A method for estimating the frequency and cost of voltage sags

Heine, Pirjo; Pohjanheimo, P.; Lehtonen, Matti; Lakervi, E.

doi:10.1109/tpwrs.2002.1007895

Cited by 82 publications

(37 citation statements)

References 7 publications

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“…The major factor of customer potential economic losing cost is the severity depends on the configurations, functions, loading conditions, and installation sites, and protect set, etc., which reflects its voltage sag on the sensitive equipment of the connection bus [9]. The potential cost of customer depends on operating conditions; similarly the uncertain area of tolerant capacity relies to the type of equipments.…”

Section: A Power Quality Disturbancesmentioning

confidence: 99%

“…According to the given reliability parameters of different types of lines, if a three-phase fault occurs on power line k, voltage magnitude at bus m is obtained by [9]:…”

Section: A Power Quality Disturbancesmentioning

confidence: 99%

“…U rm is the retained voltage of sag in bus m, U m pref , U f pref are the pre-fault voltage at bus m and f, the length of line is 1p.u., Z ii, Z jj are the driving-point impedances of buses i and j; Z mi , Z mj , Z ij are transfer impedances between the corresponding couples of buses; z ij the physical impedance of line k. Moreover, if an unbalanced fault occurs on line k, the voltage magnitude of bus m is shown in[9] in detail.Owing to the stochastic fault in system and distribution of voltage magnitude at bus m caused by line, probability density function of severity for voltage sag at bus m can be calculated by maximum entropy method proposed in[10…”

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confidence: 99%

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Distribution system programming method with high power supply quality considering the customer requirements

Chen¹,

Shao-Zhi²,

Zheng³

2014

2014 International Conference on Power System Technology

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In the proposed method, the requirements of different customer connected to the distribution system are determined and measured by customer satisfaction degree, where, the direct and indirect economic losses caused by the power quality disturbances occurring in the distribution system can be determined by the customer satisfaction degree. By the help of customer losses, a high supply quality system programming model and method are developed. Considering the compatibility between power quality disturbances caused by distribution system fault and customer requirements, maximum entropy method is used. The proposed method is validated by a test system. The results have shown that the proposed method can insure the power supply quality with appropriate cost.

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Section: A Power Quality Disturbancesmentioning

confidence: 99%

“…According to the given reliability parameters of different types of lines, if a three-phase fault occurs on power line k, voltage magnitude at bus m is obtained by [9]:…”

Section: A Power Quality Disturbancesmentioning

confidence: 99%

mentioning

confidence: 99%

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Distribution system programming method with high power supply quality considering the customer requirements

Chen¹,

Shao-Zhi²,

Zheng³

2014

2014 International Conference on Power System Technology

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“…For the different customer equipments, the frequency of specific voltage magnitude (50 % [11]) is error to assess the customer potential cost due to multi-uncertainty. So, the evaluation of uncertain state is the important part of finding potential cost.…”

Section: B the Uncertainty Of The Influence To Customer Bymentioning

confidence: 99%

“…Unfortunately the existing planning methods seldom involve the measurement of sag cost since they only consider the serious situation such as outage, restart, and scrap and so on [11]. Likewise, the economic appraise of power quality hold interrupt cost as the most important part, meanwhile researching in customer potential cost.…”

Section: A the Customer Potential Cost Assessment Modelmentioning

confidence: 99%

Programming Model and Method for the Customer Friendly Distribution System

Liu

Shen

Xiao

2010

2010 Asia-Pacific Power and Energy Engineering Conference

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In modern grid, the programming model and method of a customer friendly distribution system, a new concept, are proposed in the paper. The influences of construction cost, operating cost and customer losses etc are considered especially the customer's potential loss caused by power system disturbances which is evaluated based on the customer satisfaction degree. Maximum entropy and fuzzy based method is used to analyze the compatibility between system disturbance and equipment voltage tolerance. The proposed method has been applied to Garver-6 and the results prove that the planned distribution system is better.

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