Modified penalty function method for optimal social welfare of electric power supply chain with transmission constraints

Chen, Meng-Jen; Hsu, Yi-Fan; Wu, Yiching

doi:10.1016/j.ijepes.2013.11.046

Cited by 25 publications

(6 citation statements)

References 24 publications

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“…Chen et al examined the optimal social welfare problem in the power supply chain network with consideration to transmission power flows and constraints based on a mathematic model. However, in their model, each player tried to maximize its own profit and competed with others in a noncooperative manner [24]. Based on their results, this paper focuses on the operational efficiency of the power supply chain including coal-fired power plant and renewable energy power generation enterprise as manufacturers.…”

Section: Power Supply Chain Managementmentioning

confidence: 99%

Decisions in Power Supply Chain with Emission Reduction Effort of Coal-Fired Power Plant under the Power Market Reform

Huang

et al. 2020

Sustainability

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Sustainability in power supply chain has been supported by emission reduction of coal-fired power generation and increasing renewable energy power generation. Under the power market reform of direct power purchase transactions, this paper focuses on the channel selection and emission reduction decisions of power supply chain. From the theoretical perspective, this paper develops the decision-making models of centralized and decentralized power supply chain, which consist of one renewable energy power generation enterprise, one coal-fired power plant and one power grid enterprise. The optimal strategies of power quantities and profits for power supply chain members and their corresponding numerical experiments are analyzed in different cases. The results show that there are for renewable energy power generation enterprise A, and for coal-fired power plant B, which indicate that the direct power purchase channel in the centralized scenario is conducive to promoting the transaction quantity of renewable energy power generation, as well as the on-grid power quantity and emission reduction efforts of coal-fired power plant B. Furthermore, the profit of whole power supply chain could be enhanced by the increasing on-grid power preference coefficient of coal-fired power generation, subsidy for renewable energy power generation and preference coefficient for clean production, and by the decreasing emission reduction cost coefficient of coal-fired power plant. Additionally, the emission reduction effort of coal-fired power plant is positively relevant with preference coefficient for clean production, whereas it is negatively relevant with power grid wheeling charge, emission reduction cost coefficient and subsidy for renewable energy power generation. Our findings can provide useful managerial insights for policymakers and enterprises in the sustainability of power supply chain.

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Section: Power Supply Chain Managementmentioning

confidence: 99%

Decisions in Power Supply Chain with Emission Reduction Effort of Coal-Fired Power Plant under the Power Market Reform

Huang

et al. 2020

Sustainability

View full text Add to dashboard Cite

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“…Chaiwuttisak et al [30] presented an integer programming model considering the allocation problem to improve the supply of blood products by reducing distribution centers and transportation cost. The electric power system consists of a large-scale network of several electrical components to transmit and utilize electric power, where the optimal power flow (OPF) to obtain a steady-state operation point with minimum cost is the area of interest for researchers [31]. The classical method of OPF has the basics provided by power flow solutions in Newton's method [32] and the interior point method [33].…”

Section: Literature Reviewmentioning

confidence: 99%

Product Channeling in an O2O Supply Chain Management as Power Transmission in Electric Power Distribution Systems

2018

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With the aim of delivering goods and services to customers, optimal delivery channel selection is a significant part of supply chain management. Several heuristics have been developed to solve the variants of distribution center allocation and vehicle routing problems. In reality, small-scale suppliers cannot afford research and development departments to optimize their distribution networks. In this context, this research work develops a model for an online to offline (O2O) supply chain management network of a small-scale household electric components manufacturer for delivering goods to its distribution centers and retailers. Retailers are acquired by the company through investment in the O2O channel of e-commerce. Electric power transmission and distribution is considered as representative of the product distribution network. A model is developed using a combination of the supply chain management technique and power transmission terminologies. The constrained linear programming model is solved through the linear programming tool of the LINGO optimization software and the global optimum results for the proposed quantity allocation problem are achieved. A numerical experiment is provided to illustrate the practical applicability of the model and the optimal results are analyzed for model robustness.

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“…Similarly, Bayatloo [2] proposed a two-stage stochastic programming model for electricity supply chain network design by only considering location selection for power plants, main grids, and local grids to minimize the installation cost without considering the energy losses and maintenance in the supply chain network design. This model is an integration of the location-allocation and assignment model for the minimization of energy losses and maintenance cost that differentiate this model from previous literature Chen, Hsu, and Wu [3].…”

Section: Introductionmentioning

confidence: 99%

Power Distribution Network Expansion and Location Optimization of Additional Facilities: A Case Study

et al. 2021

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Planning the power distribution network is critical and challenging; the main challenges include the multiple costs involved, selecting the appropriate locations of different nodes of the network at minimal cost, and minimizing the cost of energy loss for both the primary and secondary networks. Literature on the power distribution network presents different approaches, however, lacks to address the several issues of the complex power distribution networks and many aspects are yet to be explored; for example, the uncertain cost of energy loss. This study intends to address the gaps in the literature by proposing a four-phased approach. In doing so, first, an integer linear programming model is formulated with the objective of cost minimization. Secondly, fuzzy variables are used to tackle the parameters with uncertainty; cost of energy loss. In the third phase, a fine-tuned genetic algorithm (FT-GA) that uses the Taguchi Orthogonal Array is introduced to solve the mathematical model. It is worth mentioning that during the design of the experiment, the input parameters are crossover rate, elite count, and population size. In the last phase, a pragmatic approach is adopted and a Pakistan-based case study is used to validate the proposed model and its implication in real-life scenarios. The results exhibit that our proposed approach outperforms traditional methods like the genetic algorithm (GA) and inter-point methods in terms of fitness function value, number of generations, and computational time. This research contributes at both theoretical and managerial levels and may help decision-makers to design networks more efficiently and cost-effectively in Pakistan, Asia, and beyond.

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Modified penalty function method for optimal social welfare of electric power supply chain with transmission constraints

Cited by 25 publications

References 24 publications

Decisions in Power Supply Chain with Emission Reduction Effort of Coal-Fired Power Plant under the Power Market Reform

Decisions in Power Supply Chain with Emission Reduction Effort of Coal-Fired Power Plant under the Power Market Reform

Product Channeling in an O2O Supply Chain Management as Power Transmission in Electric Power Distribution Systems

Power Distribution Network Expansion and Location Optimization of Additional Facilities: A Case Study

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