Combined cooling, heating and power: A review of performance improvement and optimization

This paper presents a model for the microgrid planning problem with uncertain physical and financial information. The microgrid planning problem investigates the economic viability of microgrid deployment and determines the optimal generation mix of distributed energy resources (DERs) for installation. Net metering is considered for exchanging power with the main grid and lowering the cost of unserved energy and DER investments. A robust optimization approach is adopted for considering forecast errors in load, variable renewable generation, and market prices. The microgrid islanding is further treated as a source of uncertainty. The microgrid planning problem is decomposed into an investment master problem and an operation subproblem. The optimal planning decisions determined in the master problem are employed in the subproblem to examine the optimality of the master solution by calculating the worst-case optimal operation under uncertain conditions. Optimality cuts sent to the master problem will govern subsequent iterations. Numerical simulations exhibit the effectiveness of the proposed model and further analyze the sensitivity of microgrid planning results on variety levels of uncertainty.

Microgrid Planning Under Uncertainty

Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub

For the future development of an integrated energy system (IES) with ultra-high penetration of renewable energy, a planning model for an electricity-hydrogen integrated energy system (EH-IES) is proposed with the considerations of hydrogen production and storage technologies. In this EH-IES, a reasonable power to heat and hydrogen (P2HH) model with startup/shutdown constraints and a novel model of seasonal hydrogen storage (SHS) are proposed for the first time. To cope with the challenges faced by EH-IES, we use a combination of stochastic and robust optimization approaches to address the generation-load uncertainties, making the planning results robust. The N-1 contingency of crucial devices is further considered to make the system reliable. Additionally, the effects of the annual ratios of different seasons on the optimal allocation and operation of SHS are investigated. The min-max-min model with binary variables is solved by a nested column-and-constraint generation algorithm. Finally, case studies verified the advantages and effectiveness of the proposed model and planning method.

Optimal Planning for Electricity-Hydrogen Integrated Energy System Considering Power to Hydrogen and Heat and Seasonal Storage

Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings

A two-stage optimal planning and design method for combined cooling, heat and power microgrid system

General optimized dispatching strategy for combined supply of cooling, heating and power microgrid system

The invention belongs to the field of micro-grid optimization planning and design and relates to a double-layer optimization planning and designing method for a combined cooling, heating and power micro-grid system. The smallest whole life circle economic present value and the minimum CO2 emission are taken as the optimization target of the method, a multi-target genetic algorithm based on NSGA-II is adopted for an outer layer optimization module, and the optimal equipment combination and the equipment capacity of the system are sought according to input equipment physical parameters of the system, input economic parameters and the optimization scheduling result output by an inner layer optimization module; the hybrid integer linear programming algorithm is adopted for the inner layer optimization module, with the lowest system operation cost as the optimization target, the optimal operation strategy on a typical day of the system is obtained according to the optimization configuration scheme given by the outer layer optimization module, the optimization scheduling result of the system is output by the inner layer optimization module, and the system operation cost is transmitted to the outer layer optimization module. The method can achieve combined optimization of the configuration and the operation strategy of the combined cooling, heating and power micro-grid system.

Wang Chengshan

Papers

A two-stage optimal planning and design method for combined cooling, heat and power microgrid system

General optimized dispatching strategy for combined supply of cooling, heating and power microgrid system

Double-layer optimization planning and designing method for combined cooling, heating and power micro-grid system