Analysis of the Equilibrium of Electricity Spot Market with the Participation of CSP

doi:10.12204/j.issn.1000-7229.2022.01.014

Abstract

Abstract:

In view of the low degree of participation in electricity market transactions of concentrating solar power (CSP) in China, market-related operation research is still blank. This paper considers CSP as the main body of the market and is aimed at the electricity spot market transaction. According to the analysis of its internal“light, heat, and electricity”energy flow characteristics, an operation model of a CSP station with thermal energy as the energy center is constructed. Then, with the goal of maximizing the electricity sales revenue of CSP, a market transaction decision model based on the multi-oligarch Cournot model is constructed, and the solution process of its nonlinear complementary method is given. Finally, taking an actual CSP station as a reference, in three typical daily scenarios, an example simulation of CSP participating in electricity market transactions is carried out. The results show that: due to its excellent stable output, compared with traditional PV, CSP has a significant improvement in market competitiveness, which can largely make up for its lack of capacity cost. The surplus heat of CSP can better satisfy the demand for electro-thermal coupling system, replace cogeneration links, reduce operating costs, and meet the development needs of the integrated energy system in the future.

Key words: concentrating solar power, electricity spot market, Cournot game, equilibrium analysis, solar energy utilization

CLC Number:

TM61

LIANG Zheng, WEI Zhenbo, SUN Zhoubei, MA Zhicheng, ZHOU Qiang, SHAO Chong. Analysis of the Equilibrium of Electricity Spot Market with the Participation of CSP[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(1): 122-131.

Figures/Tables 17

Fig.1 The internal thermal energy flow of CSP

Table 1 Parameters of generators

Table 2 Parameters of CSP

Table 3 Parameters of PV

Table 4 Value of αt in each period

Fig.2 Predicted and actual DNIs of each scenario

Fig.3 Day-ahead electricity market trading results and electricity prices for each period in May

Fig.4 Day-ahead electricity market trading results and electricity prices for each period in July

Fig.5 Day-ahead electricity market trading results and electricity prices for each period in December

Fig.6 Deviations in the real-time market of CSP

Fig.7 Deviations in the real-time market of PV

Table 5 Power generation of each market participant MW·h

Table 6 Power generation of each market participant MW·h

Fig.8 Charging and discharging situation of the thermal storage system and the total thermal storage in each period in May

Fig.9 Charging and discharging situation of the thermal storage system and the total thermal storage in each period in July

Fig.10 Charging and discharging situation of the thermal storage system and the total thermal storage in each period in December

Table 7 Utilization of internal thermal energy and heat abandonment of CSP

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