Reserve Requirements to Efficiently Manage Intra-Zonal Congestion

Lyon, Joshua D.; Hedman, Kory W.; Zhang, Muhong

doi:10.1109/tpwrs.2013.2278537

Cited by 34 publications

(19 citation statements)

References 32 publications

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“…The removal of lines and shifting of load was originally done by [34] and the changing of line capacities by [35]. This test case does not have strong congestion patterns, so a small amount of congestion is induced as in [36] by tripling the capacity of inexpensive hydro power in the area consisting of buses 1-24 and removing hydro from all other areas.…”

Section: Analysis and Results: Ieee 73-bus Test Casementioning

confidence: 99%

Capacity response sets for security-constrained unit commitment with wind uncertainty

Lyon

Zhang

Hedman

2016

Electric Power Systems Research

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Power systems face growing uncertainty from intermittent renewable resources. This uncertainty makes it harder to schedule generators efficiently because the economics depend on unknown outcomes. This research modifies security-constrained unit commitment to anticipate the cost of dispatching backup capacity if and when it is needed. The model uses capacity constraints to cover individual scenarios by defining scenario response sets, which are revised iteratively using a mixed-integer program.The approach provides a mathematical way to derive capacity requirements like those used today in CAISO and ISO-NE. Testing on the IEEE 73-bus test case demonstrates the capacity requirements are economical compared to other deterministic policies from the literature.

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Section: Analysis and Results: Ieee 73-bus Test Casementioning

confidence: 99%

Capacity response sets for security-constrained unit commitment with wind uncertainty

Lyon

Zhang

Hedman

2016

Electric Power Systems Research

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“…Weekend testing captures the impact of the proposed method on off-peak days. Modifications to the test case follow [26]: line (11-13) is removed; 480 MW of load is shifted from buses 14, 15, 19, and 20 to bus 13; and the capacity of line (14-16) is decreased to 350 MW. These modifications affect each of the three identical areas within the system.…”

Section: Analysis and Results: Rts 96 Test Casementioning

confidence: 99%

“…One way to mitigate intra-zonal congestion is to procure a reserve margin for more dispatching freedom to alleviate congestion [26]. For example, PJM requires reserve to exceed roughly 1.5 times the largest contingency and WECC requires reserve to cover 6% of load plus 3% of exports [27], [28].…”

Section: Requirementsmentioning

confidence: 99%

Locational Reserve Disqualification for Distinct Scenarios

Lyon¹,

Zhang²,

Hedman

2015

IEEE Trans. Power Syst.

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Abstract-Reserve requirements promote reliability by ensuring resources are available to re-balance the power system following random disturbances. However, reliability is not guaranteed when reserve dispatch is limited by transmission constraints. In this work, we propose a modified form of reserve requirement that identifies response sets for distinct contingency scenarios. The approach disqualifies reserve from counting towards a particular scenario if transmission constraints are likely to render that reserve undeliverable. A decomposition algorithm for securityconstrained unit commitment dynamically updates the response sets to address changing conditions. Testing on the RTS 96 test case demonstrates the approach applied in tandem with existing reserve policies to avoid situations where reserve is not deliverable due to transmission constraints. Operational implications of the proposed method are discussed.

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“…In the US, traditional reserve requirements have partitioned the grid into deterministic reserve zones, mainly based on ad-hoc rules [10]. Disregarding the intra-zonal constraints, and thereby the grid location of reserves procured within a zone, incurs the risk of ineffective means to handle intra-zonal congestion [11]. Moreover, since all reserves within a zone are assumed to have equal shift factors on critical lines, the true deliverability of the procured reserves will be imprecise.…”

Section: Introductionmentioning

confidence: 99%

Preventing Internal Congestion in an Integrated European Balancing Activation Optimization

2019

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New common platforms for optimization of balancing energy activation will facilitate cross-border exchange and integrate the fragmented European balancing markets. Having a zonal market structure, these platforms will optimize balancing actions as if intra-zonal transmission constraints did not exists, leaving it to each Transmission System Operator (TSO) to manage internal congestion caused by balancing energy activations. This paper describes a new method to pre-filter balancing bids likely to cause internal congestion due to their location. Furthermore, the complementary concept of exchange domains has been developed to prevent congested and infeasible balancing situations. A numerical example illustrates both the effectiveness and limitations of each method.

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Reserve Requirements to Efficiently Manage Intra-Zonal Congestion

Cited by 34 publications

References 32 publications

Capacity response sets for security-constrained unit commitment with wind uncertainty

Capacity response sets for security-constrained unit commitment with wind uncertainty

Locational Reserve Disqualification for Distinct Scenarios

Preventing Internal Congestion in an Integrated European Balancing Activation Optimization

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