East China Electrical Power Grid Corporation

Shanghai, China

East China Electrical Power Grid Corporation

Shanghai, China
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Gu J.,Shanghai JiaoTong University | Yang Z.-L.,East China Electrical Power Grid Corporation | Cheng H.-Z.,Shanghai JiaoTong University | Yao L.,Alstom | And 2 more authors.
2010 China International Conference on Electricity Distribution, CICED 2010 | Year: 2010

Energy-saving emission reduction (ESER) is the key project of our society, and electricity energy saving is actually one of the most important parts to contribute ESER. The effect of electricity energy saving will have a bearing on the success or failure of ESER. Because the implementation process of ESER policy is now with quite short time period allowed and there will be a large amount of uncertainties within the implementation of the policy, these have imposed many challenges to achieve the ESER target. In this paper, a new method is proposed to analyze the relationship between the electricity intensity of key industries and the whole industrial electricity intensity to determine the critical industry of a certain region, which could integrate Grey Relational Theory, and implement in-depth relation analysis. Then the method is used to make the systematic analysis in East China region to check its feasibility for electricity energy saving. Finally, the critical industry for the electricity energy saving of East China region is determined and the analyzed result could provide a great help to the decision making about ESER of East China region. © 2010 Chinese Soc for Elec Eng.


Qu G.,Shanghai JiaoTong University | Cheng H.,Shanghai JiaoTong University | Yao L.,AREVA | Ma Z.,East China Electrical Power Grid Corporation | Zhu Z.,East China Electrical Power Grid Corporation
Electric Power Systems Research | Year: 2010

A power transmission expansion planning model with consideration of transmission surplus capacity and network load factor is presented. With traditional planning model, some transmission lines will operate on high load factors due to ignorance of the load levels of transmission lines. This may lead to network congestion or degrade the dispatch flexibility of future network. Traditional planning model has put more emphasis on investment cost rather than other aspects such as operation environment, transmission benefit, etc. The transmission expansion planning model in the paper aims to maximize network transmission surplus capacity and optimize network load factor distribution with least investment. Chaos Optimal Algorithm (COA) is introduced to solve this nonlinear integer planning optimization problem for its advantage of stochastic and ergodic searching characteristics. The effectiveness of proposed model and methodology is tested with two typical systems. © 2009 Elsevier B.V. All rights reserved.


Xiong N.,Shanghai JiaoTong University | Cheng H.,Shanghai JiaoTong University | Yao L.,AREVA | Gu Y.,Shanghai JiaoTong University | And 3 more authors.
IEEE Transactions on Power Systems | Year: 2010

In a space spanned by generation parameter, the different properties of loading margin surface and generation limit surface are investigated at first in this paper. Then, the shortage of taking the generation limit surface as limit boundary for generation rescheduling (GR) is elaborated and a developed GR model is presented. Additionally, in order to take the uncertainty of load pattern into consideration, a bilevel programming model with the opposite structure to each other is proposed. In this model, the upper level is used to optimize generation pattern (GP) for maximizing the loading margin while the lower level is used to determine the worst load pattern for checking the adaptability of the GP to the variation of the load pattern. A Step-by-step Approximation based Primal Dual Interior Point method (SAPDIP method) and Successive Linear Programming method (SLP method) are used to solve the two sub-models, respectively. The GP optimized by the proposed model reflects the balance between the variation and adaption, and is less sensitive to the changes in load pattern. Finally, the proposed method is tested on multiple standard IEEE test systems as well as a real power system in china. © 2010 IEEE.


Cai Y.-Z.,Shanghai Electric Power Company | Liu L.,Shanghai JiaoTong University | Cheng H.-Z.,Shanghai JiaoTong University | Ma Z.-L.,East China Electrical Power Grid Corporation | Zhu Z.-L.,East China Electrical Power Grid Corporation
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | Year: 2011

In order to effectively achieve the requirement of "economy" and reduce the waste during electric power construction, the principle of LCC technology is presented. The research status at home and abroad is reviewed. The applications of LCC technology in electric power facilities, power network planning, and power system asset management are analyzed separately. The multi-objective flexible planning model of transmission network based on LCC is established considering the load uncertainty. The two-dimensional LCC model of power system is proposed which consists of the system layer, device layer and the cost of environmental externalities. The influence of the reliability centered maintenance(RCM)technology is taken into account. Moreover, the key issues needed to be studied are pointed out, the outlook of the LCC technology in smart grid for the future is prospected, and some recommendations are brought forward.


Gu J.,Shanghai JiaoTong University | Qin K.-P.,Shanghai JiaoTong University | Ma Z.-L.,East China Electrical Power Grid Corporation | Yang Z.-L.,East China Electrical Power Grid Corporation | And 3 more authors.
Asia-Pacific Power and Energy Engineering Conference, APPEEC | Year: 2010

In full knowledge of the energy-saving and emission reduction (ESAER) policies in China, it is analyzed in this paper what the promising new futures in electricity demand in East China in the context of ESAER. To propose the well applicable load forecasting methods for East China power grid, where the ESAER policies have being intensively implemented since 2005, the reality of economic development and industrialization in East China are also discussed. Therefore the well-used long-term forecasting methods are analyzed detailed for their respective applicability under the background of ESAER. Furthermore, in order to take the influence of ESAER policies into account in the forecasting models, the "improved Solow forecasting method" is proposed in this paper. Then these methods are used to forecast the electricity demand from the year 2009 to the year 2015 for East China power grid to check their feasibility. Finally, the forecasting results of electricity demand in East China are analyzed and compared. ©2010 IEEE.


Liu L.,Shanghai JiaoTong University | Cheng H.,Shanghai JiaoTong University | Ma Z.,East China Electrical Power Grid Corporation | Zhu Z.,East China Electrical Power Grid Corporation | And 2 more authors.
2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010 | Year: 2010

In this paper, a two-dimensional Life Cycle Cost (LCC) model of power system planning as a whole is established in order to overcome the defect that the applications of LCC are traditionally limited to specific equipment or phase. The previous researches of LCC technology are reviewed. The cost breakdown structure is described in detail particularly from the device layer and the system layer. The maintenance costs combining with Reliability Centered Maintenance (RCM) and the failure costs combining with outage costs are analyzed significantly. Using this model, LCC estimate of two alternatives for transmission section of 500kV power system planning in East China Power Grid is implemented, during which the data management system, the LCC calculation results, the sensitivity analysis and the applications are all considered. The case results verity the feasibility and validity of this LCC model. The proposed approach provides a new idea and effective way to enhance the cost management business for the enterprises in the future. ©2010 IEEE.


Xiong N.,Shanghai JiaoTong University | Cheng H.,Shanghai JiaoTong University | Ma Z.,East China Electrical Power Grid Corporation | Zhu Z.,East China Electrical Power Grid Corporation
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2010

In multi-objective optimization, Pareto front can offer valuable tradeoff information between objectives, which is the basis for decision-making. Normal Boundary Intersection (NBI) is an effective method for evenly generating Pareto optimal solutions. In this paper, NBI method is introduced into generation dispatch, and another valuable index, i.e. degree of substitute index. Its expression is derived based on the NBI method. This index can intuitively reflect the substitute relation between the generation cost and loading margin, providing the decision-maker with important reference to determine the optimization scheme. Simulation results of a numerical example illustrate the validity of the method. ©2010 State Grid Electric Power Research Institute Press.

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