Research On Asset Management Models And Applications Of Power Grid Enterprise

As increasing complicated management environment of power grid enterprises dueto the deepening of the smart grid, power grid enterprises have never been faced withdouble pressure from ensuring power supply service quality and optimizing investmentand cost expense as today. Carrying out asset management efficiently will undoubtedlybe an inevitable choice for international power grid enterprises to cope with suchdilemma. For a long time, an outstanding characteristic of power grid enterprises isasset-intensive. The key problems of improving the business performance of power gridenterprises are how to operate the increasing huge assets efficiently and achieve optimalmanagement of power grid assets. After a long time global study, power grid assetshave the characteristics of regional decentralization, rapid development, large amount ofnew access and frequency changes, etc. Compared with telecom company, petroleumenterprise, even generation enterprises and other asset-intensive enterprises, the assetmanagement of power grid enterprises is more complicated and difficult, whichdetermines that successful cases of other industries cannot be imitated simply.By taking the cost model of asset management of power grid enterprises as theresearch object, the life cycle cost model, equipment maintenance decision model ofpower grid enterprises and strategies of electric price management considering risk arerespectively studied in this paper.①The life cycle cost model of power equipment. Power equipments are the mainassets of power grid enterprises and their assets values at different stages during thewhole life cycle are different. Based on the life cycle cost of power equipments, the costmodel is studied by introducing grey system theory into the analysis of its whole lifecycle cost and establishing the whole life cycle model in this paper. Cost in the model isdivided into one-off investment cost and operation and maintenance cost, and thecalculation methods of operation and maintenance costs are emphatically studied. Thispaper proposes the application of using the synthesizing grey relational degree as theweights to calculate the operation and maintenance cost for the prediction grey areacaused by different periods of failure time. Then the calculation model can be achievedaccording to the maximum grey relational degree theory to confirm the best-fitdistribution of operation and maintenance cost. Taking the minimum whole life cycle cost as object and combine with thecalculation method of one-off investment cost based on time-proportion, the life cyclecost model of power equipment is established by integration of the two parts of cost.The calculation example in this paper carries out the decision analysis of whetheradopting conventional protection system or integrated automation system in substationwith above methods, calculates the LCC value, quantitatively indicates the applicabilityof grey system theory in the analysis and evaluation of LCC and obtains the judgmentsof integrated automation system according with the results of conventional method.②The power equipment bidding and purchasing decision based on cost-benefitanalyzing. Decision problems of electric power equipment purchasing in the assetsmanagement of power grid enterprises are studied. On the basis of analyzing the mainfactors influencing the cost-benefit performance of power equipment, the cost-benefitfuzzy synthetic assessment method is established. That the integrative cost-benefitevaluation ordering for the equipments participated in tender bidding is realized withthe method, can provide objective reference for equipment public bidding andpurchasing, reduce the uncertain factors in the bidding appraisal process as well asshows the potential application value of the method in power equipment purchasedecision.③The maintenance decision model of power assets management. Powerequipment maintenance management is another important job in assets management andthe difficult point is to establish the model simultaneously considering reliability andeconomy. Based on the integral benefits of power system, equipment maintenancedecision model needed in the assets management of power grid enterprises isestablished in this paper. The model has considered the increments of curtailment lossand expected loss caused by maintenance outage, the change of initiative loadcurtailment and the increments of network losses in curtailment loss, and the influenceon the reliability and economy of the whole system due to the maintenance of one orsome equipment are well considered. The model proposed above is favorable for powergrid enterprises to furthest reduce the operation cost under the premise of guarantee ofpower system security so as to achieve the overall balance of system reliability andeconomy.④The operation risk related to electricity price. Electricity price is an importantfactor in evaluating the change of power grid assets. Operation risk factor is introducedinto electric price management in order to make up for the deficiency of traditional electric price management method of power grid enterprises. It is pointed out thatcorrecting spot price cannot use the results of traditional reliability assessment but theevaluation value of short-term operation risk. Firstly, a peak valley electricity pricemodel with operation risk is taken into consideration.Then a new strategy of electricprice management considering short-term operation risk of power system is proposed. Itis based on the operation risk level during various periods to adjust the price. When theoperation risk level is high, reducing risk can be achieved by raising prices to impel thepower consumers to reduce the electricity consumption or adjusting the time of powerconsuming. When the operation risk level is low, the system stability can be guaranteedby lowering the price to motivate the increment of power consuming at an acceptablerisk level.⑤The life cycle asset management practice based on power asset model.According to the established asset life cycle cost model and decision-making theory, thelife cycle asset management practice is carried out in Guangdong power gridcorporation and the four-factors management model based on LCC model is proposed,including the total life cycle of assets, service reliability, efficiency and service life.Finally, in accordance with the four key factors the serial examination index isestablished and the management guarante system is constructed.