A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power

A bi-level integrated generation-transmission planning model incorporating the impacts of demand response by operation simulation

“…Eqs. (28) and (29) refer to the requirements of total contingency reserve and spinning reserve in the system, where CR1 is 5% of hydro generation + 7% of other conventional generation (excluding intermittent generation) + 10% of intermittent generation (wind power, solar power, etc. ), and CR2 is the power loss due to the outage of the largest generating unit at each hour [32].…”

“…A number of studies have been carried out to incorporate IBDR in UC models or economic dispatch models [22][23][24][25][26]. In terms of effects, IBDR consists of load curtailment and load shifting [28]. The former effect can be treated as avoidable load.…”

Algorithm for Fuzzy Maximum Flow Problem in Hyper-Network Setting

“…Chance-constrained programming provides us a useful tools for modelling fuzzy decision systems [26][27][28][29][30]. The basic idea of chance-constrained programming of fuzzy maximum flow problem in hyper-networks setting is to optimize the flow value of hyper-network with some confidence level subject to certain chance constraints.…”

Analysis of Influence Factors of Power Demand in Jilin Province Based on Improved ISM Method in Low Carbon Environment

“…However, some literatures demonstrate that, the main determinants of electricity demand in China are the proportion of income and secondary industry, and the impact of electricity price on power demand is not significant (Rong Fan, 2012) [4]. But the impact of new energy [5,6] and new energy products [7] on power demand is increasing. This paper will take Jilin Province as an example to analyze the influence factors of power demand under the background of energy conservation and emission reduction and economic new normal.…”