A New Methodology for Cost Allocation of Transmission Systems in Interconnected Energy Markets

Silva, Armando M. Leite da; Costa, João Guilherme de C.; Lima, Luis Henrique Lopes

doi:10.1109/tpwrs.2012.2221147

Cited by 28 publications

(18 citation statements)

References 21 publications

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“…An efficient load model involves controlling the feasible size of DG unit's allocation. Da Silva et al [5] have optimized an transmission cost allocating issues in both single and/or global energy markets. At first, the suggested technique permits the disintegration of the final cost into dual mechanisms: the primary relates the operated system capacity, valued at a detailed operating situation, the secondary furnishes the obtained capacity but unusual in system.…”

Section: Lmbp Transmission Loss and Cost Allocation Problemsmentioning

confidence: 99%

Analysis of Transmission Cost Allocation Strategies with Reliability for Deregulated Systems

2019

IJITEE

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Abstract: This paper presents a learning review of various strategies related to the improvement of the reliability for the deregulated system, for instance, Genetic Algorithms (GA), Tabu Search (TS), heuristic calculations and system based techniques. These methodologies were produced for advancing reliability as either software or hardware exclusively. Besides, the cost segments related with limit utilize and reliability advantage charges are resolved and various optimization techniques are acknowledged of action of the goal work.

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Section: Lmbp Transmission Loss and Cost Allocation Problemsmentioning

confidence: 99%

Analysis of Transmission Cost Allocation Strategies with Reliability for Deregulated Systems

2019

IJITEE

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“…Option generation: The options are generated from the combinations of decision variables within the feasible decision variable space as described in Section 4.5. For each combination of feasible decision variables (allocated wind generation capacity for each power system), the interconnection expansion objective function is solved using LP constrained by (7)- (10). The method for the interconnection expansion capacity requirement for each option is illustrated in Section 4.2.…”

Section: Wind Generation Sharing Algorithmmentioning

confidence: 99%

“…Utilities can take advantages of the diversity in the load and generation mix, shared reserve capacity, differences in unit forced outage rates and maintenance schedules. Deregulated market policies permit the generators in the interconnected systems to participate in the competitive energy market environment allowing the utilities to take advantage of the wind generation diversity in spatially separated wind farms [10]. Jointly owned generation plants among the interconnected systems enable the utilities to share the generation resources of certain geographical locations [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

New approach for sharing wind generation spatial diversification in multi‐area power systems using trade‐off analysis

Abdullah

Muttaqi

Agalgaonkar

et al. 2014

IET Generation, Transmission & Distribution

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Wind is one of the fast growing renewable resources that can significantly contribute in achieving emission-free electricity generation system. Since wind resources are distributed across geographical locations, wind resource sharing among different geographical locations is essential to facilitate wind energy penetration and its full utilisation. A wind resource sharing strategy, for interconnected electricity networks, to achieve the national and regional renewable energy target is presented in this study. A multi-objective decision making problem has been formulated to optimally share the installed wind generation capacity in a multi-area power systems. Computational models have been developed for wind generation adequacy, emission reduction from wind energy and capacity upgrade requirements for tie-line interconnections. Trade-off analysis has been used to select the best wind resource sharing options. The proposed wind resource sharing strategy has been applied to the interconnected power systems operated within the National Electricity Market (NEM) framework of Southeast Australia to share the available wind resources within the geographical areas of the participating states in the NEM.

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“…Some authors tried to solve the issue by altering the LMPs to recover the TNC using the concept of Ramsey pricing [10], and introducing the generation and nodal injection penalties into the economic dispatch [11]. Marginal and incremental cost allocation methods, based on the concept of sensitivity indices, are other pricing schemes widely applied in the literature, until recently [12]. The main drawback of these methods is their sensitivity to the choice of the slack bus.…”

Section: Introductionmentioning

confidence: 99%

Circuit-theory-based method for transmission fixed cost allocation based on game-theory rationalized sharing of mutual-terms

Pouyafar

Hagh

Zare

2019

J. Mod. Power Syst. Clean Energy

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This paper proposes a new method to allocate the transmission fixed costs among the network participants in a pool-based electricity market. The allocation process relies on the circuit laws, utilizes the modified impedance matrix and is performed in two individual steps for the generators and loads. To determine the partial branch power flows due to the participants, the equal sharing principle is used and validated by the Shapley and Aumann-Shapley values as two preferred game-theoretic solutions. The proposed approach is also applied to determine the generators' contributions into the loads, and a new concept, named circuit-theory-based equivalent bilateral exchange (EBE), is introduced. Using the proposed method, fairly stable tariffs are provided for the participants. Cross-subsidies are reduced and a fair competition is made by the proposed method due to the counter-flows being alleviated compared with the well-known Z-bus method. Numerical results are reported and discussed to validate the proposed cost allocation method. Comparative analysis reveals that the method satisfies all conditions desired in a fair and efficient cost allocation method. Finally, the developed technique has been implemented successfully on the 2383-bus Polish power system to emphasize that the method is applicable to very large systems.

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A New Methodology for Cost Allocation of Transmission Systems in Interconnected Energy Markets

Cited by 28 publications

References 21 publications

Analysis of Transmission Cost Allocation Strategies with Reliability for Deregulated Systems

Analysis of Transmission Cost Allocation Strategies with Reliability for Deregulated Systems

New approach for sharing wind generation spatial diversification in multi‐area power systems using trade‐off analysis

Circuit-theory-based method for transmission fixed cost allocation based on game-theory rationalized sharing of mutual-terms

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