Considering Carbon Emissions in Economic Dispatch Planning for Isolated Power Systems: A Case Study of the Taiwan Power System

Kuo, Ming-Tse; Lu, Shiue‐Der; Tsou, Ming-Chang

doi:10.1109/tia.2017.2771338

Cited by 40 publications

(23 citation statements)

References 20 publications

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“…We took the incremental cost of a power generator as the consensus variable in order to develop the solution method for our distributed ED model (6). The discrete form of the protocol used by power generator i to update its status in the k-th iteration can be formulated as the following:…”

Section: Sub-gradient-based Optimization Methodsmentioning

confidence: 99%

“…,n, model (6) can be built by a real power source unit itself locally and independently. As for the virtual generator, it only needs the information on the real-time exchanged power P PCC and the power order P ref that can be provided by the MG operator conveniently to calculate the function f p in its local model (6). Therefore, the ED model (6) for n power units is fully distributed in nature.…”

Section: Distributed Economic Dispatch Modelmentioning

confidence: 99%

“…As for the virtual generator, it only needs the information on the real-time exchanged power P PCC and the power order P ref that can be provided by the MG operator conveniently to calculate the function f p in its local model (6). Therefore, the ED model (6) for n power units is fully distributed in nature. (3) Global information such as total load P D and the sum of the power of all the generators n i=1 P G,i or the power mismatch P D − n i=1 P G,i that are bottlenecks of current distributed ED strategies are no longer needed in developing our ED model (6).…”

Section: Distributed Economic Dispatch Modelmentioning

confidence: 99%

“…Therefore, the ED model (6) for n power units is fully distributed in nature. (3) Global information such as total load P D and the sum of the power of all the generators n i=1 P G,i or the power mismatch P D − n i=1 P G,i that are bottlenecks of current distributed ED strategies are no longer needed in developing our ED model (6). Furthermore, global operation information regarding power loss P LOSS that is very difficult to be calculated or estimated accurately can now be handled simply and conveniently.…”

Section: Distributed Economic Dispatch Modelmentioning

confidence: 99%

“…Economic dispatching (ED) is also one of the most fundamental issues of an MG, where the total required generation is distributed among the generators in operation by minimizing the selected cost criterion, subject to load demand and generator capacity constraints [5]. Traditionally, solution algorithms for the ED problem of MGs have been centralized in nature, wherein a powerful central computer is employed to make a decision on the power commitment for each power generation unit by solving a specific form of optimization problem, according to the information collected via communication links deployed between the central computer and each generation unit [6]. As pointed out in [7], the design of intelligent economic dispatching strategies for microgrids is drastically different to that of conventional central grids due to two unique challenges.…”

Section: Introductionmentioning

confidence: 99%

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Research on the Real-Time Distributed Economic Dispatch Strategy for Microgrids

et al. 2019

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A microgrid (MG) is one of the most efficient ways to cope with the grid-connection of a large number of small-sized distributed energy resources. This paper presents a consensus-based fully distributed economic dispatch (ED) strategy for MGs, with the aim of tackling the difficulties of existing algorithms in modeling network power loss and providing global information. The external power grid to which the MG connects is treated as a special power source called a virtual generator, and participates in the economic dispatch process. Taking the incremental cost of a power generator as the consensus variable, a distributed ED model was formulated based on consensus protocol and a sub-gradient-based optimization method for solving this model has been proposed. The convergence of the distributed ED system was investigated by utilizing matrix spectrum radius analysis theory. The effectiveness of the proposed strategy was verified by carrying out simulation under normal operation of the MG, both with and without the consideration of network power loss. Moreover, simulation results under several scenarios, including exchanged power order variation and distributed generation plug and play, are provided to demonstrate the robustness of the distributed ED strategy.

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Section: Sub-gradient-based Optimization Methodsmentioning

confidence: 99%

Section: Distributed Economic Dispatch Modelmentioning

confidence: 99%

Section: Distributed Economic Dispatch Modelmentioning

confidence: 99%

Section: Distributed Economic Dispatch Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on the Real-Time Distributed Economic Dispatch Strategy for Microgrids

et al. 2019

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Determining consumer's carbon emission obligation through virtual emission tracing in power systems

Rouholamini

Miller

Wang

2019

Env Prog and Sustain Energy

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Although a recent report by the U.S. Energy Information Administration indicates that CO 2 emissions from power generation have now fallen below emissions from the transportation sector, electricity use remains a significant part of human's environmental footprint since fossil fuels are the major energy resource for electricity generation worldwide. This explains the continual effort by policy makers to develop a remedy to mitigate carbon emissions. It is then critically important to properly account for the emissions associated with electricity generation, delivery, and consumption. In particular, it is critical to be able to allocate emissions to the relevant electricity consumers creating the demand that results in a polluting emission. Therefore, in this paper a virtual carbon emission tracing method in power systems is thoroughly presented to facilitate allotting carbon obligation. The method is developed based on the proportional sharing principle that has been used in power system operation. The proposed methodology is implemented on the IEEE 5-bus and 9-bus systems, two widely used and recognized power grid benchmarks.

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A comprehensive review of soft computing algorithms for optimal generation scheduling

et al. 2020

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Summary Strategic planning for optimal operation of modern power systems has always been a significant task to satisfy the techno‐social aspects in the sustainable energy scenario. In the light of restructured power systems and decentralized generation, the economic dispatch (ED) problem has remained the utmost important economic assignment for the network operators. The conventional techniques have failed to address the nonlinear characteristics of generators for solving the practical ED problem. The complications identified in the literature are valve point loading, prohibited operating zones, multiple fuels, ramp rate limits, and spinning reserve. Therefore, a diverse range of traditional and modern optimization techniques have been adopted to tackle those complexities and nonlinearities. With the recent advancements in centralized optimization techniques, several research works were reported in the past decade to accomplish better results. This review paper endeavors to cover the pioneering research on centralized approaches as well as present‐day research trends on decentralized and distributed approaches by focusing on the economic aspects. First, a detailed survey of several deterministic, stochastic, nature‐inspired, and meta‐heuristic based centralized approaches for solving the ED problem is reviewed. A brief analysis based on the performance evaluation of centralized algorithms on six standard test systems is presented. Then, the recent literature on decentralized and distributed optimization approach and the consensus protocols with respect to various network topologies is briefly reviewed. The prime objective of this review is to summarize the centralized, decentralized, and distributed approaches to solve the classic dispatch, dynamic dispatch, economic emission dispatch, and multi‐area ED problems.

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Considering Carbon Emissions in Economic Dispatch Planning for Isolated Power Systems: A Case Study of the Taiwan Power System

Cited by 40 publications

References 20 publications

Research on the Real-Time Distributed Economic Dispatch Strategy for Microgrids

Research on the Real-Time Distributed Economic Dispatch Strategy for Microgrids

Determining consumer's carbon emission obligation through virtual emission tracing in power systems

A comprehensive review of soft computing algorithms for optimal generation scheduling

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