MES, but demonstrate promising potentials in dealing with the poor utilization problem of the RES at the same time [6; 7; 8; 9; 10; 11; 12; 13; 14]. CCHP and P2H/G2P are multi-energy generating technologies. As a CCHP plant is supposed to provide cooling, heat, and electricity supply at the same time, it is usually composed of multiple types of energy generating devices, which provide abundant generating options and redundant energy pathways [7; 13; 14]. For instance, heat can be produced by electrical heaters with electricity, or by combustion heat generators with fuel; cooling can be produced by an electric chiller with electricity, or by heat pumps with heat. It suggests that the input and output of CCHP plant can be adjusted with purposes while meeting the ME demands. Reference [6] investigates the impact of the flexible dispatch if the CCHP plants on the operation performance of the integrated electrical and natural gas network, reference [7] investigates its potential in providing real time demand response services. It is this flexibility both regards generation and system dispatch that could be particularly relevant to providing real time ancillary and accommodating the RES. As for P2H/G2P facilities, they can store power into hydrogen through P2H process, or reversely release the power through G2P process [15]. Its use in accommodating RES is quite intuitive and has been widely studied [9; 15; 16; 17]. Reference [15] assesses the potential for P2H to increase wind power dispatchability, and reference [17] explores how to integrate P2H into power systems for load balancing. In [10; 18], the potential of the energy hub equipped with a P2H facility (electrolytezer) and a gas-to-power (G2P) facility (hydrogen gas turbine) is illustrated in accommodating the volatility introduced by a large wind power penetration. With CCHP plants and P2H/G2P plants deployed, the excess of RES outputs can be stored in hydrogen, or/and fuel the electricity-driven devices to supply the ME demands; and when there is a lack of RES outputs, the electricity stored in hydrogen can be released through G2P process, and ME demands could mainly be produced by the fuel-dependent devices. As a greener means of transportation, EVs have gained increasingly higher market share in recent years, especially in China [19]. It poses a challenge as well as a significant opportunity to the conventional energy system [20; 21]. Though the EV charging loads risk aggregating the daily peak loads and causing power congestions, appropriate demand side management could encourage the EV customer to delay their charging behavior, which can shift the charging loads from peak hours to off-peak hours [22; 23; 24; 25]. In the same way, through scheduling EV charging loads to coincide with periods of strong wind or sun, greater adoption of RES could be achieved. Many studies about the demand side management of EV charging loads have been published [24; 25], and economic signal are mostly employed to pre-schedule the EV charging customers' load profile. Reference [23] proposes a decentralized demand side management method based on time-varying prices, to both maximize the aggregators' profits while minimize the consumers' costs. Reference [24] jointly considers the customers' charging requirements and system load profile, proposes a coordinated charging strategy aiming to achieve peak shaving by heuristically setting dynamic time-of-use (TOU) pricing strategy. In [25], the demand response of EV customers to peak-valley pricing is modelled based on price elasticity matrix. On the one hand, these ME applications bring advanced new functionalities and dispatch resources to the MES and provide possibilities in improving the MES operation, including accommodating more RES. On the other hand, they increase to the total complexity of the operation model of the MES and complicate the entire energy management process.