Development of an interactive rule-based system for bulk power system restoration

Teo, C.Y.; Shen, Wei

doi:10.1109/pess.2000.867539

Cited by 3 publications

(6 citation statements)

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“…During reconfiguration process, since the restored system is under a light‐load condition, excessive reactive power produced by the transmission lines could result in some operational problems, such as steady‐state overvoltage and stator end overheating etc. Thus, minimisation of charging reactive power should be the primary objective of energising path optimisation [27]. Under such circumstances, the path optimisation problem could be modelled as a local minimum spanning tree problem (also called the Steiner tree problem) in graph theory [13, 28, 29].…”

Section: Analysis Of Alternative Energising Path Optimisation Problemmentioning

confidence: 99%

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Optimisation and comprehensive evaluation of alternative energising paths for power system restoration

Zhou

et al. 2019

IET Generation Trans & Dist

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Power system restoration after a major blackout is a complex process, in which selection of energising paths is a key issue to realize unit and load restoration safely and efficiently. In general, the energising path scheme made beforehand may not be executed successfully due to the possible faults on the related lines under the extreme system condition, so it is necessary to provide alternative path schemes for system restoration. In view of this, the energising path optimisation based on the minimum cost flow model is investigated, then an iterative searching method for alternative path schemes based on mixed integer linear programming is proposed. The iterative method for alternative path schemes could determine more than one scheme with minimal charging reactive power efficiently. In order to make a comprehensive evaluation of the alternative schemes, an evaluation index set is established, and the method based on similarity to ideal grey relational projection is introduced to achieve the final evaluation. The New England 10-unit 39-bus system and the southern Hebei power system of China are employed to demonstrate the effectiveness of the proposed method. The proposed method can provide more efficient and comprehensive decision support for the dispatchers to select reasonable energising paths.

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Section: Analysis Of Alternative Energising Path Optimisation Problemmentioning

confidence: 99%

“…(ii) Reactive power constraint: The excessive charging reactive power generated by transmission lines may lead to sustained overvoltage since the system is in a light-load state [27]. Therefore, the reactive power constraint [30] is defined as follows:…”

Section: Constraintsmentioning

confidence: 99%

Optimisation and comprehensive evaluation of alternative energising paths for power system restoration

Zhou

et al. 2019

IET Generation Trans & Dist

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“…To minimize the duration, an optimal power flow (OPF) algorithm with minimal adjustment of each generating unit is established. Based on the ramping rate of a generating unit, the minimal adjustment corresponds to the shortest time to implement this objective: In this problem, (10) is the limit of each generating unit, and it is determined by the upper limit and ramping rate of a generating unit; (11) represents power flow equations for the energized block at stage ; (12) describes physical constraints of each generating unit, critical load, and dispatchable loads; (13) and (14) are limits of voltage and power flow through each line at stage . It should be noted that all constraints at stage are already met in the last step; only the constraints for stage are involved here.…”

Section: Algorithm 3: Finding An Acceptable Operating Point Of the Symentioning

confidence: 99%

“…Restoration plans are developed with basic simulation tools for power flow, dynamics [3], [9], [10], and electromagnetic transients [11], [12]. These plans developed offline are used as guidelines for dispatchers in an online environment [13], [14]. Dispatchers need to adapt to actual outage scenarios and available resources and be able to develop the strategy based on their experience.…”

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confidence: 99%

Computation of milestones for decision support during system restoration

Hou

Liu

Sun

et al. 2011

2011 IEEE Power and Energy Society General Meeting

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System restoration involves status assessment, optimization of generation capability, and load pickup. The optimization problem needs to take complex constraints into consideration, and therefore, it is not practical to formulate the problem as one single optimization problem. The other critical consideration for the development of decision support tools is its generality, i.e., the tools should be portable from a system to another with minimal customization. This paper reports a practical methodology for construction of system restoration strategies. The strategy adopted by each power system differs, depending on system characteristics and policies. A new method based on the concept of "generic restoration milestones (GRMs)" is proposed. A specific restoration strategy can be synthesized by a combination of GRMs based on the actual system conditions. The decision support tool is expected to reduce the restoration time, thereby improving system reliability. The proposed decision support tool has been validated with cases based on a simplified Western Electricity Coordinating Council (WECC) 200-Bus system and Hawaiian Electric Company system.

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“…Hao is with the School of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China (e-mail: haolili@njtech.edu.cn). DOI: 10.35833/MPCE.2021.000030 power outage scenarios, external environments, and restoration processes, in addition to evaluating the expected restoration incomes and security risks of restoration plans in the decision-making process [26], [32], some studies propose the on-line decision-making frameworks to monitor the operation results of restoration plans and trigger the re-optimization process when necessary [26], [33], [34], but there is still a lack of adaptive strategies to deal with uncertain events in multi-partitions. Besides, there is little research on collaborative restoration with distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Decision Support System for Adaptive Restoration Control of Transmission System

Xue

Wang

et al. 2021

Journal of Modern Power Systems and Clean Energy

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The power system restoration control has a higher uncertainty level than the preventive control of cascading failures. In order to ensure the feasibility of the decision support system of restoration control, a decision support framework for adaptive restoration control of transmission system is proposed, which can support the coordinated restoration of multiple partitions, coordinated restoration of units and loads, and coordination of multi-partition decision-making process and actual restoration process. The proposed framework is divided into two layers, global coordination layer and partition optimization layer. The upper layer partitions the transmission system according to the power outage scenario, constantly and dynamically adjusts the partitions during the restoration process, and optimizes the time-space decision-making of inter-partition connectivity. For each partition, the lower layer pre-selects restoration targets according to the estimated restoration income, optimizes the corresponding restoration paths, and evaluates the restoration plans according to the expected net income per unit of power consumption. During the restoration process, if the restoration operation such as energizing the outage branch fails, the current restoration plan will be adaptively switched to the sub-optimal one or re-optimized if necessary. The framework includes two operation modes, i. e., the on-line operation mode and training simulation mode, and provides an information interaction interface for collaborative restoration with related distribution systems. The effectiveness and adaptability of the proposed framework is demonstrated by simulations using the modified IEEE 118-bus system.

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Development of an interactive rule-based system for bulk power system restoration

Cited by 3 publications

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Optimisation and comprehensive evaluation of alternative energising paths for power system restoration

Optimisation and comprehensive evaluation of alternative energising paths for power system restoration

Computation of milestones for decision support during system restoration

Decision Support System for Adaptive Restoration Control of Transmission System

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