A Long-Term Evaluation on Transmission Line Expansion Planning with Multistage Stochastic Programming

Han, Sini; Kim, Hyeon-Jin; Lee, Duehee

doi:10.3390/en13081899

Cited by 7 publications

(11 citation statements)

References 30 publications

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“…The formulation of the MSDTNEP model to minimize investment cost and amount of energy not supplied was computed using Equations (7)-(14) [4][5][6]. The objective function (Equation 7) corresponds to the addition of the investment cost in each period adequately transferred to the initial period using an interest rate λ.…”

Section: Multi-stage Dynamic Tnep (Msdtnep) Modelmentioning

confidence: 99%

“…To maintain the transmission system's reliability, North America Electrical Reliability Corporation (NERC) has published a series of standards in which all the balancing authorities within North American interconnection must comply [27]. N-1 security constraint is widely embedded in TNEP models to improve transmission capacity and security of power grids and is presented in Equation (14) [5,27].…”

Section: Multi-stage Dynamic Tnep (Msdtnep) Modelmentioning

confidence: 99%

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Multi-Stage Dynamic Transmission Network Expansion Planning Using LSHADE-SPACMA

et al. 2021

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This paper introduces a multi-stage dynamic transmission network expansion planning (MSDTNEP) model considering the N-1 reliability constraint. The integrated planning problem of N-1 security and transmission expansion planning is essential because a single line outage could be a triggering event to rolling blackouts. Two suggested scenarios were developed to obtain the optimal configuration of the Egyptian West Delta Network’s realistic transmission (WDN) to meet the demand of the potential load growth and ensure the system reliability up to the year 2040. The size of a blackout, based on the amount of expected energy not supplied, was calculated to evaluate both scenarios. The load forecasting (up to 2040) was obtained based on an adaptive neuro-fuzzy inference system because it gives excellent results compared to conventional methods. The linear population size reduction—Success-History-based Differential Evolution with semi-parameter adaptation (LSHADE-SPA) hybrid—covariance matrix adaptation evolution strategy (CMA-ES) algorithm (LSHADE-SPACMA)—is proposed to solve the problem. The semi-adaptive nature of LSHADE-SPACMA and the hybridization between LSHADE and CMA-ES are able to solve complex optimization problems. The performance of LSHADE-SPACMA in solving the problem is compared to other well-established methods using three testing systems to validate its superiority. Then, the MSDTNEP of the Egyptian West Delta Network is presented, and the numerical results of the two scenarios are compared to obtain an economic plan and avoid a partial or total blackout.

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Section: Multi-stage Dynamic Tnep (Msdtnep) Modelmentioning

confidence: 99%

Section: Multi-stage Dynamic Tnep (Msdtnep) Modelmentioning

confidence: 99%

Multi-Stage Dynamic Transmission Network Expansion Planning Using LSHADE-SPACMA

et al. 2021

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“…Annually, the investigated regional power supply company "Oreolenergo", a branch of IDGC of Center, has an average of 344 power supply outages with a total of 98,495.835 kWh of unsupplied electric power [17]. The total number of power outages includes consumer outages, outages due to damage of overhead lines, cable lines, transformers, equipment of transformer substations, and distribution points.…”

Section: Discussionmentioning

confidence: 99%

“…In most cases, it is difficult, since a noticeable number of power lines especially in rural areas have surpassed their resources and require replacement [39,40]. According to the statistical data of "Oreolenergo" [17], the causes of damage to power lines are shortcomings in maintenance (45%), the influence of natural and weather conditions (33%), the influence of unauthorized persons (15%), other reasons (e.g., birds, animals, etc.) (7%).…”

Section: Discussionmentioning

confidence: 99%

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Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

et al. 2020

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This paper presents the analysis of power supply restoration time after failures occurring in power lines. It found that the power supply restoration time depends on several constituents, such as the time for obtaining information on failures, the time for information recognition, the time to repair failures, and the time for connection harmonization. All these constituents have been considered more specifically. The main constituents’ results values of the power supply restoration time were analyzed for the electrical networks of regional power supply company “Oreolenergo”, a branch of Interregional Distribution Grid Company (IDGC) of Center. The Delphi method was used for determining the time for obtaining information on failures as well as the time for information recognition. The method of mathematical statistics was used to determine the repair time. The determined power supply restoration time (5.28 h) is similar to statistical values of the examined power supply company (the deviation was equal to 9.9%). The technical means of electrical network automation capable of the reduction of the power supply restoration time have also been found. These means were classified according to the time intervals they shorten.

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A Non-Convex Economic Dispatch Problem with Point-Valve Effect Using a Wind-Driven Optimisation Approach

Ramli

Kamari

Halim

et al. 2021

J. Electr. Eng. Technol.

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This study presents the efficiency of the wind-driven optimisation (WDO) approach in solving non-convex economic dispatch problems with point-valve effect. The best economic dispatch for a power system is one wherein the system can generate energy at a low cost. The calculation of the generating cost is subject to a number of constraints, such as the power demand for the entire system and the generation limit for each generator unit in the system. In addition, the system should also produce low power loss. The WDO optimisation technique is developed based on the concept of natural wind movement, which serves as a stabiliser to equalise the inequality of air pressure in the atmosphere. One major advantage of WDO over other techniques is its search accuracy. The proposed algorithm has been implemented in two systems, namely, the 10-generator and 40-generator systems. Both systems were tested in a Matlab environment. To highlight the capabilities of WDO, the results using this proposed technique are compared with the results obtained using flower pollination algorithm, moth flame optimisation, particle swarm optimisation and evolutionary programming techniques to determine the efficiency of the proposed approach in solving economic dispatch. The simulation results show the capability of WDO in determining the optimal power generation value with minimum generation cost and low rate of power loss.

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A Long-Term Evaluation on Transmission Line Expansion Planning with Multistage Stochastic Programming

Cited by 7 publications

References 30 publications

Multi-Stage Dynamic Transmission Network Expansion Planning Using LSHADE-SPACMA

Multi-Stage Dynamic Transmission Network Expansion Planning Using LSHADE-SPACMA

Analysis of the Power Supply Restoration Time after Failures in Power Transmission Lines

A Non-Convex Economic Dispatch Problem with Point-Valve Effect Using a Wind-Driven Optimisation Approach

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