Day-ahead economical planning of multi-vector energy district considering demand response program. (15th February 2023)

• Record Type: Journal Article
• Authors: Ghasemi-Marzbali, Ali; Shafiei, Mohammad; Ahmadiahangar, Roya
• Is Part Of: Applied energy. Volume 332(2023)
• Publication Date: 2023-02-15
• Subjects: Electricity-heating system -- Optimization -- Energy storage system -- Renewable energy sources -- Energy flexibility; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2022.120351
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Proposed a novel dynamic power system scheduling to reduce costs of generation. Evaluation of PV system used for partial supply of the load demand of the grid. Applying a novel price-based demand response program to reduce RES uncertainty. Presenting a multi-vector energy model based on power-heat and water-power nexus. Abstract: Increasing technology developments and economic considerations have also made the use of renewable energy sources (RESs) and energy storage systems (ESSs) inevitable. To achieve the holistic planning of a microgrid consisting of several energy resources, this paper proposes a novel multi-vector energy system based on electricity, heating, and water generation sources. To supply electrical energy from heat generation units, a water-power nexus (WPN), an ESS, photovoltaic (PV) sources, and a combined heat and power (CHP) system are used. Considering the importance of Hydro generation in planning, combined energy-water and water-only systems are used to supply water demand, while heat-power and heating generation systems are used to supply heating. To make the model more realistic, the effects of the valve point, maximum and minimum generation constraints, increasing/decreasing rate, energy, water, and heating demand balance were taken into account. The main objective function of this study was to minimize multi-vector energy system costs in 24 h. To promote demand-side performance, the price-based demand response program was used to reduce the final costs in the entire study period. The proposed models have been formulated as a mixed-integer linear problem solved by the CPLEX solver in GAMS. Simulation results show that the use of RES and their proper management can reduce the generation of a thermal generator, which reduces the costs considerably. With the demand response program, the costs were reduced by 1.03%. This paper presents a systematic method for optimal system control that can provide a regulatory basis for the use of integrated generation sources.