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An Agent-based Simulation Research for Trans-provincial Power Market and Peak Regulation Market of East China Power Grid

Author: FanJie
Tutor: ZouBin
School: Shanghai University
Course: Systems Engineering
Keywords: power market agent-based simulation East China Grid trans-provincial centralized trade peak regulation market
CLC: TM743
Type: Master's thesis
Year: 2013
Downloads: 3
Quote: 0
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Abstract


East China trans-provincial centralized auction trading platform is the onlylong-term competitive bidding power market in operation. Nearly three years ofoperations, the market transactions have become one of the main ways of the powertrading in East China Power Grid. The market has successfully achieved a win-winsituation for buyers and sellers as well as social benefits.On the basis of successful operation of the trans-provincial power tradingpatterns, in order to solve the problems of the East China regional peak regulationdifficulties, the construction of the peak regulation market power trading market wasput out. In this dissertation the operational status of the two trans-provincial powermarkets had been studied based on agent-based simulation models, marketcharacteristics also had been discussed.This dissertation mainly contributes to the following aspects:(1) In this dissertation, the relationship between the generation units’ operation costsand load rate is used to construct operation functions respectively, which candescribe part-electricity competition precisely, and the trans-provincial centralizedbidding platform and peak regulation market have been modeled by agent-basedsimulation method.(2) In this dissertation an agent-based simulation model is employed to model to thetrans-provincial electricity market of East China Grid by comparing the actualoperation of the market data and simulation results, the presented model is proved tobe correct. Through the analysis of the results of the model, this dissertation furtherreveals the path of the market to achieve win-win situation: Generation companiesimprove the average capacity factor through selling their power in the market, whichmakes generators’ cost dropped, per generating profit raised, and the transactionprice lower than the non-market purchase of electricity. Moreover, efficientgenerating units win more generating contracts through market competition thannon-market purchasing, which reduce the level of energy consumption per unit of power.(3) In this dissertation, the analysis of peak regulation trading market by agent-basedsimulation show that the trading volume of the market is considerable, and also themarket has a good market characteristics, generation units would bid by their cost.The simulation results also point out that low-cost units can replace high-cost unitsduring the transactions, which leads to the reducing of average coal consumption.Moreover the net loss payments have a great impact on market transactions.

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system simulation and calculation > Modeling and Simulation
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