A coordinated scheme for transmission and distribution expansion planning: A Tri-level approach

El-Meligy, Mohammed A.; Sharaf, Mohamed A.; Soliman, Ahmed T.

doi:10.1016/j.epsr.2021.107274

Cited by 24 publications

(40 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other researches, the energy storage systems are selected as the best candidate to mitigate the impact of uncertainties. [13][14][15]17,18,[22][23][24][26][27][28]31 By contrast, the investment cost notably increases as well as a zero energy structure is not obtained. Based on the results of this paper, the expansion of renewable resources to achieve a zero energy structure in distribution systems is possible.…”

Section: Discussion and Results Evaluationmentioning

confidence: 99%

“…To avoid any scaling, ( 29) is replaced by (30) as the strict inequality constraint. Eventually, the final objective function can be defined by (31), where epsilon is a small value between 10 À3 and 10 À6 ,…”

Section: Augmented Epsilon-constraint Methodsmentioning

confidence: 99%

“…30 A mixed-integer tri-level model is formulated for simultaneous expansion of transmission and distribution systems to provide higher operation flexibility and reduce the total cost. 31 Reference [032] proposes a robust model for expansion planning of multi-microgrid and active distribution networks with the considerationof responsive loads and the generation contingency. The simulations approve that the demand response reduces the investment cost; however, the uncertainties significantly decrease the reliability.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

Azari

Tabar

Tohidi

2022

Intl J of Energy Research

View full text Add to dashboard Cite

Summary Due to the increase in global warming and environmental pollution, heavy penalties have been imposed on pollution producers such as electrical energy networks. Hence, the role of renewable resources expansion in power systems is unavoidable. However, their high penetration increases the uncertainties and decreases the reliability. This paper investigates the expansion of renewable resources in distribution systems based on the zero energy concept. In this regard, different scenarios are designed to determine the optimal location and sizing of wind turbines and photovoltaics as the most matured technologies. To achieve such a goal, a multiobjective linear programming consisting of investment cost and environmental pollution is suggested, which is solved by the augmented epsilon constraint method. Moreover, an incentive‐based demand response program is implemented using shiftable and curtailable responsive loads. Eventually, the uncertainties of renewable resources are modeled by a scenario generation and reduction approach to simulate realistic conditions. The results show that the system that includes only wind turbines or only photovoltaics cannot completely overcome the pollution problem due to the uncertainties. By contrast, a zero energy structure is achievable by their combination, where the investment cost is increased by 73.17% and 48.13% compared to the separate expansion of photovoltaics and wind turbines, respectively. The participation of responsive loads decreases the investment cost by 49.29% as well. Furthermore, the uncertainties of renewable resources increase the total cost by only about 5.95% in the presence of responsive loads; however, the system will be robust against at least 6% of wind turbines and photovoltaics fluctuations.

show abstract

Section: Discussion and Results Evaluationmentioning

confidence: 99%

Section: Augmented Epsilon-constraint Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

Azari

Tabar

Tohidi

2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…However, most of these works do not consider the expansion of the system. An exception to this is the work in [4], where the joint planning of the expansion of the transmission and distribution networks is modeled in a trilevel problem aimimg at minimizing the transmission and distribution investment costs while optimizing the operation of the system by computing the economic dispatch. However, the authors do not consider the option of DERs providing flexibility to the system, both at the operation and at the expansion planning levels, according to several possible operation strategies.…”

Section: Introductionmentioning

confidence: 99%

Values and impacts of incorporating local flexibility services in transmission expansion planning

Alvarez

Olmos

Ramos

et al. 2022

Electric Power Systems Research

View full text Add to dashboard Cite

“…In fact, during the final review round and a year after the preprint version of this work was publicized, a related work using MPP for dealing with a tri-level transmission/distribution expansion planning task was published[16].…”

mentioning

confidence: 99%

Strategic Generation Investment in Energy Markets: A Multiparametric Programming Approach

Taheri

Kekatos

Veeramachaneni³

2022

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

An investor has to carefully select the location and size of new generation units it intends to build, since adding capacity in a market affects the profit from units this investor may already own. To capture this closed-loop characteristic, strategic investment (SI) of generation can be posed as a bilevel optimization. By analytically studying a small market, we first show that its objective function can be non-convex and discontinuous. Realizing that existing mixed-integer problem formulations become impractical for larger markets and number of instances, this work put forth two SI solvers: a grid search to handle setups where the candidate investment locations are few, and a stochastic gradient descent approach for otherwise. Both solvers leverage powerful results of multiparametric programming (MPP), each in a unique way. The grid search entails finding the primal/dual solutions for a large number of optimal power flow (OPF) problems, which nonetheless can be efficiently computed several at once thanks to the properties of MPP. The same properties facilitate the rapid calculation of gradients in a mini-batch fashion, thus accelerating the implementation of a stochastic (sub)-gradient descent search. Tests on the IEEE 30-and 118-bus systems using real-world data corroborate the advantages of the novel solvers.

show abstract

A coordinated scheme for transmission and distribution expansion planning: A Tri-level approach

Cited by 24 publications

References 36 publications

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

Stochastic multi‐objective expansion of renewable resources in distribution systems incorporating responsive loads towards achieving zero energy structure

Values and impacts of incorporating local flexibility services in transmission expansion planning

Strategic Generation Investment in Energy Markets: A Multiparametric Programming Approach

Contact Info

Product

Resources

About