###### Abstract
Combined hydrogen, heat, and power (CHHP) meets heat, hydrogen, and power demands simultaneously. CHHP includes an electrolyzer, fuel cell, heat exchange unit, and thermal and hydrogen storage units. Due to the low efficiency of the electrolyzer, its input power is fed by a smart parking lot (SPL). Determining the optimal size of distributed generation resources is done in local modes and the grid-connected mode. In [1], the optimal design of an energy hub with various energy systems was investigated. Simultaneous generation of electricity and heat and natural gas boilers was considered in the energy hub. In research carried out in Darmstadt, Massachusetts, to reduce energy costs and environmental concerns, economic parameters were considered as uncertainties, and the results confirmed the feasibility of the plan [2]. The feasibility of installing micro-turbines in United Kingdom buildings was evaluated [3]. Utilizing electrical storage devices for microgrid management was analyzed using a new optimization algorithm called the bat algorithm [4]. The results demonstrate the positive effect of adding storage facilities to reduce system operating costs and boost the quality of energy supply to consumers. In [5], the impact of private sector investors' participation and the distribution system operator on the profits of the involved parties was studied. The private sector investor owns a photovoltaic system and electric energy storage. In addition to providing the profit function, the distribution system's technical constraints were also improved compared to the base state. Various plans have been taken into consideration by power system officials to make the energy sector more attractive to private sector investors. In [6], the profit function of the distribution system operator was integrated with the private sector investor's profit function to attain satisfactory answers for both parties in different cases by solving these functions. In general, there are three types of loads: industrial, commercial, and household. Household load requires the appropriate selection of the type of distributed generation source due to the electrical and thermal demand. In [7], the authors utilized the simultaneous generation of heat and electricity and diesel generators to supply the energy required by household consumers. Moreover, they applied thermal and electrical storage for proper management of the two types of demand, electrical and thermal. Consumption-side management includes the establishment of programs called demand response programs to improve the daily load curve to prevent coups and sudden power outages for consumers. In [8], the issue of optimal microgrid design was investigated by considering an objective function based on reliability. The effect of the load response program on the network load curve and the overall cost was also examined. To increase the effect of the DR program in short-time studies, additional investment was applied [9]. Real-time response capability was provided by integrating DR control and air conditioners into the basic electronic devices [10]. Different methods have been introduced to model system uncertainties. Monte Carlo (MC), the point estimate method, the symmetric two-point estimate method (S2 PEM), fuzzy logic, and artificial intelligence algorithms are common approaches to modeling un certainties. In [11], a combination of the MC method and linearized power flow equations was employed to model probabilistic planning problems. In order to make much fewer simulations, the authors employed S2 PEM and utilized deterministic routines to find the statistical moments of the time series [12]. The fuzzy logic model was employed to model load and power flow equations' probabilistic behavior [13], and an intelligent network was used to model the market pricing model [14]. ISO made a decision to choose the best bids among all of the DISCOS proposed prices. All of the bids were offered by considering the predicted load curve and energy demand [15].