which are often neglected in corresponding simulation models. In this paper, a conceptual design of an agent-based socio-technical DR consumer model is proposed. It is based on a structural agent analysis mapped to a framework for a multi-agent simulation model.
3 citations
Cites background from "A review on soft computing techniqu..."
...Multi-agent systems are increasingly used in the quantitative social sciences as a promising method [9], [10], [11]....
[...]
References
More filters
TL;DR: In this article, an analytical expression to calculate the optimal size and an effective methodology to identify the corresponding optimum location for DG placement for minimizing the total power losses in primary distribution systems is proposed.
1,060 citations
TL;DR: In this article, the optimal location to place a DG in radial as well as networked systems to minimize the power loss of the system has been investigated to obtain the maximum potential benefits.
Abstract: Power system deregulation and the shortage of transmission capacities have led to increased interest in distributed generation (DG) sources. Proper location of DGs in power systems is important for obtaining their maximum potential benefits. This paper presents analytical methods to determine the optimal location to place a DG in radial as well as networked systems to minimize the power loss of the system. Simulation results are given to verify the proposed analytical approaches.
1,042 citations
TL;DR: In this article, a multiobjective formulation for the siting and sizing of DG resources into existing distribution networks is proposed, which permits the planner to decide the best compromise between cost of network upgrading, cost of power losses, and cost of energy not supplied.
Abstract: In the restructured electricity industry, the engineering aspects of planning need to be reformulated even though the goal to attain remains substantially the same, requiring various objectives to be simultaneously accomplished to achieve the optimality of the power system development and operation. In many cases, these objectives contradict each other and cannot be handled by conventional single optimization techniques. In this paper, a multiobjective formulation for the siting and sizing of DG resources into existing distribution networks is proposed. The methodology adopted permits the planner to decide the best compromise between cost of network upgrading, cost of power losses, cost of energy not supplied, and cost of energy required by the served customers. The implemented technique is based on a genetic algorithm and an /spl epsiv/-constrained method that allows obtaining a set of noninferior solutions. Application examples are presented to demonstrate the effectiveness of the proposed procedure.
767 citations
TL;DR: In this article, the authors present a methodology for optimal distributed generation allocation and sizing in distribution systems, in order to minimize the electrical network losses and to guarantee acceptable reliability level and voltage profile.
623 citations
TL;DR: In this paper, a loss sensitivity factor, based on the equivalent current injection, is formulated for the distribution systems, and the formulated sensitivity factor is employed for the determination of the optimum size and location of distributed generation so as to minimize total power losses by an analytical method without use of admittance matrix or Jacobian matrix.
613 citations