Journal Article10.1109/TPWRS.2004.831699
Optimal investment planning for distributed generation in a competitive electricity market
617
TL;DR: In this article, a new heuristic approach for distributed generation (DG) capacity investment planning from the perspective of a distribution company (disco) is obtained through a cost-benefit analysis approach based on a new optimization model.
read more
Abstract: This paper proposes a new heuristic approach for distributed generation (DG) capacity investment planning from the perspective of a distribution company (disco). Optimal sizing and siting decisions for DG capacity is obtained through a cost-benefit analysis approach based on a new optimization model. The model aims to minimize the disco's investment and operating costs as well as payment toward loss compensation. Bus-wise cost-benefit analysis is carried out on an hourly basis for different forecasted peak demand and market price scenarios. This approach arrives at the optimal feasible DG capacity investment plan under competitive electricity market auction as well as fixed bilateral contract scenarios. The proposed heuristic method helps alleviate the use of binary variables in the optimization model thus easing the computational burden substantially.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Protection Coordination of Properly Sized and Placed Distributed Generations–Methods, Applications and Future Scope
TL;DR: In this article, the optimal sizing and placement of DGs and their protection coordination in utility network is discussed, where the authors indicate the possible research gaps and highlights the applications possibilities and methods' limitations.
39
A simulated annealing algorithm for multi-objective distributed generation planning
Akram I. Aly,Yasser G. Hegazy,Metwally A. Alsharkawy +2 more
- 25 Jul 2010
TL;DR: In this paper, a multi-objective optimization model is proposed to determine the optimal solutions for the problem of sizing and locating distributed generation facilities, where cost minimization is achieved through the minimization of system losses; complex power acquired from DG units and the number of connected DG units.
39
Utilizing fuzzy optimization for distributed generation allocation
E.B. Cano
- 01 Oct 2007
TL;DR: It is shown that the methodology provides needed consideration for DG allocation and accounts for uncertainty using fuzzy set theory, and it is discussed in detail the approach adopted.
38
Risk assessment of wind power generation project investments based on real options
Jose Ignacio Munoz,Javier Contreras,J. Caamano,Pedro Correia +3 more
- 09 Oct 2009
TL;DR: In this article, the authors present a decision-making tool for investment in a wind energy plant using a real options approach, where the volatility of the NPV curve reflecting different periods is inserted into a trinomial investment option valuation tree.
Uncertainty management of renewable distributed generation
TL;DR: In this paper, the authors presented a new approach to manage uncertainty in order to solve the Distributed Generation planning problem, and compared the proposed (probability-based) approach with a traditional level-based method.
38
References
•Book
Power distribution planning reference book
H Lee Willis
- 11 Jan 2000
TL;DR: In this article, the authors present a planning tool for power delivery systems electrical load and consumer demand for power availability and power quality planning criteria reliability and contingency criteria economic evaluation line segments and transformer economics and set design distibution feeder layout multi-feeder layout distribution substations distribution system layout substation siting and system expansion planning service level layout and planning planning.
723
Planning for distributed generation
TL;DR: In this article, the authors consider distributed generation (DG) can be incorporated into distribution planning as an option along with traditional feeder and substation options, and the planning process needs to incorporate more detailed simulations of capacity constraints and customer damage costs.
253
Siting distributed generation to defer T&D expansion
R.E. Brown,Jiuping Pan,Xiaorning Feng,K. Koutlev +3 more
- 28 Oct 2001
TL;DR: In this article, a successive elimination algorithm is presented to identify the number, size and location of distributed generators needed to optimally defer T&D expansion in a utility test system.
168
Strategic analysis framework for evaluating distributed generation and utility strategies
Graham Ault,J.R. McDonald,Graeme Burt +2 more
- 14 Jul 2003
TL;DR: In this article, a strategic analysis framework for evaluating distributed generation and distribution utility strategies is presented based on the idea of evaluating all distributed generation issues across many scenarios to encapsulate the breadth of uncertainties stemming from independent distributed generation in regulated distribution networks.
61
Distribution System Planning in Focus
TL;DR: In this paper, the authors discuss the need for power system planning for the twenty-first century with a focus on distributed generation, which presents substantial challenges for distribution system planners and has been the focus for a study of the changing needs of distribution planning.
50