Abstract

China has declared ambitious carbon emission reduction targets and will integrate increasing shares of variable renewables for the next decades. The implementation for flexibility modification of thermal power units and deep peak regulation ancillary service market alleviates the contradiction between rapid capacity growth and limited system flexibility. This paper establishes three flexibility modification schemes and two price rules for simulation and proposes an analysis framework for unit commitment problem based on mixed-integer linear programming to evaluate the policy mix effects. Results confirm the promoting effects of flexibility modification on integrating variable renewables and illustrate diverse scheme selections under different renewables curtailment. Particularly, there is no need for selecting expensive schemes which contain more modified units and more developed flexibility, unless the curtailment decrement is compulsorily stipulated or worth for added modification cost. Similarly, results also prove the revenue loss compensation effect of deep peak regulation ancillary service market and illustrate diverse price rule selections under different curtailment intervals. Price rule with more subdivided load intervals and bigger price differences among them is more effective, especially under the higher requirement for curtailment rate. Therefore, the government should further enlarge flexibility modification via but not limited to more targeted compensation price, while generators should further consider a demand-based investment.

Highlights

  • China has announced its carbon emission reduction targets for 2030 and 2060

  • China cases based on dynamic computable general equilibrium model and evolutionary game theory combined with system dynamics, the internal economic logic for macro level and industry level and tradeoffs among different energy market subjects have been taken into more consideration [40,41]. Compared with these engineering and academic methods, the mixed-integer linear programming (MILP)-unit commitment (UC) modeling applied in this paper reveals the basic solving principle for simulating and optimizing power system operation, though there is an obvious gap in methodology complexity

  • The international price rules and the trading mechanism for the electricity spot market are not suitable for China, as these two markets still need further modification to cooperate in the short-term. This policy mix for flexibility modification and deep peak regulation ancillary service market is of great importance for reducing variable renewable energy (VRE) curtailment rate and will inevitably play a significant role in future high VRE integration

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Summary

Introduction

China has announced its carbon emission reduction targets for 2030 and 2060. There are few options for China’s power system to fulfill these targets except two alternatives. One is to integrate increasing shares of generations from variable renewable energy (VRE) [1]. The other is to make clean and effective utilization of thermal power units, which have been accounting for a significant share of China’s power supply [2]. The former inevitably produces higher demand for system flexibility, which is mainly provided by thermal power units in China [3]. The more VRE is integrated, the lower load rate these inflexible units operate at, which hinders higher operating hours, longer life cycle, and better energy efficiency for thermal power units recommended by the latter [4]

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