Distributed optimisation‐based collaborative security‐constrained transmission expansion planning for multi‐regional systems

Mehrtash, Mahdi; Kargarian, Amin; Mohammadi, Ali

doi:10.1049/iet-gtd.2018.6555

Cited by 18 publications

(9 citation statements)

References 26 publications

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“…For instance, [25] utilized a decentralized analytical target cascading (ATC) algorithm to solve a multi-regional co-planning model of wind farms, energy storage, and transmission lines. A collaborative multi-area transmission expansion planning model was presented in [26], where each area was formulated as a local-area (LA) planner and a two-level distributed optimization algorithm was proposed to coordinate LA planners. Although the area's local characteristics and the interaction with other areas are considered, planning for RESs and ESSs is ignored in this work.…”

Section: Literature Reviewmentioning

confidence: 99%

“…where Since all LA planning problems have the same formulation, they can be solved parallelly. Then, the optimal configuration ratio of wind, solar, and ESS units, k W a , k S a , and k ESS a , can be derived by (26) with the installed capacity of RES generators as the basis and transferred to the SW planning layer. In (26), K W a , K S a and K ESS a are defined as optimal installed capacities of wind power, solar power, and ESS units obtained by the LA planning model for area a.…”

Section: T 𝜔mentioning

confidence: 99%

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A hierarchical multi‐area capacity planning model considering configuration ratios of renewable energy and energy storage systems with multi‐area coordination

Wang

Chen³

et al. 2023

IET Generation Trans & Dist

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The continuous growth of renewable energy sources (RESs) has increased the demand for flexibility in managing uncertainties of RES generation. Energy storage systems (ESSs) are recognized as one of the promising methods to address this challenge. For multi‐area power system planning problems, capacity allocations of RESs can vary considerably among areas accounting for the geographic diversities in RES generation and load patterns. This paper presents a hierarchical coordinated planning model considering the interaction of local‐area (LA) planning entities and the system‐wide (SW) planner. A novel multi‐objective LA planning model is proposed to compute optimal capacity configuration ratios of RESs and ESSs based on regional resource characteristics. The SW planner acts as a coordinator and further optimizes specific capacities of generation assets. Optimal configuration ratios produced by LA planning entities are important indices reflecting LA planning preferences and serve as a link between the two planning layers. Numerical results on a modified NREL‐118 test system show that the proposed planning model can reduce carbon emission by an average of 10.5% and improve the RES utilization rate by an average of 1.8% compared with planning models without considering configuration ratios and ESS installations.

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Section: Literature Reviewmentioning

confidence: 99%

Section: T 𝜔mentioning

confidence: 99%

A hierarchical multi‐area capacity planning model considering configuration ratios of renewable energy and energy storage systems with multi‐area coordination

Wang

Chen³

et al. 2023

IET Generation Trans & Dist

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“…Particle swarm optimization, also known as particle swarm optimization algorithm [4][5]. It is a kind of swarm intelligence algorithm.…”

Section: Distributed Collaborative Particle Swarm Optimization Algorithmmentioning

confidence: 99%

Reactive Power Optimization of Power System Based on Distributed Cooperative Particle Swarm Optimization Algorithm

2020

DPS

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With the gradual increase in the scale of the power grid, the marketization of the power industry, and the rationalization of resource allocation, how to improve the power system has become an urgent issue for the power sector. The power system is of great significance to improve voltage quality, improve power grid safety factor, reduce system active power loss, and improve economic benefits. The purpose of this paper is to study the power system with algorithm. In the experiment, using the reactive power optimization objective function, the program of the power system is optimized, and they are respectively applied to the standard IEEE-30 node model for optimization calculation, and the results are analyzed.

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“…Shahbazi et al (2021) presented a planning model for the natural disaster situation, which can minimize the total cost while maintaining the stable operation of the power grid in extreme weather. Mehrtash et al (2019) presented a transmission expansion planning (TEP) algorithm, which considered the region's characteristics and feeder-link flow with its neighbors. A planning method considering distribution automation functions was developed (Heidari et al, 2015), which used the genetic algorithm to solve the optimization problem.…”

Section: Introductionmentioning

confidence: 99%

A feeder link planning method for total supply capability improvement of distribution network

Xiao

et al. 2022

Front. Energy Res.

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This study proposes a new feeder link planning method for the distribution network, which can improve total supply capability (TSC). Feeder links are the key component of distribution networks. They are of great significance to the TSC of the distribution network. Therefore, it is necessary to reveal the influence rules of feeder links on TSC and then apply the rules in distribution network planning. First, the indices describing the position, scale, and efficiency of feeder links are defined. Second, the influence rules of feeder links on TSC are revealed. 1) When the feeder geometrical distribution is more balanced, the TSC is higher. 2) When the feeder link scale is larger, the TSC is higher. While for both (1) and (2), the TSC will remain unchanged after reaching a certain value. 3) There always exists an optimal construction order of feeder links, which can ensure the TSC is as high as possible in each planning stage. Third, based on the rules, a model and an algorithm of the feeder link planning are proposed. The method can find an optimal construction order of feeder links, which can ensure that the value of TSC is as high as possible in each feeder link planning stage. Finally, the proposed method is verified on an 8-substation-transformer case grid, which has shown that the proposed method has advantages in feeder link efficiency and feeder-distribution balancing, and especially the TSC can be improved in each planning stage than the traditional methods.

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Distributed optimisation‐based collaborative security‐constrained transmission expansion planning for multi‐regional systems

Cited by 18 publications

References 26 publications

A hierarchical multi‐area capacity planning model considering configuration ratios of renewable energy and energy storage systems with multi‐area coordination

A hierarchical multi‐area capacity planning model considering configuration ratios of renewable energy and energy storage systems with multi‐area coordination

Reactive Power Optimization of Power System Based on Distributed Cooperative Particle Swarm Optimization Algorithm

A feeder link planning method for total supply capability improvement of distribution network

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