[Objective] Power chemistry is a key engineering discipline for ensuring the safe and efficient operation of power systems. Using the method of scientific knowledge mapping

this paper systematically reviews the evolution of the field's knowledge structure

the migration of research hotspots

and the composition of the academic community

reveals its developmental trajectory and frontier dynamics

and provides data support and theoretical reference for researchers to grasp the patterns of evolution. [Methods] This study employs CiteSpace software to conduct a visual analysis of 628 documents retrieved from the core database of China National Knowledge Infrastructure(CNKI) spanning 2000–2025. [Results] The results show that publication output exhibits an “S”-shaped growth curve

going through three stages: initial exploration

explosive growth

and adjustment toward stabilization. In the early stage

research focused on basic support technologies such as chemical water treatment

water quality analysis

and chemical supervision. In the middle stage

it shifted toward advanced treatment technologies including reverse osmosis

dual-membrane processes

and electrodeionization. At the current stage

the focus has turned to chemical wastewater treatment

system optimization

and intelligent monitoring. A collaborative industry-university-research network centered on power generation groups

research institutes

and universities has taken shape

yet in-depth cross-institution collaboration still needs to be strengthened. [Conclusion] The connotation of power chemistry research has evolved from ensuring unit safety to pursuing green

low-carbon

and intelligent development. Future research should prioritize the following four directions. The first priority is to develop low-cost

modular ZLD and resource recovery technologies

particularly salt separation crystallization and resource recovery pathways for desulfurization wastewater and high-salinity wastewater. The second priority is to integrate big data and artificial intelligence to construct intelligent diagnosis and early warning systems

facilitating the intelligent transformation of chemical supervision from “post-analysis” to “pre-warning” and “dynamic optimization”. The third priority is to strengthen interdisciplinary efforts to study the synergistic optimization of the whole-plant water network and chemical control strategies under flexible operating conditions(e.g.

deep peak shaving). The fourth priority is to expand the research scope to extend the chemical supervision system to emerging energy technologies such as hydrogen energy

energy storage batteries(e.g.

flow batteries)

and solar thermal power

thereby constructing a full-lifecycle chemical supervision system for the new-type power system.