The economical modelling of a distribution system for electricity supply chain

Wangsa, Ivan Darma; Wee, Hui–Ming

doi:10.1007/s12667-018-0274-z

Cited by 13 publications

(8 citation statements)

References 46 publications

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“…The parameter values of our numerical example are presented as follows : D=150, σ=500, A=50, Ft=150, Fp=120, hT=0.02, hP=0.02, =150, 0 =200, P=200, Ts=0.005, ctax=0.0618, K10=5,400, K20=5,400, β=0. 25 From the parameter values provided above, we intend to investigate a SEESCS problem in a situation in which the electricity demand is relatively stable. The above values associated with emission and production cost clearly show the trade-off between PG1 and PG2, that is the system in PG1 is cleaner than PG2.…”

Section: Numerical Examplementioning

confidence: 99%

“…Recently, some scholars have put their attention on developing an electricity supply chain model based on inventory theory. Wangsa and Wee [25] was the first to introduce a joint economic lot-sizing problem (JELP) of a power plant-transmission station-distribution substation system under stochastic demand. A mathematical model was developed to portray the investigated system and an efficient procedure was derived to determine the decision variables.…”

Section: Introductionmentioning

confidence: 99%

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Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

et al. 2021

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In this paper, we present a sustainable electrical energy supply chain system (SEESCS) where two supply chain parties are involved, namely a power plant and a transmission station. The power plant has two different types of power generation systems. The first power generation system (PG1) is more costly but it generates lower emissions than the second system (PG2). The model is developed based on a lot-sizing inventory problem to decide the load allocation between PG1 and PG2. The objective function is to minimize total costs that consist of energy generation cost and emission cost. The transmission station faces a stochastic demand and employs a continuous review policy to manage the electrical energy storage. An efficient procedure is developed to solve the model and a sensitivity analysis is carried out to explore the impact of changes in some key parameters on the model's behavior. The results show that the allocation of electricity generation is mostly influenced by the change in PG1's production cost parameter and PG2's emissions parameters. In addition, the amount of emissions generated from the system is significantly affected by the variation in PG1's production cost parameter, PG2's emissions parameters, and electricity demand.

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Section: Numerical Examplementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

et al. 2021

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“…The primary data are obtained from PAITON Power Plant PT. YTL located in East Java, Indonesia, while the secondary data are adopted from Wangsa et al The primary data includes the proportion of the utility system demand and the consumer demand, which equals to 5%. The input values for each parameter are given below.…”

Section: Numerical Example and Sensitivity Analysismentioning

confidence: 99%

“…Recently, Wangsa and Wee developed electricity supply chain model involving a power plant, a transmission substation, and a distribution substation. They adopted the concept of joint economic lot‐sizing problem (JELP) to formulate the distribution model and assumed that the electricity produced by a power plant can be stored.…”

Section: Introductionmentioning

confidence: 99%

Inventory‐based optimization of a two‐echelon fossil‐fuelled energy storage system

Jauhari

Melinda

Rosyidi

2019

Int Trans Electr Energ Syst

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Summary We propose an inventory‐based optimization model for a system of electricity supply chain. The system involves two parties, including a power plant and a transmission station. In the investigated system, power plant performs the production activities from raw material. Thus, the power plant is responsible for the raw material purchasing, electricity production to fulfill both in‐house and consumer demand, and for electricity distribution to the transmission station. In‐house demand for electricity, which further be called by the utility system demand, is used to perform the production process. Electricity distribution to end consumers is carried out by the transmission station. Here, we consider a stochastic demand, blackout cost, and purchasing decision to order raw material. The model aims to minimize the expected joint total cost for the supply chain system. Several decisions are determined including electricity consumption of utility system and transmission station, power plant distribution factor, emergency backup factor, and raw material ordering factor to supplier. We propose an iterative procedure to solve the model and provide a numerical analysis to get better insight on the related problem.

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“…We utilized the same methodology as [16,[27][28][29] to determine the distribution cost, which is incurred by the distribution substation. The distribution cost for partial load F based on the adjusted inverse function can be calculated using the equation below:…”

Section: The Distribution Costmentioning

confidence: 99%

The Effect of Price-Dependent Demand on the Sustainable Electrical Energy Supply Chain

2018

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Abstract:In order to identify the optimal structure of an electricity power network under the main assumption of a price dependent demand of electrical energy, we presented an optimization model that aims at analyzing the effect of price-dependent demand on the sustainable electrical supply chain system (SESCS). The system included a power generation system, transmission and distribution substations, and many customers. The electrical energy was generated and transmitted through multiple substations to our customers, and the demand for electricity by the customers is dependent on the price of electricity. In the study, we considered the transmission and the distribution costs which depend on the capacities of power generation, transmission rates and distances between stations. We utilized the inventory theory to develop our model and proposed a procedure to derive an optimal solution for this problem. Finally, numerical examples and sensitivity analysis are provided to illustrate our study and consolidate managerial insights.

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The economical modelling of a distribution system for electricity supply chain

Cited by 13 publications

References 46 publications

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

Sustainable Electrical Energy Supply Chain System With Hybrid Power Generation: An Inventory Approach

Inventory‐based optimization of a two‐echelon fossil‐fuelled energy storage system

The Effect of Price-Dependent Demand on the Sustainable Electrical Energy Supply Chain

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