NDLI: A scenario-based robust investment planning model for multi-type distributed generation under uncertainties

Content Provider	IET Digital Library
Author	Ehsan, Ali Yang, Qiang Cheng, Ming
Abstract	This paper presented a scenario-based robust distributed generation investment planning (DGIP) model, which considered the uncertainties of wind turbine (WT) generation, photovoltaic (PV) generation and load demand. The robust economic model aims to maximize the net present value (NPV) from the distribution network operator's (DNO's) perspective. The uncertainties are described by an uncertainty matrix based on a heuristic moment matching (HMM) method that captures the stochastic features, i.e. expectation, standard deviation, skewness and kurtosis. The notable feature of the HMM method is that it diminishes the computational burden considerably by representing the uncertainties through a reduced number of representative scenarios. The uncertainty matrix is integrated with deterministic power flow equations to formulate a cost-benefit analysis based robust DGIP model with the objective of maximizing the DNO's net present value. The effectiveness of the proposed DGIP model is firstly verified in a 53-bus distribution test feeder, and then its scalability is further validated in a 138-bus distribution network. The numerical results confirm that the proposed DGIP solution is more robust for all representative network scenarios against the deterministic solution.
Starting Page	4426
Ending Page	4434
Page Count	9
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 20, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5602
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-08-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	138-bus Distribution Network 53-bus Distribution Test Feeder Cost-benefit Analysis Distributed Power Generation Distribution Network Distribution Network Operator DNO's Net Present Value Heuristic Moment Matching Method Investment Load Demand Load Flow Multitype Distributed Generation Optimisation Optimisation Technique Power Distribution Economics Power Distribution Planning Power Generation Economics Power Generation Planning Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Reliability Representative Scenario Robust DGIP Model Robust Economic Model Aims Scenario-based Robust Distributed Generation Investment Planning Model Scenario-based Robust Investment Planning Model Statistics Stochastic Linearised SCUC Uncertainty Matrix Wind Turbine Wind Turbine Generation
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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