Peak-Regulation Optimization Model for Gas-Fired Generators in Parks with P2G Employed Under Mixed Market Environment

doi:10.12204/j.issn.1000-7229.2020.10.012

Abstract

Abstract:

Clean energy power accommodation is a key goal that China has been chasing currently since the power market reform was carried out. Under this background, this paper constructs a peak-regulation optimization model for gas-fired generators in parks with power-to-gas units employed under the mixed market environment. Firstly, the structure of a park power system with photovoltaic and wind power generators, gas-fired generators, a power-to-gas converter, and a gas storage tank is designed. Secondly, with consideration of the green certificate market and peak-regulation compensation mechanism, green certificate trading models for power units in the park and a peak-regulation compensation model are both built. Thirdly, a mathematical model of economic dispatch for park power supply systems with power-to-gas units and clean energy power generation is built, in the pursuit of the minimum CO₂ emission and the maximum clean energy power accommodation, peak-regulation willingness of gas-fired generators and system’s revenue. The model is solved by using the chaos particle swarm optimization algorithm. The following results are obtained: 1) the consumption rate of clean energy power has increased 6.69% and the CO₂ emission has reduced 14.66 tons, in the scenario with both power-to-gas and peak-regulation compensation mechanism involved; 2) the revenue of the system has increased up to 187,060 Yuan, after fully considering gas-fired generators’ participation in peak regulation, thus verifying the effectiveness of the proposed model and showing a better convergence effect of the algorithm.

Key words: power-to-gas(P2G), green certificate market, peak-regulation optimization for gas-fired generators, chaos particle swarm optimization algorithm

CLC Number:

TM73

LIN Hongyu, YAN Qingyou, DE Gejirifu, YANG Shenbo, WU Jing, FAN Wei, TAN Zhongfu, CUI Zhantao. Peak-Regulation Optimization Model for Gas-Fired Generators in Parks with P2G Employed Under Mixed Market Environment[J]. ELECTRIC POWER CONSTRUCTION, 2020, 41(10): 106-115.

Figures/Tables 20

Fig.1 Park power system’s structure under the green certificate trading and electricity markets

Table 1 Classification of peak regulation

Fig.2 Solution steps

Table 2 Scenario setting

Table 3 Parameters of photovoltaic and wind power generators

Table 4 Parameters of the P2G converter and gas storage tank

Table 5 Parameters of gas-fired generators

Fig.3 Output of photovoltaic and wind power generators, and park loads in different periods

Table 6 Quotation intervals of real-time paid peak regulation

Fig.4 Clearing prices of peak-regulation compensation in different periods

Table 7 Prices of electricity, gas and green certificate

Table 8 Operation of units in different markets under scenario 1

Table 9 Operation of units in different markets under scenario 2

Table 10 Operation of units in different markets under scenario 3

Table 11 Operation of units in different markets under scenario 4

Fig.5 Clean energy utilization

Table 12 Gas-fired generators’ willingness of peak regulation

Table 13 CO2 emissiont

Fig.6 Net income of the system

Fig.7 Convergence curve of the algorithm

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