Risk Constrained Energy Efficient Optimal Operation of a Converter Governed AC/DC Hybrid Distribution Network With Distributed Energy Resources and Volt-VAR Controlling Devices

Increasing penetration of direct current (dc) based distributed energy resources and dc loads in the conventional alternating current (ac) network necessitate the deployment of ac/dc hybrid distribution networks (HDNs). In view with the development of advanced energy management policy for ac/dc HDNs...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on industry applications Ročník 57; číslo 4; s. 4263 - 4277
Hlavní autoři: Paul, Subho, Sharma, Abhimanyu, Padhy, Narayana
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.07.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Alternating current
Alternating current (ac)/direct current (dc) hybrid distribution network (HDN)
Batteries
Computational geometry
Computer simulation
conditional value at risk (CVaR)
conservation voltage reduction (CVR)
Convexity
Direct current
Distributed generation
Distribution networks
Electric converters
Electrical loads
Energy costs
Energy distribution
Energy management
Energy resources
Energy sources
Integer programming
Inverters
Linear programming
Load flow
Load shifting
load shifting (LS)
Management systems
Mathematical programming
Mixed integer
Monte Carlo simulation
Optimization
Parameter uncertainty
Probability density functions
Programming
Reactive power
Risk
Strategy
Stress concentration
successive mixed integer linear programming (s-MILP)
two-point estimation (2PE)
ISSN:0093-9994, 1939-9367
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Increasing penetration of direct current (dc) based distributed energy resources and dc loads in the conventional alternating current (ac) network necessitate the deployment of ac/dc hybrid distribution networks (HDNs). In view with the development of advanced energy management policy for ac/dc HDNs, unlike previous literatures, this article proposes a risk constrained energy efficient management algorithm by merging load shifting (LS) and conservation voltage reduction (CVR) techniques. The optimization framework aims to simultaneously minimize both true and conditional risk or conditional value at risk values of the expected energy cost under uncertain solar power generation, load demand, and upper grid energy price. In contrast with the available stochastic optimization process, in this article, two-point estimation strategy is employed in place of Monte Carlo simulation for scenario generation from the probability density functions of the uncertain parameters to reduce computational exertion. The proposed centralized optimization framework is initially developed as mixed integer nonconvex programming but to avoid computation complexity, the nonlinear components are replaced by their linear counterparts. Later, a new solution process named successive mixed integer linear programming (s-MILP) is proposed to obtain the optimal decisions for deployment of LS and CVR through smart inverters and volt-VAR controlling devices. Efficacy of the proposed technique is demonstrated on modified IEEE 33 bus ac/dc HDN and the most energy efficient operation is found by merging LS and CVR. Simulation outcomes prove fast and near optimal convergence of the s-MILP compared to conventional second-order conic programming relaxed mixed integer convex programming and piecewise linearization based MILP. Further, to assess the impact of network size on the solution time and optimality, the proposed advanced distribution network management systems strategy is employed on 132 bus ac/dc HDN.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0093-9994
1939-9367
DOI:10.1109/TIA.2021.3081526